Alternatives to Snapper

Compare Snapper alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Snapper in 2026. Compare features, ratings, user reviews, pricing, and more from Snapper competitors and alternatives in order to make an informed decision for your business.

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    Daylight

    Daylight

    Daylight Security

    Daylight merges lightning-fast agentic AI with elite human expertise to deliver a next-gen managed detection and response service that goes beyond alerts, aiming to “take command” of your cyber-frontier. It promises full coverage of your environment with no blind spots, context-aware protection that continuously learns from your systems and past cases (including Slack chats), near-zero false positives, the industry’s lowest mean time to detection and mean time to response, and deep integration with your IT and security stack so it supports unlimited platforms, unlimited integrations, and delivers actionable, noise-free insights via AI dashboards. With Daylight, you get true end-to-end threat detection and response (no escalation games), 24/7 expert support, custom response workflows, environment-wide visibility, and measurable improvements in analyst utilization and response speed, all built to shift your security operations from reactive to commanding.
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    CrowdStrike Falcon
    CrowdStrike Falcon is a cloud-native cybersecurity platform that provides advanced protection against a wide range of cyber threats, including malware, ransomware, and sophisticated attacks. It leverages artificial intelligence (AI) and machine learning to detect and respond to threats in real time, offering endpoint protection, threat intelligence, and incident response capabilities. The platform uses a lightweight agent that continuously monitors endpoints for signs of malicious activity, providing visibility and protection without significant impact on system performance. Falcon’s cloud-based architecture ensures fast updates, scalability, and rapid threat response across large, distributed environments. Its comprehensive security features help organizations prevent, detect, and mitigate potential cyber risks, making it a powerful tool for modern enterprise cybersecurity.
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    Proofpoint AI Security
    Proofpoint AI Security is a unified platform designed to help enterprises govern, monitor, and protect the use of AI systems, large language models, and autonomous agents across the organization. It provides visibility into both sanctioned and unsanctioned AI usage, enabling security teams to discover shadow AI tools, observe prompts and responses, and understand how AI interacts with sensitive data in real time. It applies intent-based detection and behavioral analysis to identify anomalies, prompt injection attempts, and risky interactions, while enforcing policies directly during runtime to prevent data leakage and misuse. It reconstructs full AI transactions, from user input to agent actions and outcomes, giving organizations complete traceability and audit readiness. With controls that extend across endpoints, browsers, and AI agent connections, it enables granular access governance and ensures that AI systems only access and share appropriate information.
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    F5 AI Guardrails
    F5 AI Guardrails is a runtime AI security solution designed to protect AI models, applications, agents, and connected data throughout deployment and operation. The platform helps organizations defend against adversarial threats such as prompt injection, jailbreak attacks, harmful outputs, and unauthorized AI behavior. It provides real-time monitoring and enforcement of security policies to prevent data leakage, compliance violations, and misuse of AI systems. Organizations can implement predefined guardrails or create customized policies tailored to specific business requirements and AI use cases. The platform also delivers observability, auditing, and governance capabilities that help organizations maintain visibility into AI interactions and regulatory compliance. By combining threat protection, data security, and AI governance, F5 AI Guardrails helps enterprises operate AI systems more safely and responsibly.
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    Straiker

    Straiker

    Straiker

    Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows.
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    Lasso Security

    Lasso Security

    Lasso Security

    Lasso is an AI security platform designed to help enterprises securely adopt, govern, and protect AI agents and applications throughout their lifecycle. The platform provides capabilities for AI discovery, risk assessment, automated red teaming, runtime protection, and AI detection and response within a unified solution. Organizations can inventory AI assets, map models and system prompts, monitor policy compliance, and gain visibility into AI usage across the enterprise. Lasso focuses on intent-based security, analyzing the behavior and objectives of AI systems rather than relying solely on traditional rule-based approaches. Its platform helps organizations address risks such as prompt injection, model vulnerabilities, unauthorized AI usage, and evolving threats targeting agentic systems. By combining governance, security monitoring, and proactive protection, Lasso enables enterprises to scale AI adoption while maintaining strong security and compliance standards.
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    TrojAI

    TrojAI

    TrojAI

    TrojAI is an AI security platform that helps organizations deploy and manage AI agents and applications with greater confidence and protection. The platform focuses on identifying vulnerabilities, preventing prompt injection attacks, safeguarding sensitive data, and securing AI behavior across enterprise environments. TrojAI provides both build-time and runtime security solutions that help organizations assess AI models and protect applications from emerging threats. Its technology continuously monitors AI interactions to detect unsafe actions, unauthorized access attempts, and malicious manipulations. The platform supports compliance with leading security frameworks and standards while integrating across different models, cloud providers, and enterprise infrastructures. Designed for enterprise-scale deployments, TrojAI enables organizations to innovate with AI while maintaining strong governance and security controls.
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    Cisco AI Defense
    Cisco AI Defense is a comprehensive security solution designed to enable enterprises to safely develop, deploy, and utilize AI applications. It addresses critical security challenges such as shadow AI—unauthorized use of third-party generative AI apps—and application security by providing full visibility into AI assets and enforcing controls to prevent data leakage and mitigate threats. Key components include AI Access, which offers control over third-party AI applications; AI Model and Application Validation, which conducts automated vulnerability assessments; AI Runtime Protection, which implements real-time guardrails against adversarial attacks; and AI Cloud Visibility, which inventories AI models and data sources across distributed environments. Leveraging Cisco's network-layer visibility and continuous threat intelligence updates, AI Defense ensures robust protection against evolving AI-related risks.
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    General Analysis

    General Analysis

    General Analysis

    General Analysis is an AI security platform that helps security teams adversarially test, monitor, and protect AI agents and systems in production. It is built to help organizations understand AI risk, prevent incidents, and secure real AI deployments across employee copilots, coding agents, customer support agents, healthcare assistants, legal assistants, financial copilots, creative pipelines, and other agentic workflows. It maps AI applications and agents across prompts, retrieval, tools, MCP servers, browser actions, permissions, repositories, cloud accounts, SaaS workflows, and business processes, then generates context-aware attacks that expose system-level risks. Its automated red teaming uses attacker models that adapt to target responses and produce multi-step exploit chains, helping teams uncover vulnerabilities that static prompt sets or endpoint-only tests may miss.
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    Raven

    Raven

    Raven

    Raven is a runtime application security platform designed to protect cloud-native applications by operating directly inside the application during execution, rather than relying on external defenses. It provides real-time visibility into how code actually runs, allowing it to understand execution flows, libraries, and function-level behavior in order to detect and stop malicious activity before it occurs. Unlike traditional tools such as WAF or EDR that monitor from the outside, Raven embeds itself within the application, enabling it to prevent exploits, supply chain attacks, and zero-day threats even when no known vulnerability or CVE exists. It continuously monitors runtime behavior, identifies abnormal patterns or misuse of legitimate logic, and responds immediately to block harmful execution. It also helps teams prioritize security efforts by filtering out the majority of irrelevant vulnerabilities and focusing only on those that are truly exploitable.
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    AI Security Guard

    AI Security Guard

    AI Security Guard

    AI Security Guard is a multi-faceted platform for securing autonomous AI, combining a protection SDK, product tooling, education, and original research on the agentic future. - Protection SDK: Integration-friendly API wrapper designed to shield AI agents from jailbreaks, prompt injection, and other harmful content before it reaches your models. - AgentGuard360: Built on the API: Intercepts AI traffic in real time before malicious content reaches your agents. Two-tier content scanning, supply chain protection, and device hardening in one tool. Privacy-first: Content stays local unless you request premium analysis. - Research: Original analysis on the autonomous AI future and the security, privacy, and safety issues that follow, including reports like Shipping the Future.
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    Mindgard

    Mindgard

    Mindgard

    Mindgard is the leader in AI red teaming, helping enterprises identify, assess, and mitigate real-world security risks across AI models, agents, and applications. Founded on pioneering research in AI security, Mindgard was built on the insight that traditional application security approaches cannot protect systems that are probabilistic, adaptive, and deeply embedded into business workflows. As organizations deploy GenAI and agentic systems at scale, risk increasingly emerges from how AI behaves, what it connects to, and how attackers can manipulate those interactions. Mindgard addresses this challenge with an attacker-aligned approach that mirrors how real adversaries perform reconnaissance, map attack surfaces, exploit system behavior, and pivot through tools, data, and infrastructure. Rather than testing models in isolation, Mindgard evaluates full AI systems in context to surface vulnerabilities with real security impact.
    Starting Price: Free
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    nono

    nono

    Always Further

    nono is an open source, kernel-enforced sandbox for AI coding agents and LLM workloads. Unlike policy-based guardrails that intercept and filter operations, nono uses OS security primitives — Landlock on Linux and Seatbelt on macOS — to make unauthorised operations structurally impossible at the syscall level. Wrap any AI agent — Claude Code, OpenCode, OpenClaw, or any CLI process — with a single command. nono applies default-deny filesystem access, blocks destructive commands (rm, dd, chmod, sudo), isolates credentials and API keys, and cascades all restrictions to child processes. No escape mechanism exists once restrictions are applied. Built-in profiles get you running in seconds. Secrets inject securely from the system keystore and are zeroised on exit. Audit logging, atomic rollbacks, and Sigstore-attested policy signing are on the roadmap. Apache 2.0. From the creator of Sigstore.
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    Lakera

    Lakera

    Lakera

    Lakera Guard empowers organizations to build GenAI applications without worrying about prompt injections, data loss, harmful content, and other LLM risks. Powered by the world's most advanced AI threat intelligence. Lakera’s threat intelligence database contains tens of millions of attack data points and is growing by 100k+ entries every day. With Lakera guard, your defense continuously strengthens. Lakera guard embeds industry-leading security intelligence at the heart of your LLM applications so that you can build and deploy secure AI systems at scale. We observe tens of millions of attacks to detect and protect you from undesired behavior and data loss caused by prompt injection. Continuously assess, track, report, and responsibly manage your AI systems across the organization to ensure they are secure at all times.
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    Terra

    Terra

    Terra Security

    Terra offers agentic-AI powered continuous web application penetration testing as a service, combining AI agents with human expert supervision to deliver deep, business-context aware security assessments. It provides full coverage of an organization’s web application attack surface, continuously testing through changes rather than only at fixed intervals. The tool delivers real-time adaptability, meaning newly deployed or updated features are automatically evaluated for vulnerabilities, not waiting for quarterly or annual audits. Terra’s reports are designed to be compliance-audit ready, reflecting proof of exploitability, likelihood, potential breach comparison, and business impact, along with suggestions for remediation. It emphasizes prioritization of real risks, tailored to the customer's business context and risk profile, with visibility across all applications and features. Users benefit from increased efficiency and accuracy over traditional automated pentests.
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    Reclaim Security

    Reclaim Security

    Reclaim Security

    Reclaim Security is an AI-driven cybersecurity platform designed to automatically identify and fix security exposures across an organization’s existing security tools and infrastructure. Instead of simply detecting vulnerabilities or generating alerts, it focuses on automated remediation, helping security teams resolve misconfigurations, enforce security policies, and reduce risk without requiring extensive manual intervention. It scans the organization’s security stack, including cloud environments, identity platforms, endpoint protection tools, and other defenses, to identify gaps, weak configurations, or ineffective controls that could be exploited by attackers. Once risks are detected, it analyzes them in the context of real-world attack techniques and prioritizes the issues that pose the greatest threat. It then proposes remediation actions and can automatically deploy those changes once approved, ensuring security configurations remain optimized.
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    CrowdStrike Charlotte AI
    CrowdStrike Charlotte AI is an advanced, AI-driven cybersecurity solution designed to enhance threat detection and response by leveraging machine learning and behavioral analysis. It continuously monitors network activity, endpoints, and cloud environments to identify patterns and anomalies that could indicate malicious behavior or potential cyber threats. By using advanced algorithms, Charlotte AI can predict and detect sophisticated attacks in real-time, reducing response times and improving overall threat prevention. Its ability to analyze vast amounts of data and provide actionable insights allows security teams to proactively address vulnerabilities and prevent incidents before they occur. Charlotte AI is part of CrowdStrike's broader suite of cybersecurity tools, helping organizations stay ahead of emerging threats with cutting-edge, automated defense capabilities.
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    7AI

    7AI

    7AI

    7AI is an agentic security platform built to automate and accelerate the entire security operations lifecycle using specialized AI agents that investigate security alerts, form conclusions, and take action, turning processes that once took hours into minutes. Unlike traditional automation tools or AI copilots, 7AI deploys purpose-built, context-aware agents that are architecturally bounded to avoid hallucinations, and operate autonomously; they ingest alerts from existing security tools, enrich and correlate data across endpoints, cloud, identity, email, network, and more, and then produce full investigations with evidence, narrative summaries, cross-alert correlation, and audit trails. It offers a complete security stack: detection to triage alerts (filtering out noise and up to 95–99% of false positives), investigations (multi-system data-gathering and expert-level reasoning), and unified incident-case management (auto-populated cases, team collaboration, and handoffs).
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    Backslash Security
    The software development lifecycle has fundamentally changed. Developers across engineering organizations are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — at scale. The security controls built for traditional development were not designed for this environment. Backslash Security addresses this gap directly. The platform gives security teams visibility into AI coding tool usage, the code being generated, MCP server connections made by AI agents, and the risk introduced before it reaches production. Core capabilities: AI coding tool inventory and policy enforcement MCP server visibility and access control Vibe coding security — risk detection in AI-generated code Continuous monitoring without disrupting engineering workflows Purpose-built for AI-native development — not a legacy scanner repositioned for a new market. For security leaders governing an environment they didn't design, Backslash provides the visibility and control you need.
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    Mondoo

    Mondoo

    Mondoo

    Mondoo is a unified security and compliance platform designed to drastically reduce business-critical vulnerabilities by combining full-stack asset visibility, risk prioritization, and agentic remediation. It builds a complete inventory of every asset, cloud, on-premises, SaaS, endpoints, network devices, and developer pipelines, and continuously assesses configurations, exposures, and interdependencies. It then applies business context (such as asset criticality, exploitability, and policy deviation) to score and highlight the most urgent risks. Users can choose guided remediation (pre-tested code snippets and playbooks) or autonomous remediation via orchestration pipelines, with tracking, ticket creation, and verification built in. Mondoo supports ingestion of third-party findings, integrates with DevSecOps toolchains (CI/CD, IaC, container registries), and includes 300 + compliance frameworks and benchmark templates.
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    LangProtect

    LangProtect

    LangProtect

    LangProtect is an AI-native security and governance platform that protects LLM and Generative AI applications from prompt injection, jailbreaks, sensitive data leakage, and unsafe or non-compliant outputs. Built for production GenAI, it enforces real-time runtime controls at the AI execution layer by inspecting prompts, model responses, and tool/function calls as they happen. This allows teams to block high-risk behavior before it reaches end users, triggers downstream actions, or exposes confidential data. LangProtect integrates into existing LLM stacks via an API-first approach with minimal latency and supports cloud, hybrid, and on-prem deployments for enterprise security and data residency needs. It also secures modern architectures such as RAG pipelines and agentic workflows with policy-driven enforcement, continuous visibility, and audit-ready governance.
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    Cortex AgentiX

    Cortex AgentiX

    Palo Alto Networks

    Cortex AgentiX is the next-generation evolution of Cortex XSOAR®, designed by Palo Alto Networks to securely build, deploy, and govern AI-powered security agents. It enables organizations to unleash agentic AI that acts as intelligent teammates, capable of planning and executing complex workflows around the clock. Cortex AgentiX is powered by over 1.2 billion real-world playbook executions, providing agents with proven operational intelligence. The platform offers a rich library of ready-to-use agents while also supporting custom, no-code agent creation tailored to specific security needs. With built-in guardrails, Cortex AgentiX ensures agents operate with the appropriate level of autonomy, including human-in-the-loop approvals for critical actions. Full transparency allows teams to trace every agent decision, action, and outcome for audit and compliance purposes. Cortex AgentiX integrates seamlessly across the Cortex ecosystem to help organizations stay ahead of evolving threats.
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    UPX

    UPX

    UPX Cybersecurity

    UPX (Ultimate Packer for eXecutables) is a high-performance executable compression tool designed to reduce the size of programs and libraries without affecting their functionality or performance. It works by compressing executable files such as EXE, DLL, and other formats across multiple operating systems, including Windows, Linux, and macOS, typically reducing file sizes by 50% to 70%, which helps decrease disk usage, download times, and network load. The compressed executables remain fully self-contained and run exactly as before, as it automatically decompress at runtime without requiring additional dependencies or noticeable memory overhead. UPX uses efficient lossless compression algorithms and supports in-place decompression, allowing programs to execute directly from memory while preserving speed and behavior. It is designed to be secure and transparent, as its open-source nature allows antivirus and security tools to inspect compressed files without obstruction.
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    AQtive Guard

    AQtive Guard

    SandboxAQ

    AQtive Guard is a cybersecurity platform that helps organizations secure and manage cryptographic assets and non-human identities (NHIs) such as AI agents, keys, certificates, algorithms, and machine identities across their entire IT environment. It delivers continuous discovery and real-time visibility into NHIs and cryptography, integrating with existing security tools, cloud providers, and repositories to provide a unified view of security posture. Using advanced AI and large quantitative models, the platform analyzes vulnerabilities, prioritizes risks, and offers actionable insights with automated remediation workflows to fix issues and enforce policies such as credential rotation or certificate renewal. AQtive Guard supports compliance with evolving standards, including new NIST cryptographic protocols, and enables lifecycle management of cryptographic assets to reduce risk from current and future threats.
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    Pillar Security

    Pillar Security

    Pillar Security

    Pillar Security is a unified AI security platform for securing the agentic workforce across the entire AI lifecycle, from development to deployment and runtime protection. It connects business context across discovery, testing, and protection so security intelligence compounds across AI applications, agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, SaaS, cloud, code, and endpoints. Pillar helps organizations discover and manage AI assets everywhere, including shadow AI and unapproved systems, assess supply chain and posture risks, map agentic attack surfaces, and validate the vulnerabilities that actually matter. Its AI Security Posture Management capabilities analyze connected agents, tools, permissions, data sources, prompts, models, and supply chain components to expose risky paths, policy violations, misconfigurations, coding agent risks, and blast radius when a single component is compromised.
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    Protect AI

    Protect AI

    Palo Alto Networks

    Protect AI performs security scans on your ML lifecycle and helps you deliver secure and compliant ML models and AI applications. Enterprises must understand the unique threat surface of their AI & ML systems across the lifecycle and quickly remediate to eliminate risks. Our products provide threat visibility, security testing, and remediation. Jupyter Notebooks are a powerful tool for data scientists to explore data, create models, evaluate experiments, and share results with their peers. The notebooks contain live code, visualizations, data, and text. They introduce security risks and current cybersecurity solutions do not work to evaluate them. NB Defense is free to use, it quickly scans a single notebook or a repository of notebooks for common security issues, identifies problems, and guides your remediation.
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    Arambh Labs

    Arambh Labs

    Arambh Labs

    Arambh Labs is an agentic AI platform built to transform security operations from reactive firefighting into intelligent, proactive defense. The system deploys specialized AI agents — such as Byte, Rook, Echo, and Talon — each with distinct roles in alert response, strategic planning, threat hunting, and intelligence gathering. By correlating signals across identity, data, endpoints, networks, and cloud environments, the platform delivers full visibility into an organization’s security posture. Its intelligent prioritization ensures that teams focus only on the risks that truly matter, eliminating alert fatigue. Agentic remediation capabilities allow threats to be contained and vulnerabilities fixed at machine speed, drastically reducing mean time to response (MTTR). Backed by ex-Googlers and Fortinet engineers with patented expertise, Arambh Labs is enterprise-ready, scalable, and trusted by leading global security teams.
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    Zenity

    Zenity

    Zenity

    Enterprise copilots and low-code/no-code development platforms make it easier and faster than ever to create powerful business AI applications and bots. Generative AI makes it easier and faster for users of all technical backgrounds to spur innovation, automate mundane processes, and craft efficient business processes. Similar to the public cloud, AI and low-code platforms secure the underlying infrastructure, but not the resources or data built on top. As thousands of apps, automation, and copilots are built, prompt injection, RAG poisoning, and data leakage risks dramatically increase. Unlike traditional application development, copilots and low-code do not incorporate dedicated time for testing, analyzing, and measuring security. Unlock professional and citizen developers to safely create the things they need while meeting security and compliance standards. We’d love to chat with you about how your team can unleash copilots and low-code development.
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    Karamba XGuard

    Karamba XGuard

    Karamba Security

    Karamba Security’s XGuard is an integrated solution of embedded software agents and a cloud-based backend. XGuard agents deterministically prevent malware and fileless attacks. The backend engine detects anomalous behavior and provides proactive alerts about suspicious devices. XGuard agents are integrated as part of the firmware build toolchain. No source code is required, development processes are untapped, and the agent is seamlessly integrated with the product binaries. Verification & validation are likewise unchanged. The product software image is tested with XGuard embedded into it, without requiring changes to test plans, as XGuard’s addition doesn’t change product functionality. XGuard automatically adjusts to a wide variety of device and fleet behaviors without requiring any user intervention. XGuard software enables OEMs and device manufacturers to assure their customers a high level of protection against cyberattacks.
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    Transilience AI

    Transilience AI

    Transilience AI

    Transilience AI is a cutting-edge platform designed to optimize cybersecurity operations by automating vulnerability management, compliance audits, and threat detection. Its AI agents streamline complex security tasks, enabling security teams to focus on critical threats and strategic priorities. Transilience's capabilities include rapid patching prioritization, real-time threat intelligence aggregation, and improving security performance metrics, all while ensuring compliance with regulatory standards. The platform is tailored to various security roles such as AppSec engineers, compliance officers, and vulnerability managers, providing them with precise insights and actionable recommendations. By automating workflows and minimizing manual efforts, Transilience AI enhances the efficiency and effectiveness of security teams.
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    AWS Security Agent
    AWS Security Agent is a new frontier AI-powered agent that proactively secures your applications throughout the development lifecycle, from design and architecture planning, through code changes, to deployment and penetration testing. It lets security teams define organizational security requirements (for example, approved auth libraries, encryption standards, logging practices, data-access policies) once in the AWS Console; then the agent automatically validates design documents, architectural plans, and code against those standards. Before a single line of code is written, AWS Security Agent can perform a design review, analyzing architectural documents uploaded into the web application (or ingested from storage), and flag potential security risks or non-compliance with custom or Amazon-managed standards, providing remediation guidance.
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    CloudCover CyberSafety Platform (CC/B1)
    CloudCover CyberSafety B1 Platform (CCB1) is an advanced AI‑based SOAR security threat management solution that operates at sub‑second speed, ingesting real‑time context from an organization’s assets, configurations, threat intelligence, and business criticality to dynamically prioritize risks and deflect attacks with 99.9999999% accuracy and zero false positives. Leveraging patented deep‑learning risk orchestration, it has recorded and halted over 41 billion breach attempts in microseconds without compromise, continuously detecting, capturing, and preventing kompromat across cloud and on‑premises environments. CCB1 integrates seamlessly with existing security stacks to form a predictive CyberSafety layer that automates remediation workflows, deploying patches, configuration changes, or compensating controls, while built‑in AI agents adapt in real time to emerging threats.
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    Bricklayer AI

    Bricklayer AI

    Bricklayer AI

    Bricklayer AI is an autonomous AI security team designed to enhance Security Operations Centers (SOCs) by managing endpoint, cloud, and SIEM alerts. Its multi-agent architecture mirrors human team workflows, enabling AI analysts and incident responders to collaborate seamlessly with human experts. Key features include automated alert triage, incident response, and threat intelligence analysis, all executed through natural language commands. The platform integrates effortlessly with existing tools and processes, allowing for the development of custom API integrations to gather data from an organization's entire tech stack. Bricklayer AI reduces monitoring costs, accelerates threat detection and response times, and scales operations without the need for additional human resources. Its action-based tasking ensures that every alert is investigated, feedback is shared, and responses are delivered in real time.
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    GuardionAI

    GuardionAI

    GuardionAI

    GuardionAI is an Agent and MCP Security Gateway that provides unified security for AI agents and Model Context Protocol tools operating on enterprise data. It sits in the execution path to discover, redact sensitive data, enforce protection, and give teams visibility into actions that traditional SIEM, DLP, and identity layers cannot see. Every agent action is inspected, enforced, and logged at the protocol level across AI agents, LLM apps, RAG systems, chatbots, coding agents, MCP servers, internal tools, databases, operating systems, and cloud environments. GuardionAI protects against critical AI threats such as prompt injection, system override, web attacks, MCP tool poisoning, malicious code execution, NSFW content, PII and credential exposure, confidential data leakage, off-topic drift, and unauthorized access, mapped to OWASP LLM Top 10 and agentic AI threat frameworks. Its gateway provides four layers of protection.
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    HiddenLayer

    HiddenLayer

    HiddenLayer

    Your AI algorithms represent a unique competitive advantage for your company and come at a considerable expense. A successful adversarial attack against them could cost you that advantage and you would never know it happened. HiddenLayer is the first productized solution for the next security frontier – your AI. HiddenLayer offers a drop-in software approach that provides a lightweight, real-time awareness of your model’s health and attack surface — without ever needing insight into it or the training set used to create it. Most adversarial AI security firms need to engage panels of expensive experts to take your algorithm apart and harden it from the inside, adding complexity and cost. HiddenLayer was founded by ML professionals and security specialists with first-hand experience of how insidious adversarial ML attacks can be to detect and defend against.
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    CrowdStrike Falcon AIDR
    CrowdStrike Falcon AI Detection and Response (AIDR) is an enterprise security platform designed to protect the rapidly expanding AI attack surface by delivering real-time visibility, detection, and response across AI systems, users, and interactions. It provides unified visibility into how employees and AI agents use generative AI by mapping relationships between users, prompts, models, agents, and supporting infrastructure, while capturing detailed runtime logs for monitoring, compliance, and investigation. It continuously monitors AI activity across endpoints, cloud environments, and applications, enabling organizations to understand how data flows through AI systems and how agents operate within defined boundaries. AIDR detects and blocks AI-specific threats such as prompt injection, jailbreak attempts, malicious entities, harmful outputs, and unauthorized interactions, using behavioral analysis and integrated threat intelligence.
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    Exaforce

    Exaforce

    Exaforce

    ​Exaforce is a SOC platform that enhances the productivity and efficacy of security operations center teams by 10x through the integration of AI bots and advanced data exploration. It utilizes a semantic data model to ingest and deeply analyze large-scale logs, configurations, code, and threat feeds, facilitating better reasoning by humans and large language models. By combining this semantic model with behavioral and knowledge models, Exaforce autonomously triages alerts with the skill and consistency of an expert analyst, reducing the time from alert to decision to minutes. Exabots automate tedious workflows such as confirming actions with users and managers, investigating historical tickets, and correlating against change management systems like Jira and ServiceNow, thereby freeing up analyst time and reducing fatigue. Exaforce offers advanced detection and response solutions for critical cloud services.
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    Ocean

    Ocean

    Ocean

    Ocean is an agentic email security platform that prevents AI-powered targeted attacks, automates triage, and gives employees real-time guidance. Traditional defenses scan the surface for anomalies and patterns that AI is now trained to avoid, while Ocean goes deeper by investigating every email before it reaches the inbox, not after the damage is done. Its central intelligence engine, Ray, coordinates a swarm of purpose-built agents that understand intent, enrich context, and follow the evidence across infrastructure, files, abuse mailboxes, links, identity, financial signals, quarantine, and contacts. Ocean builds a living memory of how an organization operates and communicates, adapts from day one, and constantly learns. Every verdict comes with the full reasoning behind it, every signal checked, and every step taken, backed by evidence instead of a score or black box.
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    AIM Intelligence

    AIM Intelligence

    AIM Intelligence

    AIM Intelligence is an enterprise AI security platform built to keep AI under control as agents make decisions, call APIs, and take actions across real business systems. It attacks AI before real attackers do and enforces real-time guardrails to keep every agent operating within enterprise policies. Its integrated solutions cover automated AI red teaming, real-time guardrails, and security framework consulting, helping organizations resolve complex AI risks across the full development and production lifecycle. Stinger automates AI vulnerability discovery by generating millions of attack scenarios, supporting end-to-end agentic red teaming beyond prompt-level attacks, testing across text, image, audio, video, and physical AI, and enabling business logic-based custom vulnerability testing. Starfort enforces real-time AI guardrails by detecting and protecting sensitive data such as PII and trade secrets, controlling abnormal API calls from autonomous agents.
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    Bold Security

    Bold Security

    Bold Security

    Bold is an AI-driven endpoint security platform designed to protect enterprise devices such as laptops and workstations by deploying an autonomous security agent directly on the endpoint. It continuously monitors how users interact with applications, files, and data on the device, enabling it to detect unusual or risky behavior in real time rather than relying solely on traditional cloud-based monitoring tools. Because the AI agent runs locally on the device, it can observe every workflow and application activity without gaps caused by unsupported APIs or external integrations, providing full visibility into user actions and system behavior. When the platform detects a potential security risk, it does not simply generate an alert but can automatically enforce protective actions, turning threats into resolved incidents before they escalate into breaches.
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    AgentShield

    AgentShield

    AgentShield

    AgentShield is a next-generation identity platform built to verify both human users and AI agents acting on their behalf. It enables organizations to confirm who an agent is, whether the person behind the agent has provided explicit authority, and that the agent is trustworthy, all through APIs and JavaScript integrations. The product includes tools that detect agentic sessions on a website. and enforces identity and permission checks for agent-to-agent or agent-to-service interactions under the open Model Context Protocol Identity (MCP-I) specification. With KYA, businesses can securely manage agent identities and permissions, institute audit-trails, automation workflows, and finely-tuned access control for autonomous systems, thereby protecting themselves from misuse of digital identities and ensuring transparency when AI systems act on behalf of users.
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    OpenBox

    OpenBox

    OpenBox

    OpenBox is an enterprise-grade AI governance platform designed to make AI systems transparent, auditable, and safe to deploy at scale by enforcing real-time oversight across every agent action and system interaction. It provides a unified governance layer that connects identity, policy, risk, and compliance into a single runtime system, eliminating the fragmentation typically found across multiple tools and enabling organizations to standardize control over AI behavior. It integrates directly into existing AI workflows through a lightweight SDK, requiring no architectural changes, and immediately delivers full visibility into how AI agents operate, make decisions, and interact with other systems. OpenBox monitors and evaluates every action before execution, applying policy enforcement and regulatory checks in real time to prevent non-compliant or risky behavior rather than reacting after errors occur.
    Starting Price: Free
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    Simaril

    Simaril

    Simaril

    Silmaril is a self-healing prompt injection defense designed to protect AI systems from increasingly complex, multi-step attacks that traditional guardrails fail to stop. It operates by wrapping inference calls and evaluating whether an execution sequence is leading toward a harmful outcome, rather than simply filtering inputs. It uses a multihead classifier that analyzes user intent, application context, and execution states together, enabling it to detect indirect injection, multi-turn attack chains, context poisoning, and tool abuse before damage occurs. Silmaril continuously strengthens its defenses through autonomous threat hunting agents that probe systems, discover vulnerabilities, and generate synthetic training data from real attack scenarios. These insights are used to retrain the model automatically, deploying updated protections in under an hour and propagating anonymized defenses across all deployments.
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    EarlyCore

    EarlyCore

    EarlyCore

    EarlyCore is a security platform built for AI agents. It automates pre-production attack testing, real-time monitoring, and compliance reporting across the full agent lifecycle. Scans agents against thousands of attack scenarios covering prompt injection, jailbreaking, data exfiltration, tool misuse, and supply chain threats. In production, tracks every agent action, establishes behavioral baselines, and flags anomalies in real time. Alerts push to Slack, email, or webhooks. Compliance docs generate automatically, mapped to ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR. Always audit-ready. Deploys in 15 minutes with zero code changes. Integrates with AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, and more. Multi-tenant support for agencies and MSSPs. Built for security teams, agencies, and MSSPs securing AI agents at scale.
    Starting Price: $100/month
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    Dropzone AI

    Dropzone AI

    Dropzone AI

    Dropzone AI replicates the techniques of elite analysts and autonomously investigates every alert. Our specialized AI agent autonomously performs end-to-end investigations and will cover 100% of your alerts. ‍ Trained to replicate the investigation techniques of best-in-class SOC analysts, its reports are fast, detailed and accurate. You can also go deeper with its chatbot. Dropzone’s cybersecurity reasoning system, purpose-built on top of advanced LLMs, runs a full end-to-end investigation tailored for each alert. Its security pre-training, organizational context understanding and guardrails make it highly accurate. Dropzone then generates a full report, with the conclusion, executive summary, and full insights in plain English. You can also converse with its chatbot for ad-hoc inquiries.
    Starting Price: $36,000/year
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    iDox.ai Guardrail
    iDox.ai Guardrail is a real-time AI security layer that prevents sensitive data exposure in generative AI workflows. It operates at the endpoint to intercept prompts, file uploads, and AI interactions before data leaves the user’s device. Guardrail applies policy-based controls to detect and block sensitive data such as PII, PHI, PCI, intellectual property, and confidential business information. Unlike traditional data loss prevention (DLP) tools, Guardrail is built specifically for AI usage. It monitors how users interact with AI tools like ChatGPT, Microsoft Copilot, and Claude, and enforces protection in real time. Key capabilities include: - Real-time prompt and file monitoring - AI-aware sensitive data detection - On-the-fly anonymization and sanitization - Protection against AI agent risks (e.g., unauthorized file access like OpenClaw) - Website whitelisting and policy enforcement
    Starting Price: $9/device/month
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    Prophet Security

    Prophet Security

    Prophet Security

    Prophet Security delivers the industry’s most comprehensive Agentic AI SOC Platform, purpose‑built to transform how security operations work. Our platform autonomously triages, investigates, and responds to alerts, eliminating repetitive manual work and enabling teams to focus on what matters most: defending against real threats. By automating the time‑intensive investigative tasks that bog down analysts, Prophet AI dramatically improves SOC efficiency, accelerates response times, and strengthens an organization’s overall security posture. The results speak for themselves: reducing investigation times from 30–40 minutes to just 3, eliminating 99% of false positives, and giving security teams back hundreds of hours each month. With backing from Accel Partners, Bain Capital Ventures, and leading security practitioners, we are on a mission to redefine what’s possible for modern SOCs — making them faster, smarter, and more resilient.
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    Prompt Security

    Prompt Security

    SentinelOne

    Prompt Security enables enterprises to benefit from the adoption of Generative AI while protecting from the full range of risks to their applications, employees and customers. At every touchpoint of Generative AI in an organization — from AI tools used by employees to GenAI integrations in customer-facing products — Prompt inspects each prompt and model response to prevent the exposure of sensitive data, block harmful content, and secure against GenAI-specific attacks. The solution also provides leadership of enterprises with complete visibility and governance over the AI tools used within their organization.
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    Akto

    Akto

    Akto

    Akto is an open source API security in CI/CD platform. Key features of Akto include: 1. API Discovery 2. API Security Testing 3. Sensitive Data Exposure 4. API Security Posture Management 5. Authentication and Authorization 6. API Security in DevSecOps Akto helps developers and security teams secure APIs in their CI/CD by continuously discovering and testing APIs for vulnerabilities. Akto's pricing is transparent on website. Free tier is available. You can deploy both self-hosted and in cloud. It takes only few mins to deploy and see results. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.
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    CodeWall

    CodeWall

    CodeWall

    CodeWall is an AI-powered autonomous penetration testing platform that continuously finds and validates security vulnerabilities in your applications. Unlike traditional point-in-time pentests, CodeWall deploys AI agents that autonomously map attack surfaces, chain real exploits, and deliver verified proof-of-concept evidence — running continuously alongside your change management and development cycle. Key capabilities: automated reconnaissance and subdomain enumeration, multi-phase exploit chaining, authenticated testing, AI/LLM vulnerability detection, and compliance-tagged findings. Supports web apps, REST/GraphQL APIs, cloud infrastructure, and internal tooling. Integrates with CI/CD pipelines via CLI and REST API.