Alternatives to Mindgard

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

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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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    Enkrypt AI

    Enkrypt AI

    Anaconda

    Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.
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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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    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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    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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    Flint AI

    Flint AI

    SandboxAQ

    Flint AI is a local-first, framework-agnostic AgentOps CLI that helps developers determine whether an AI agent is reliable before it reaches production. One command, flintai scan, analyzes Python source code for security vulnerabilities, misconfigurations, risky tool access, missing guardrails, and quality issues, then uses AI reasoning to triage likely false positives. A second command, flintai eval, sends functional and adversarial prompts to a running agent and scores its responses across more than 35 built-in evaluations, including factual accuracy, instruction adherence, prompt injection resistance, jailbreak resilience, and other runtime behaviors. Each agent receives a reliability score, with findings mapped to OWASP Agentic Security Initiative risks ASI01 through ASI10 and severity scored using CVSS v4.0. Flint AI works with agent frameworks and SDKs including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen.
    Starting Price: Free
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    CyCraft XecGuard
    XecGuard is CyCraft’s LLM Firewall for trustworthy, agentic AI, designed to protect enterprise AI systems from prompt injection, jailbreak, prompt extraction, data leakage, unsafe outputs, and agentic workflow risks. Built on CyCraft’s red teaming and blue teaming experience across government, finance, and high-tech manufacturing, XecGuard goes beyond model-level defenses by combining AI guardrails, cybersecurity controls, compliance protection, and risk response strategies for real-world enterprise AI adoption. It is positioned as a plug-and-play LoRA security module that can strengthen LLM defenses without requiring changes to the underlying model architecture, helping teams add protection quickly while preserving performance. XecGuard is built on proprietary security datasets and multi-stage fine-tuning techniques, enabling LLMs to better resist adversarial prompts, malicious manipulation, and attempts to extract protected instructions or sensitive information.
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    Pi

    Pi

    Pi Security

    Pi is an agentic product security platform that builds institutional security memory so organizations can find, fix, and prevent recurring vulnerabilities without slowing development. It continuously ingests codebases, past incidents, pentest reports, tickets, and other security history into a living inventory, giving the system context about how the organization builds and secures software. When a vulnerability is found, Pi traces it to its architectural root cause, searches for variants across the codebase, and helps close the entire class of issue rather than treating each finding independently. Remediation is generated in the context of the organization’s languages, architecture, and conventions, then delivered directly into developer workflows. What the system learns becomes prevention guardrails that can be applied in IDEs and pull requests during design and coding, blocking known insecure patterns before they reach production.
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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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    Onyx Security

    Onyx Security

    Onyx Security

    Onyx is a secure AI control plane for discovering, protecting, governing, optimizing, and measuring AI agents and models across the enterprise. It gives security, governance, and AI teams visibility into sanctioned and shadow AI across SaaS, cloud, endpoints, and code, including prompts, responses, and agent actions. AI Security helps strengthen posture, identify vulnerabilities, and enforce real-time safeguards against threats and misuse, while AI Governance supports security standards and regulatory requirements with opt-in coverage and policy controls defined in natural language. AI Orchestration reduces friction when setting up agents and MCPs and helps optimize for cost, accuracy, and latency. AI ROI measures adoption, sets goals, and tracks outcomes across departments. The Onyx Guardian Agent acts as a supervisory AI that continuously identifies risks and remediates issues across the platform, helping organizations manage large numbers of agents at scale.
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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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    Snapper

    Snapper

    Snapper

    Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring.
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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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    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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    SimSpace

    SimSpace

    SimSpace

    SimSpace provides a realistic cyber range and AI proving ground for validating, operationalizing, and building AI agents alongside human operators inside a digital replica of a production environment. Security teams can continuously stress-test agentic and human defenses against realistic user behavior, attack emulation, and LLM-driven threats before they reach production. It reproduces actual infrastructure, tools, data schemas, workflows, and playbooks so organizations can evaluate how agents behave under real operating conditions rather than relying on representative test environments. SimSpace assesses not only outcomes but also the complete trajectory of an agent’s behavior, including tool calls, escalation gates, and error recovery, helping identify agents that reach the right result for the wrong reasons. Validation can run continuously through headless, API-driven workflows designed for CI/CD environments as models and playbooks evolve.
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    Secure Traces

    Secure Traces

    Secure Traces

    Secure Traces is an AI-first enterprise technology company focused on agentic AI, healthcare and pharmaceutical modernization, cybersecurity, cloud infrastructure, and enterprise applications. Its services include autonomous AI agents, LLM pipelines, AI governance, 24/7 security operations, threat hunting, secure cloud modernization, Oracle platforms, and operational technology security. The company also develops healthcare, pharmacy, payer, and insurance technology solutions designed for regulated environments. Secure Traces supports HIPAA and GxP-aligned workflows and provides cybersecurity services mapped to frameworks such as MITRE. Its delivery model covers assessment, strategy, implementation, monitoring, response, and continuous optimization across complex enterprise environments.
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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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    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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    middleBrick

    middleBrick

    middleBrick

    middleBrick is a zero-friction security scanner for APIs and AI models designed for high-performance engineering teams. Unlike traditional scanners that require complex agents or credentials, middleBrick delivers a comprehensive security audit in under 60 seconds by simply analyzing an endpoint URL. Coverage includes 14 critical security categories: Full OWASP API Top 10 (BOLA/IDOR, BFLA, Mass Assignment, SSRF). AI/LLM Security: 18 adversarial probes testing for prompt injection, jailbreaks, and leakage. Web3 & DeFi: Specialized scanning for JSON-RPC nodes (Ethereum, Solana, Cosmos) and price oracle integrity. Integrated for modern workflows with a GitHub Action, CLI, and an MCP server for Claude and Cursor. middleBrick provides prioritized findings with production-ready remediation steps to help you ship secure code today. It is the "smoke alarm" for your API infrastructure, always on, only alerting you when there is a fire.
    Starting Price: $99/month
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    Darktrace / SECURE AI
    Darktrace / SECURE AI is an AI security solution that brings every AI interaction across an organization into a single view, helping teams understand intent, assess risk, protect sensitive data, and support policy alignment. It monitors prompts, sessions, and responses in real time across enterprise GenAI tools such as Microsoft Copilot and ChatGPT Enterprise, low-code environments including Microsoft Copilot Studio, high-code platforms such as Amazon Bedrock and SageMaker, SaaS applications, and SASE. Behavioral analytics distinguish normal, business-aligned activity from significant or risky deviations, detecting conversational prompt attacks, malicious chaining, and unsafe actions without relying only on historical attack patterns. Darktrace learns directly from the environment it protects, allowing it to identify novel and AI-related threats on first encounter.
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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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    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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    Alice

    Alice

    Alice

    Alice (formerly ActiveFence) is a security, safety, and trust platform built to protect AI systems and online platforms in the GenAI era. Powered by the world’s largest adversarial intelligence dataset, Alice safeguards over 3 billion users across more than 120 languages. Its Rabbit Hole intelligence engine continuously analyzes billions of toxic and manipulative data samples to detect emerging threats in real time. The WonderSuite platform includes tools like WonderBuild for pre-launch stress testing, WonderFence for runtime guardrails, and WonderCheck for automated red-teaming. By defending against prompt injection, jailbreaks, governance gaps, and harmful AI behavior, Alice enables enterprises and foundation model labs to innovate with confidence.
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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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    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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    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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    XBOW

    XBOW

    XBOW

    XBOW is an AI-powered offensive security platform that autonomously discovers, verifies, and exploits vulnerabilities in web applications without human intervention. By executing high-level commands against benchmark descriptions and reviewing outputs it solves a wide array of challenges, from CBC padding oracle and IDOR attacks to remote code execution, blind SQL injection, SSTI bypasses, and cryptographic exploits, achieving success rates up to 75 percent on standard web security benchmarks. Given only general instructions, XBOW orchestrates reconnaissance, exploit development, debugging, and server-side analysis, drawing on public exploits and source code to craft custom proofs-of-concept, validate attack vectors, and generate detailed exploit traces with full audit trails. Its ability to adapt to novel and modified benchmarks demonstrates robust scalability and continuous learning, dramatically accelerating penetration-testing workflows.
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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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    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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    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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    FairNow

    FairNow

    FairNow

    FairNow equips organizations with all the AI governance tools they need to ensure global compliance and manage AI risk. Loved by CPOs, CAIOs, risk management, and legal professionals, FairNow's features are simplified, centralized, and empowering for the entire team. FairNow’s platform continuously monitors AI models to ensure that every model is fair, compliant, and audit-ready. Top features include: - Intelligent AI Risk Assessments: Conduct real-time assessments of AI models, using their deployment locations to highlight possible reputational, financial, and operational risks. - Hallucination Detection: Proactively detect errors and unexpected answers. - Automated Bias Evaluations: Automate bias evaluations and mitigate algorithmic bias as it happens. Plus: - AI Inventory - Centralized Policy Center - Roles and Controls FairNow’s AI governance platform helps organizations build, buy, and deploy AI with complete confidence.
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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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    NVIDIA Open Agent Safety Platform
    NVIDIA Open Agent Safety Platform is an open reference design for continuously monitoring and governing AI agent behavior, helping organizations keep agents isolated, observable, auditable, and within defined operational boundaries. It combines runtime governance, continuous threat detection, and hardware-isolated policy enforcement to secure enterprise AI agents from testing through deployment. NVIDIA OpenShell provides an open-source runtime that separates how agents execute from how they reach data, tools, and external systems, using sandboxed execution and deterministic, zero-trust policy enforcement to control what agents can see, do, and interact with. Policies are enforced outside the agent process, helping limit the impact of unexpected behavior. NVIDIA Sentry adds an independent security layer that observes agent requests and responses, establishes verifiable agent identities, continuously governs access to data, tools, APIs, and services, and can quarantine agents.
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    PentestOps

    PentestOps

    Extranet Systems Pty Ltd

    PentestOps is an AI-powered Continuous Security Validation platform that helps organisations continuously identify, validate, prioritise and remediate cyber risk. Built for enterprises, government and MSP/MSSP providers, PentestOps combines autonomous penetration testing, exploitability validation, attack surface management, continuous monitoring, compliance, threat intelligence and AI-driven remediation in one platform. Unlike traditional vulnerability scanners and periodic penetration tests, PentestOps validates real-world exploitability to identify which risks can actually be weaponised. It supports web applications, APIs, internal and external networks, cloud and infrastructure, with findings mapped to MITRE ATT&CK and prioritised using exploitability and threat context. PentestOps also provides AI remediation playbooks, continuous assessment, compliance mapping and executive, technical and remediation reporting.
    Starting Price: $499/month
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    DeepKeep

    DeepKeep

    DeepKeep

    DeepKeep is an AI security platform that helps organizations securely build, deploy, and use AI applications, agents, models, and employee AI tools. It addresses risks traditional security controls were not designed for, including prompt injection, sensitive data leakage, hallucinations, unsafe outputs, agent misuse, malicious models, and shadow AI. DeepKeep secures the full AI lifecycle through automated and Vibe AI Red Teaming, real-time AI Firewall and guardrails, AI Usage Control, AI Agent Scanner, and Model Scanning. It enables security teams to identify vulnerabilities before deployment, map agent attack surfaces, inspect models, control employee AI usage, and protect AI interactions in production. DeepKeep is model-agnostic, multimodal, and natively multilingual. It supports SaaS, private cloud, on-premises, and air-gapped deployments, helping enterprises secure AI while meeting privacy, sovereignty, and regulatory requirements.
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    Codename MDASH
    Codename MDASH is an agentic code scanner in Microsoft Defender that uses a multi-model AI system to detect, validate, and remediate vulnerabilities with greater depth than traditional static analysis. It extends Defender CLI with a multistage pipeline in which specialized agents collaborate across four stages. Prepare ranks files by risk using call-graph analysis and code-complexity metrics, prioritizing functions most likely to contain vulnerabilities. Scan sends ranked code to more than 100 expert agents, including injection, memory-safety, and auth-bypass auditors, with each agent focused on a specific vulnerability class. Validate combines taint analysis, type resolution through Language Server Protocol servers, and multi-model agentic debate to refine confidence and reduce false positives. Dedup consolidates overlapping results into a final set of unique actionable findings.
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    Openlayer

    Openlayer

    Openlayer

    Openlayer is an enterprise AI governance platform that helps organizations discover, test, monitor, secure, and control AI systems from development through production. The platform brings AI evaluation, observability, governance, guardrails, compliance, gateway enforcement, and cost controls together in one place. Teams can evaluate LLMs, agents, RAG applications, and traditional ML systems using 175+ out-of-the-box evaluations across quality, safety, security, performance, cost, fairness, and compliance. In production, Openlayer provides end-to-end tracing and continuous monitoring of AI behavior, including prompts, responses, tool calls, agent workflows, latency, and cost. Real-time guardrails can detect and block issues such as prompt injection, jailbreak attempts, PII or PHI exposure, and other unsafe behavior before it reaches a model or end user. Openlayer Governance connects organizational AI policies to technical controls. Teams can maintain an AI inventory, assign own
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    Tragentics

    Tragentics

    Tragentics

    Tragentics is the AI agent security platform that authenticates every agent, injects keys from an encrypted Credential Vault so agents never hold them, routes every call through a content-blind relay, and records a metadata-only audit trail — across platforms and protocols. Tragentics runs no inference and executes no agent logic. It never reads or stores what your agents say. Every agent gets a permanent ID and an Ed25519 identity, keys are encrypted at rest with AES-256-GCM, and every call is authenticated, rate-limited, and recorded as metadata only — never payloads. Protocol-agnostic: it routes MCP, A2A, ACP, OpenAI, ANP, and DID traffic for the agents you already own.
    Starting Price: $39/month
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    DryRun Security

    DryRun Security

    DryRun Security

    DryRun Security brings AI Native SAST and Agentic Code Security to your code, so application security and dev teams can stop triaging noise and start fixing real risk. Our Contextual Security Analysis (CSA) engine reasons about code intent, exploitability, and impact to deliver high-signal findings that pattern-matching scanners miss. Use the Code Review Agent for PR comments and checks within moments of a push. Enforce guardrails with Natural Language Code Policies, written in plain English and executed by the Custom Policy Agent on every PR. Run DeepScan Agent for an on-demand full-repo assessment in about an hour, and use Code Insights Agent to see trends and risk across repos.
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    Clone Systems Penetration Testing
    Automated Penetration Testing from Clone Systems is a browser-based security testing service for teams that need to assess external and internal infrastructure, Active Directory, cloud environments, web applications, and supported APIs. Users define targets and exclusions in a portal, then launch production-safe attack playbooks that attempt to validate whether weaknesses are exploitable. Findings include severity and exploit evidence, remediation guidance, and mapping to MITRE ATT&CK; teams can rerun tests after fixes during the 30-day testing window. Reports provide an executive summary and technical details for security and compliance workflows, including PCI DSS 4.0.1, HIPAA, SOC 2, and ISO 27001. Clone Systems also offers separately scoped, engineer-led penetration testing for engagements requiring human-led assessment.
    Starting Price: $1,995 one-time
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    Noma

    Noma

    Noma Security

    Noma Security is the complete enterprise AI security platform designed to deliver confidence in agentic AI at scale. Noma Security was named a Gartner Cool Vendors in AI Security, 2025 for delivering deep visibility and AI discovery, agentic risk mapping, security posture management, automated AI red teaming, and AI runtime protection all in one platform. With seamless integration to your AI stack and workflows, and alignment with regulatory compliance frameworks, Noma Security helps teams embrace AI innovation while addressing the unique threats posed by rapid enterprise AI adoption.
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    ZenGuard AI

    ZenGuard AI

    ZenGuard AI

    ZenGuard AI is a security platform designed to protect AI-driven customer experience agents from potential threats, ensuring they operate safely and effectively. Developed by experts from leading tech companies like Google, Meta, and Amazon, ZenGuard provides low-latency security guardrails that mitigate risks associated with large language model-based AI agents. Safeguards AI agents against prompt injection attacks by detecting and neutralizing manipulation attempts, ensuring secure LLM operation. Identifies and manages sensitive information to prevent data leaks and ensure compliance with privacy regulations. Enforces content policies by restricting AI agents from discussing prohibited subjects, maintaining brand integrity and user safety. The platform also provides a user-friendly interface for policy configuration, enabling real-time updates to security settings.
    Starting Price: $20 per month
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    Rilevera

    Rilevera

    Rilevera

    Rilevera is an AI Detection Engineer that continuously validates, improves, and manages detections across SIEM, EDR, and data platforms so security teams can focus on stopping real threats instead of chasing broken rules. It validates detection logic, telemetry dependencies, and schema integrity across platforms, immediately identifying when a rule breaks or required data disappears. AI-driven detection optimization analyzes performance data, false-positive trends, overlap, and logic quality to recommend improvements and push validated updates back into execution platforms. Coverage and Gap Analysis maps detections and telemetry to MITRE techniques and threat actors, helping teams identify blind spots and prioritize new rule development. Structured workflows for design, validation, peer review, and controlled deployment bring discipline and speed to the detection lifecycle. Rilevera continuously analyzes detection performance to improve signal quality, reduce alert fatigue, etc.
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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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    NeuralTrust

    NeuralTrust

    NeuralTrust

    NeuralTrust is the leading platform for securing and scaling LLM applications and agents. It provides the fastest open-source AI gateway in the market for zero-trust security and seamless tool connectivity, along with automated red teaming to detect vulnerabilities and hallucinations before they become a risk. Key Features: - TrustGate: The fastest open-source AI gateway, enabling enterprises to scale LLMs and agents with zero-trust security, advanced traffic management, and seamless app integration. - TrustTest: A comprehensive adversarial and functional testing framework that detects vulnerabilities, jailbreaks, and hallucinations, ensuring LLM security and reliability. - TrustLens: A real-time AI observability and monitoring tool that provides deep insights and analytics into LLM behavior.
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    SydeLabs

    SydeLabs

    SydeLabs

    With SydeLabs you can preempt vulnerabilities and get real-time protection against attacks and abuse while staying compliant. The lack of a defined approach to identify and address vulnerabilities within AI systems impacts the secure deployment of models. The absence of real-time protection measures leaves AI deployments susceptible to the dynamic landscape of emerging threats. An evolving regulatory landscape around AI usage leaves room for non-compliance and poses a risk to business continuity. Block every attack, prevent abuse, and stay compliant. At SydeLabs we have a comprehensive solution suite for all your needs around AI security and risk management. Obtain a comprehensive understanding of vulnerabilities in your AI systems through ongoing automated red teaming and ad-hoc assessments. Utilize real-time threat scores to proactively prevent attacks and abuses spanning multiple categories, establishing a robust defense against your AI systems.
    Starting Price: $1,099 per month
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    Tenable One AI Exposure
    Tenable One AI Exposure is an agentless, enterprise-grade solution embedded within the Tenable One exposure management platform that provides visibility, context, and control over how teams use generative AI tools like ChatGPT Enterprise and Microsoft Copilot. It enables organizations to monitor user interactions with AI platforms, including who is using them, what data is involved, and how workflows are executed, while detecting and remediating risks such as misconfigurations, unsafe integrations, and exposure of sensitive information (like PII, PCI, or proprietary enterprise data). It also defends against prompt injections, jailbreak attempts, policy violations, and other advanced threats by enforcing security guardrails without disrupting operations. Supported across major AI platforms and deployed in minutes with no downtime, Tenable AI Exposure helps organizations govern AI usage as a core part of their cyber risk strategy.
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    RidgeBot

    RidgeBot

    Ridge Security

    Fully automated penetration testing that discovers and flags validated risks for remediation by SOC teams. RidgeBot® is a tireless software robot, it can run security validation tasks every month, every week or every day with a historical trending report provided. Provides a continuous peace of mind for our customers. Evaluate the effectiveness of your security policies by running emulation tests that follow mitre Attack framework. RidgeBot® botlet simulates the behavior of malicious software or downloads malware signatures to validate the security controls of the target endpoints. RidgeBot® botlet simulates the unauthorized movement of data from your server—for example, personal data, financial, confidential, software source codes, and more.