Alternatives to ZeroTrusted.ai
Compare ZeroTrusted.ai alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to ZeroTrusted.ai in 2026. Compare features, ratings, user reviews, pricing, and more from ZeroTrusted.ai competitors and alternatives in order to make an informed decision for your business.
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cside
cside
cside is the leading client-side intelligence platform. Protecting organizations from advanced client-side threats such as script injection, data skimming, and browser-based attacks, risks often overlooked by traditional security measures. Leveraging client-side intelligence to provide evidence to fight chargeback fraud cases. It also addresses the growing challenge of web supply chain risk, ensuring real-time visibility and control over third-party scripts running in user environments. cside provides proactive protection that helps organizations meet compliance requirements like PCI DSS 4.0.1, safeguard sensitive data, and uphold user privacy, all without compromising performance. -
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WebOrion Protector Plus
cloudsineAI
WebOrion Protector Plus is a GPU-powered GenAI firewall engineered to provide mission-critical protection for generative AI applications. It offers real-time defenses against evolving threats such as prompt injection attacks, sensitive data leakage, and content hallucinations. Key features include prompt injection attack protection, safeguarding intellectual property and personally identifiable information (PII) from exposure, content moderation and validation to ensure accurate and on-topic LLM responses, and user input rate limiting to mitigate risks of security vulnerability exploitation and unbounded consumption. At the core of its capabilities is ShieldPrompt, a multi-layered defense system that utilizes context evaluation through LLM analysis of user prompts, canary checks by embedding fake prompts to detect potential data leaks, pand revention of jailbreaks using Byte Pair Encoding (BPE) tokenization with adaptive dropout. -
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ZeroLeaks
ZeroLeaks
ZeroLeaks is an AI prompt security platform that helps organizations identify and fix exposed system prompts, internal tools, and logic vulnerabilities that could allow prompt injection, prompt extraction, or other forms of leakage that expose internal instructions or intellectual property to unauthorized actors. It provides an interactive dashboard where users can scan system prompts manually or automate scanning via CI/CD integration to catch leaks and injection vectors before code is deployed, and it uses an AI-powered red-team-style analysis engine to assess prompt surfaces for logic flaws, extraction risks, and potential misuse with evidence, scoring, and remediation recommendations. ZeroLeaks targets enterprise-grade security for large-language-model-based products by offering vulnerability assessments that highlight prompt exposure depth, prioritized risks, proof, and access paths for issues found, and suggested fixes such as prompt restructuring, tool gating, etc.Starting Price: $499 per month -
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LLM Guard
LLM Guard
By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, LLM Guard ensures that your interactions with LLMs remain safe and secure. LLM Guard is designed for easy integration and deployment in production environments. While it's ready to use out-of-the-box, please be informed that we're constantly improving and updating the repository. Base functionality requires a limited number of libraries, as you explore more advanced features, necessary libraries will be automatically installed. We are committed to a transparent development process and highly appreciate any contributions. Whether you are helping us fix bugs, propose new features, improve our documentation, or spread the word, we would love to have you as part of our community.Starting Price: Free -
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Vannevar Decrypt
Vannevar Labs
VANNEVAR LABS combines top software engineering talent with decades of mission experience to get state of the art technology to the people that keep us safe. Decrypt decentralizes global collection to pull public data from difficult- to-access, high-leverage sources. Our ensemble approach to translation uses best-in-class organic and third-party natural language processing models to ensure that all sources are translated accurately and immediately. Flexible user queries quickly surface mission-relevant data to share, exploit, and distribute. Decrypt manages all attribution for users. Data is collected once by our layered obfuscation methods so endpoints are never touched by users. Decrypt was built on open architecture that enables rapid integration with other government and commercial applications. -
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MCP Defender
MCP Defender
MCP Defender is an open source desktop application that functions as an AI firewall, designed to monitor and protect Model Context Protocol (MCP) communications. It acts as a secure proxy between AI applications and MCP servers, analyzing all communications for potential threats in real-time. It automatically scans and protects all MCP tool calls, providing advanced LLM-powered detection of malicious activity. Users can manage the signatures used during scanning, allowing for customizable security measures. MCP Defender identifies and blocks common AI security threats, including prompt injection, credential theft, arbitrary code execution, and remote command injection. It supports integration with various AI applications such as Cursor, Claude, Visual Studio Code, and Windsurf, with more applications to be supported in the future. It offers intelligent threat detection, alerting users as soon as it identifies any malicious activity being performed by AI apps.Starting Price: Free -
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Enkrypt AI
Enkrypt AI
Enkrypt AI is an enterprise AI security, compliance, and governance platform purpose-built to secure LLMs, AI agents, multimodal systems, and MCP workflows. Serving enterprises in finance, healthcare, insurance, and government, Enkrypt AI helps organizations ship fast, ship safe, and stay ahead. The platform covers the full AI security lifecycle: Guardrails: Ultra-low latency (sub-50ms) policy-based guardrails prevent prompt injection, sensitive data exposure, unsafe outputs, and non-compliant agent behavior in real time. Red Teaming: Policy-driven, multimodal attack simulation across LLMs and AI agents before deployment. MCP Security: MCP Scan Hub and Secure MCP Gateway protect MCP servers, tools, and agent toolchains end-to-end. Compliance: Continuous monitoring against NIST AI RMF, OWASP LLM Top 10, EU AI Act, HIPAA, and FINRA. ISO 27001 & SOC 2 Type II certified. Gartner Cool Vendor 2025. -
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ARTEMIS by Repello
Repello AI
ARTEMIS by Repello AI hunts for vulnerabilities in your AI applications by simulating attacks that malicious actors would use. ARTEMIS tests, identifies, and helps remediate security risks before they can be exploited in production environments. This is powered by world's largest AI-specific threat intelligence repositories. Key Features: 1. Simulates real-world attacks against your AI systems 2. Maps vulnerabilities across your AI infrastructure 3. Provides actionable mitigation recommendations 4. Adapts to evolving threats as your AI applications grow Built by security engineers to protect AI from attackers. Secure your AI early in development and throughout deployment. -
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Tumeryk
Tumeryk
Tumeryk Inc. specializes in advanced generative AI security solutions, offering tools like the AI trust score for real-time monitoring, risk management, and compliance. Our platform empowers organizations to secure AI systems, ensuring reliable, trustworthy, and policy-aligned deployments. The AI Trust Score quantifies the risk of using generative AI systems, enabling compliance with regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates and scores the trustworthiness of generated prompt responses, accounting for risks including bias, jailbreak propensity, off-topic responses, toxicity, Personally Identifiable Information (PII) data leakage, and hallucinations. It can be integrated into business processes to help determine whether content should be accepted, flagged, or blocked, thus allowing organizations to mitigate risks associated with AI-generated content. -
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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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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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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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CrowdStrike Falcon AIDR
CrowdStrike
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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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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Tenable One AI Exposure
Tenable
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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Adversa AI
Adversa AI
We help you enable AI transformation by protecting it from cyber threats, privacy issues, and safety incidents. We help you understand how cybercriminals could exploit AI applications based on information about your AI models, data, and environment. We help you test your AI application resilience with scenario-based attack simulation by a motivated threat actor with advanced capabilities. We help you audit your AI application integrity with a comprehensive analysis based on robustness-focused stress testing methodology. We’ve developed a new attack on AI-driven facial recognition systems, due to this attack, an AI system will recognize you as a different person. -
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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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Verax
Verax AI
Verax offers a comprehensive platform to gain full visibility and control over large language models (LLMs) in production, addressing critical risks like hallucinations, data leakage, and biased outputs. Their Control Center provides real-time detection and automatic remediation to ensure AI models behave responsibly and safely. Verax Explore delivers deep insights into LLM behavior, enabling organizations to analyze user interactions and optimize model quality continuously. Verax Protect, coming soon, focuses on preventing data leakage and maintaining regulatory compliance by controlling access to sensitive information. The platform targets enterprise IT, data science, and innovation leaders who need reliable LLM monitoring to reduce risks and improve deployment success. Verax also educates users through its blog and actively supports AI trust and safety. -
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ZeusLock
ZeusLock
ZeusLock is an AI-focused Data Loss Prevention (DLP) solution that protects organizations from sensitive data exposure when using generative AI platforms. It analyzes AI interactions in real time to detect, block, or anonymize sensitive information before it leaves the company environment. ZeusLock secures AI services such as ChatGPT, Claude, Gemini, Copilot, and Grok while defending against threats like prompt injection attacks and jailbreak attempts. The platform offers customizable detection policies, alert and blocking modes, incident monitoring, compliance reporting, and API integrations. Available as a SaaS B2B solution or deployed on-premise for organizations with advanced security, privacy, and sovereignty requirements, ZeusLock adapts to different enterprise environments. It protects AI usage across browsers, desktop applications, IDEs, CLI environments, and AI agents on Windows, macOS, and Linux. Powered by a European detection engine, ZeusLock detects sensitive data. -
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Neysa Aegis
Neysa
From thwarting model poisoning to preserving data integrity, Aegis ensures that your AI models are shielded by default, empowering you to deploy your AI/ML projects in the cloud or on-premise, confident that your security posture is protecting you against an evolving threat landscape. Unsecured AI/ML tools broaden attack surfaces, amplifying enterprise vulnerability to security breaches without vigilant oversight by security teams. Suboptimal AI/ML security posture risks data breaches, downtime, profit losses, reputational damage, and credential theft. Vulnerable AI/ML frameworks jeopardize data science initiatives, risking breaches, intellectual property theft, supply chain attacks, and data manipulation. Aegis uses an ensemble of specialized tools and AI models to analyse data from your AI/ML landscape, as well as external data sources. -
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iDox.ai Guardrail
iDox.ai
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 enforcementStarting Price: $9/device/month -
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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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Sophos Intercept X Endpoint
Sophos
Take threat hunting and IT security operations to the next level with powerful querying and remote response capabilities. Ransomware file protection, automatic file recovery, and behavioral analysis to stop ransomware and boot record attacks. Deep Learning Technology Artificial intelligence built into Intercept X that detects both known and unknown malware without relying on signatures. Deny attackers by blocking the exploits and techniques used to distribute malware, steal credentials, and escape detection. Elite team of threat hunters and response experts who take targeted actions on your behalf to neutralize even the most sophisticated threats. Active adversary mitigation prevents persistence on machines, credential theft protection, and malicious traffic detection.Starting Price: $28 per user per year -
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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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Blue Hexagon
Blue Hexagon
We’ve designed our real-time deep learning platform to deliver speed of detection, efficacy and coverage that sets a new standard for cyber defense. We train our neural networks with global threat data that we’ve curated carefully via threat repositories, dark web, our deployments and from partners. Just like layers of neural networks can recognize your image in photos, our proprietary architecture of neural networks can identify threats in both payloads and headers. Every day, Blue Hexagon Labs validates the accuracy of our models with new threats in the wild. Our neural networks can identify a wide range of threats — file and fileless malware, exploits, C2 communications, malicious domains across Windows, Android, Linux platforms. Deep learning is a subset of machine learning that uses multi-layered artificial neural networks to learn data representation. -
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Constellation Gate AI
Constellation Gate AI
Constellation Gate AI is a drop-in defense layer for AI agents, built to sit between the agent and the model while screening every request for attacks and leaks. Gate acts as an inline gateway for coding agents and model APIs, protecting workflows without requiring major code changes. Users can point existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode at Gate and inherit prompt-injection defense, secret scanning, PII redaction, token optimization, and a verifiable audit trail. The platform is designed around three real risks: prompt injection, credential and PII leakage, and hijacked tool calls. Instead of relying on the model to defend itself, Gate blocks attacks before they reach the model, redacts secrets before responses return, and stops attacker-controlled tool outputs before an agent acts on them. Gate accepts the same calls an agent already makes, forwards them to the model, scans every call and response in both directions. -
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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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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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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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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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GPT‑5.4‑Cyber
OpenAI
GPT-5.4-Cyber is a specialized, cyber-permissive variant of GPT-5.4 designed specifically to support defensive cybersecurity workflows, enabling security professionals to analyze, detect, and remediate vulnerabilities more effectively. It is fine-tuned to lower the refusal boundary for legitimate security tasks, allowing deeper engagement with activities such as vulnerability research, exploit analysis, and secure code evaluation that are typically restricted in general-purpose models. A key capability includes binary reverse engineering, which allows the model to analyze compiled software without access to source code to identify malware potential, weaknesses, and overall system robustness. Integrated within OpenAI’s Trusted Access for Cyber (TAC) program, the model is distributed through a tiered access system that requires identity verification and progressive trust levels, ensuring that only vetted defenders, researchers, and organizations can access its most advanced features.Starting Price: Free -
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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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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.Starting Price: $0 -
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Wardstone
JRL Software LTD
Wardstone is an LLM security API that sits between applications and language model providers, scanning inputs and outputs for threats across four categories in a single call: prompt attacks, content violations, data leakage, and unknown links. It detects jailbreaks, prompt injections, harmful content (hate, violence, self-harm), PII (SSNs, credit cards, emails, phone numbers), and suspicious URLs. Each response returns risk bands per category with sub-30ms latency. Works with any LLM provider. REST API with SDKs for TypeScript, Python, Go, Ruby, PHP, Java, and C#. Free tier at 10,000 calls/month, no credit card required. Includes a browser-based playground for testing.Starting Price: $0/month -
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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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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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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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SandboxAQ
SandboxAQ
The emergence of large, fault-tolerant quantum computers poses a significant threat to current public-key cryptography, leaving sensitive data and systems vulnerable to attacks. SandboxAQ was selected by the NIST's National Cybersecurity Center of Excellence for its Migration to Post-Quantum Cryptography project, which partners with industry to help the government develop best practices to transition from current public-key cryptography to post-quantum cryptography algorithms. Easily adhere to new cryptographic requirements and switch between them without requiring additional development or maintenance. Application Analyzer detects and records all calls to cryptographic libraries made by an application at run time, identifying vulnerabilities and policy breaches. -
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CrowdStrike Charlotte AI
CrowdStrike
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. -
40
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. -
41
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. -
42
Varonis Data Security Platform
Varonis
The most powerful way to find, monitor, and protect sensitive data at scale. Rapidly reduce risk, detect abnormal behavior, and prove compliance with the all-in-one data security platform that won’t slow you down. A platform, a team, and a plan that give you every possible advantage. Classification, access governance and behavioral analytics combine to lock down data, stop threats, and take the pain out of compliance. We bring you a proven methodology to monitor, protect, and manage your data informed by thousands of successful rollouts. Hundreds of elite security pros build advanced threat models, update policies, and assist with incidents, freeing you to focus on other priorities. -
43
WhyLabs
WhyLabs
Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks. -
44
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. -
45
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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Proofpoint AI Security
Proofpoint
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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Heeler
Heeler
Heeler is an application security platform that helps development and security teams automate the detection, prioritization, and remediation of open source and application risks by unifying contextual data from code, runtime, deployment, dependencies, and business logic into a single actionable model. It combines static and runtime analysis, software composition analysis, threat modeling, and secrets scanning with a context engine that maps how code runs in production, enabling real-time threat prioritization based on exploitability and business impact rather than raw vulnerability counts. Heeler automatically generates validated remediation guidance and can even produce merge-ready pull requests to upgrade libraries or fix issues, reducing manual research and accelerating fixes. It provides end-to-end visibility across the software development lifecycle, tracking vulnerabilities from identification through resolution and monitoring fixes across deployments.Starting Price: $250 per developer -
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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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CardinalOps
CardinalOps
The CardinalOps platform is an AI-powered threat exposure management solution designed to provide organizations with an integrated view of prevention and detection controls across endpoint, cloud, identity, network, and more. It aggregates findings from misconfigurations, unsecured internet-facing workloads, missing hardening controls, and gaps in detection or prevention to give full visibility of exposures and prioritize actions based on business context and adversary tactics. The system continuously maps detections and controls to the MITRE ATT&CK framework to assess coverage depth and identify broken, noisy, or missing detection rules, while also generating deployment-ready detection content customized to each environment via native API integration with major SIEM/XDR tools such as Splunk, Microsoft Sentinel, IBM QRadar, and others. Through its automation and threat intelligence operationalization features, it helps security teams remediate exposure faster. -
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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