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Secure: Keep Your AI Estate Protected. Always.

Automated red-teaming and system-level security checks for AI applications, aligned with OWASP, MITRE ATLAS, and the frameworks your governance teams require.

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Pain Points

New Technology, New Security Threats

Security teams are not yet equipped to assess the attack surfaces that AI systems introduce.

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AI Systems Are Exposed to Novel Attack Vectors

AI-specific risks like prompt injection, data leakage, unauthorized actions, and privilege abuse are not caught by traditional security tools.

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AI Security Frameworks Require Evidence

The EU AI Act, NIST, OWASP Top 10, and MITRE ATLAS require technical evaluations - without them compliance is difficult to prove and hard to repeat.

Product Features

Security Evaluations Built for AI Systems

Red-teaming, system-level checks, and framework-aligned results in one repeatable package.

Agent-Based Red-Teaming

An adaptive red-teaming agent probes your AI system across multiple attack strategies.

  • Adaptive Attacks: The agent interacts with the system, observes outputs, and evolves its approach to surface vulnerabilities that static benchmarks miss.
  • High-Value Risk Focus: Coverage targets data leakage, unauthorized actions, privilege abuse, goal hijacking, and denial-of-wallet.
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System-Level Security Checks

Beyond the observable system behavior, Secure checks whether your system is configured correctly for security.

  • Configuration Checks: Identify permission gaps, missing auth controls, and misconfigured access before deployment.
  • Human Oversight Verification: Confirm that approval gates exist where required by policy or regulation.
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Framework-Aligned Results

All results generated by Secure are mapped to relevant frameworks like OWASP, MITRE Atlas, EU AI Act and NIST.

  • Always up-to-date: The list of covered frameworks is constantly updated and expanded.
  • Governance-Ready Evidence: Results link to specific framework controls, making compliance evidence straightforward to produce.
Security results mapped to framework screenshot
How It Works

Expand Your Evaluation Coverage to Security

Secure is our specialized solution for governance-aligned security evaluations.

  1. 1Use Atlas to identify relevant security frameworks and evaluations for your use case
  2. 2Run system checks and adaptive red-teaming with Secure
  3. 3Review findings with interpretable risk scores and full evidence packages
  4. 4Surface results in Govern for compliance dashboards and continuous oversight
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Frequently Asked Questions

AI Secure is a security evaluation product for AI systems. It combines agent-based red-teaming with system-level configuration checks to surface vulnerabilities in AI applications before and after deployment.
Secure focuses on the highest-value AI security risks: data leakage, unauthorized actions, privilege abuse, goal hijacking and prompt injection, and denial-of-wallet attacks. Coverage is aligned with state-of-the-art security frameworks like OWASP Top 10 for LLMs and MITRE ATLAS.
Agent-based red-teaming uses an adaptive attack agent that interacts with your AI system, observes its outputs, and evolves its approach across multiple attempts. This is more thorough than running a static benchmark, because the agent adapts based on what it finds.
Traditional red-teaming engagements are manual, expensive, and hard to repeat. Secure automates the process, aligns results with recognized frameworks, and produces repeatable evaluation packages that can be re-run as systems evolve.
Secure aligns with OWASP Top 10 for LLMs, MITRE ATLAS, and other relevant AI security standards. Framework mappings are managed through Atlas, the same registry used across the LatticeFlow AI platform. Coverage is continuously updated and expanded as the AI security landscape evolves.
Atlas packages the security evaluations and framework mappings. Discover provides system context that enables more targeted attacks. Govern surfaces interpreted results in compliance dashboards. Security evaluations run through the same execution engine as Evaluate.
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Evaluate Your AI Systems for Security Risk

Give security and AI teams the tools to find vulnerabilities, produce compliance evidence, and re-run evaluations as systems change.

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