Gliard is a professional-grade security auditor
with deep analysis for Python agents
and universal adversary simulation via HTTP.
Gliard audits the unique threat surface of autonomous AI. We analyze not just code, but behavior, permissions, and regulatory alignment.
20 specialized scanners with deep logic analysis for Python agents. Rule-based, reproducible results without any LLM guessing involved.
Automated red teaming verifies real exploits via direct subprocess simulation. Proof-of-concept traces for every finding.
Native mapping to EU AI Act (Articles 9, 10, 13, 14) and OWASP Top 10 for LLMs. Audit-ready reports out of the box.
Board-ready PDF reports with technical deep-dives, remediation strategy guides, and high-level risk assessments.
Supply chain vulnerability scanning via the Open Source Vulnerabilities database. Catch dependency risks before deployment.
Every finding comes with step-by-step remediation instructions for technical teams. You receive not just a score, but a clear path forward.
Gliard implements 20+ deterministic scanners specifically tuned for the agentic threat surface.
The Adversary Engine doesn't just detect vulnerabilities. It verifies them. Gliard simulates real-world attack vectors and delivers exploit traces your team can act on.
Gliard automatically maps findings to EU AI Act requirements. Your compliance documentation will be ready when regulators ask.
Everything you need to secure your AI agents in one unified package. Includes the Core framework, Guard logic scanners, and Sentinel adversary engine.