Security & Forensics for Autonomous Agents.
Zero-trust verification for non-deterministic workloads. We audit your agentic infrastructure to ensure that autonomy doesn't become a liability.
Design Partner Program
Limited security & forensics engagements (EU/US). Red/blue teaming, prompt injection testing, zero-trust RBAC, and replay-driven forensics.
The Hardening
Agents introduce new attack vectors—from prompt injection to unauthorized tool use. Our security review hardens your perimeter against these emerging threats.
Prompt Injection Audits
We stress-test your agents with adversarial inputs to identify vulnerabilities where LLMs might be coerced into bypassing safety guardrails or executing unauthorized commands.
Data Leakage Analysis
We verify context boundaries to ensure that agents handling sensitive data do not inadvertently expose it across sessions or to unauthorized downstream services.
Access Control Review
We audit the RBAC (Role-Based Access Control) policies of your agents, ensuring they operate with the principle of least privilege when accessing tools and APIs.
Compliance Ready
Our audit reports are designed to satisfy the rigorous requirements of enterprise compliance frameworks.
- SOC 2 Type II
- Control mapping for AI/ML specific criteria.
- GDPR / CCPA
- Data minimization and right-to-forget verification for vector stores.
- HIPAA
- PHI handling and sanitization checks for healthcare agents.
- NIST AI RMF
- Alignment with the AI Risk Management Framework 1.0.
Common Threat Vectors
We test against the OWASP Top 10 for LLMs and beyond.
We use a combination of static analysis and dynamic red-teaming to attempt 'jailbreaks' that could override your system instructions. We then recommend specific prompt hardening techniques and input validation layers.
If your agents have access to code interpreters or shell tools, the risk is high. We audit the sandboxing environment (e.g., gVisor, Firecracker) to ensure that even if an agent is compromised, the blast radius is contained.
Vector stores are often overlooked. We check if raw PII is being embedded and indexed. We recommend PII redaction pipelines before embedding and strict access controls on the retrieval layer.
Yes. Agents can be expensive. We simulate resource exhaustion attacks where malicious actors force agents into expensive loops or high-token consumption patterns to drain your API credits.
Secure your agents.
Don't let non-deterministic behavior compromise your security posture.