Targeted AI Red-Team Assessment

‍Engagement Overview: Our Agentic Red Teaming assessment targets the unique attack surface of high-agency AI. We deploy autonomous adversaries to run multi-turn, bespoke attacks against your application, identifying real-world exploit paths fully mapped to the OWASP Top 10 for LLMs and Agentic Applications.

‍

Examples we specifically test for:

• Multi-Turn Prompt Injections (LLM01): Break the agent's intent.
• Excessive Agency & Chained Exploits (LLM08/07): Chain tool calls.
• Data Exfiltration (LLM06): Manipulating agent memory.
• Agent Goal Hijack (ASI01): Redirect an agent from its intended scope or task
• Unexpected Code Execution (ASI05): Generating or running unsafe code 
• & more

Your Deliverables (Zero Heavy Lifting Required):

• Executive & Technical Summary: A prioritized breakdown of your risk surface.
• Reproducible Exploit Paths: Proof of how the agent's boundaries were bypassed.
• Actionable Remediation: Concrete guidance.