Services
AI Red Team & Adversarial Testing
Test AI systems the way attackers, abusive users, and determined enterprise reviewers will.
Specialized AI security testing for AI-enabled products, agents, copilots, RAG systems, and automation workflows. Focuses on realistic misuse, prompt injection, data exposure, jailbreak pathways, tool abuse, unsafe autonomy, cross-tenant leakage, and control bypasses.
Best for
CISO, Product Security, Red Team, AI Engineering Lead
Engagement model
assessment
Duration
3-6 weeks
Deliverables
4 deliverables
What it covers
Prompt injection, jailbreak, and policy bypass testing
RAG data exposure and authorization abuse testing
Tool/function abuse and excessive agency testing
Exploit narratives, remediation guidance, and retest plan
Use when
Related people
David Wolf
Builds operating models, controls, detection, and evidence layers for enterprise AI adoption.
Alex Eisen
Leads vulnerability research, incident response, product security, and AI risk management work.
Alex Karoulias
Engineering student at Athens Technical University, Class of 2027
Tim Kerimbekov
Turns cyber risk into practical security decisions.
Related proof
Start here
Scope this review through discovery, then translate the result into engineering work, buyer-ready evidence, or a follow-on engagement.
Canonical route: /services/ai-red-team-adversarial-testing