AI & Agentic Security Testing for LLM Apps, Agents & MCP
Security testing for LLM applications, AI agents, MCP and agentic systems, autonomous workflows, and AI APIs—including prompt injection, tool abuse, unsafe automation, and data exposure.
What we test
We assess LLM applications, AI agents and tool calling, MCP and agentic systems, autonomous workflows, direct and indirect prompt injection paths, sensitive data exposure, unsafe automation logic, and AI API abuse paths and authorization when access is provided for the engagement.
Beyond prompt injection
Authorization outside the model, what an agent or MCP tool chain can reach, and abuse paths versus model behavior matter as much as jailbreaks or prompt tricks. Findings stay engineering-ready and shaped for procurement and buyer AI reviews, not model-lab trivia alone.
Deliverables
Deliverables include exploit-validated findings with proof-of-concept evidence, engineering-ready remediation guidance, retest validation after fixes, and procurement-ready reporting under a CREST-aligned methodology for AI, MCP, and agentic system scope on this program. Our testers hold OSCP and CREST certifications.
Governance tie-in
Reports are shaped for procurement teams and audits. Governance programs and ISO 42001 readiness sit under year-round compliance operations described on the /soc-2 service page. DeepScan is CyberImmune’s AI-assisted pentesting product, sold and delivered by CyberImmune, and can sit beside this testing when you want it in scope.
Scoping
When access is provided for the engagement, tool abuse and authorization outside the model are in scope for agents, MCP servers, and related API paths.
Common questions
