AI/LLM/ML Security

Artificial intelligence has expanded your attack surface in ways that traditional penetration testing frameworks were not designed to address. Every LLM integration, GenAI application, and MLSecOps pipeline you deploy introduces a new class of vulnerability, one that conventional scanners cannot detect and that most offensive security teams are not equipped to test.

Evaluris conducts adversarial assessments of AI systems aligned to OWASP Top 10 for LLM Applications, OWASP ML Security Top 10, and the MITRE ATLAS adversarial machine learning threat matrix. Our operators have published research on system prompt poisoning, autonomous APT frameworks, and AI-driven malware polymorphism, not theoretical knowledge, but active research informing every engagement.

AI systems require a fundamentally different adversarial mindset. Conventional red team techniques do not address the attack surfaces introduced by large language models, autonomous AI agents, LLM-integrated business applications, and GenAI-powered security tooling.

Evaluris AI Red Teaming evaluates the resilience of your AI infrastructure against adversarial actors who understand how these systems reason, where their guardrails fail, and how to manipulate them at scale. Our operators have published original research on system prompt poisoning, agentic attack orchestration, and autonomous APT frameworks, applied directly to every engagement.

Every AI system you deploy needs a risk owner, a control framework, and an answer ready for the EU AI Act, not just a red team report.

We build AI governance programs that make the EU AI Act, ISO/IEC 42001, and the NIST AI Risk Management Framework operational rather than aspirational: risk classification, model inventories, human oversight controls, and audit-ready documentation for every AI system in production.

Every AI agent your org spins up is a new identity with access nobody's tracking. We find them and govern them before something else does.

Agentic AI is creating non-human identities faster than any IAM stack was built to handle: API keys, OAuth scopes, service accounts, autonomous agents acting on your data. We audit what's out there, build lifecycle controls for it, and bring it under governance. Powered by the same framework behind Verant.