The Next Frontier of Cybersecurity Is AI Itself
We're building the infrastructure for AI assurance, model security, forensics and threat hunting — extending cybersecurity validation into systems that increasingly reason, decide and act on their own.
- Built for AI systems — models, agents, RAG pipelines and MCP servers
- Evidence, not assumptions — defensible proof behind every risk decision
- Validation heritage — breach & attack simulation DNA, applied to AI
Built for AI Systems
Models, agents, RAG pipelines and MCP servers — not just infrastructure.
Evidence, Not Assumptions
Defensible technical proof behind every deployment and risk decision.
Validation Heritage
Breach & attack simulation DNA, applied to AI.
Validation DNA, Extended Into AI
Cytomate's heritage is in emulation, validation and proving whether defenses work under realistic attack conditions. We are extending that validation DNA into artificial intelligence.
Breach & Attack Simulation
Security-Control Validation
Cyber Deception
IT Environments
OT & Critical Infrastructure
Adversarial Security Research
What We're Exploring Next
Research tracks that extend Cytomate's validation heritage into the systems that will increasingly reason, decide and act.
Model forensics
AI assurance
AI threat hunting
Model backdoor analysis
Agent & MCP security
AI supply-chain integrity
AI security-control validation
AI incident reconstruction
Sovereign AI assurance
Arabic & multilingual AI security
AI security for OT
Cyber-physical AI assurance
Frequently Asked Questions
Answers to what people ask us most about AEVA, AI Forensics, Threat Hunting and Model MRI.
Still Have Questions?
Our team is happy to walk you through AEVA, Model MRI or anything else.
Talk to CytomateCytomate builds AI assurance infrastructure — model security, forensics and threat hunting capabilities for the systems that increasingly reason, decide and act on their own.
AEVA — Artificial Intelligence Evidence, Validation & Assurance — is a closed-loop assurance lifecycle (Discover, Assess, Attack, Validate, Observe, Collect Evidence, Find, Remediate, Retest) for proving whether your AI systems behave as intended and whether the controls around them actually work.
AI Forensics reconstructs what already happened — prompts, retrieved context, agent and tool-call timelines — for post-incident investigation. AI Threat Hunting proactively looks for hidden threats, like behavior drift or poisoned context, before they become incidents.
No. Model MRI runs entirely black-box: a structured probe battery profiles model behavior, and Jensen-Shannon divergence between baseline and current response distributions quantifies drift. No access to weights, activations or internals is required.
Yes. The AEVA MVP is operational, with core capabilities — adversarial testing, RAG security assessment, automated evidence collection and audit-ready reporting — validated and deployment-ready. Enterprise automation and advanced governance capabilities are in active development. Talk to us about deploying AEVA for your AI systems.
Any organization deploying AI systems — models, agents, RAG pipelines or MCP servers — that needs defensible evidence for deployment and risk decisions, not just assumptions.
Talk to Cytomate directly or follow us on LinkedIn for updates as AEVA's capabilities continue to expand.