Let's Talk About Your AI Assurance Needs
The AEVA MVP is operational today, with core assurance capabilities validated and deployment-ready. Talk to us about deploying it for your AI systems, or about what's next on the roadmap.
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Frequently Asked Questions
Answers to what people ask us most about AEVA, AI Forensics, Threat Hunting and Model MRI.
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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.