AI agentsNew identities, permissions and tool chains to govern
Enterprises need visibility into non-human identities, delegated permissions, agent actions and data access—not just user logins.
KAVELYTH is being developed as a unified security operations layer connecting AI-agent governance, threat intelligence, endpoint signals and human-approved response across DETECT · PREVENT · RECOVER.
Enterprises need visibility into non-human identities, delegated permissions, agent actions and data access—not just user logins.
AI systems introduce attack paths that conventional endpoint and network controls may not fully describe.
Security teams need contextual triage and safe response workflows, with human approval for high-impact actions.
Connects agent governance, SOC triage, approval and recovery rather than presenting disconnected alert panels.
High-impact actions require explicit authorization; recommendations are not silently executed.
Every risk decision should expose source signals, reasoning, confidence, owner and review history.
Planned connectors for endpoint security, identity providers, cloud audit, SIEM and ticketing systems; no integration is claimed complete unless tested.
Proposed 30–60 day pilot, subject to a signed scope, privacy review and technical access approvals.
MTTD · MTTR · alert precision · false-positive rate · analyst minutes per case · agent inventory coverage · least-privilege coverage · approval latency · evidence completeness.
All values start as “not yet measured”. No synthetic demo number may be presented as customer traction or validated security performance.
These programs may provide cloud credits, technical support or go-to-market access. Credits are not cash investment and admission is not guaranteed.
Strategic target categories: cloud/security platform providers, EDR/XDR vendors, identity and access-management providers, SIEM/SOC platforms, AI infrastructure providers, cybersecurity accelerators and specialist seed investors.
The local-only Agent Telemetry Lab demonstrates synthetic event normalization. A separate Windows PowerShell agent prototype supports consent-gated, read-only local metadata collection and synthetic self-test. It is not connected to a live ingest API and has not yet passed execution testing on a Windows host.
Scoped integration prototype, threat scenario workshop, architecture review and documented compatibility gaps.
Jointly defined AI-agent security use cases, controlled demo and a roadmap based on validated customer needs.
Optional co-selling or marketplace readiness assessment after product, legal, security and support maturity gates are met.