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Ship AI faster, without inheriting ungoverned risk.
Every deployment adds governance debt, and the review queue grows faster than the review capacity. Nexovern flips the model: capture what agents are told at the app layer, correlate it with what they do at the OS layer, and enforce boundaries in production - so teams move without ungoverned risk.
Speed versus control is a false choice, if the controls are runtime
My governance review queue is the slowest system in the company.
The velocity problemWeeks-long pre-deployment reviews for every agent change can't keep pace with modern shipping cadence, so teams route around them, creating shadow AI.
→ Runtime enforcement means a fast default path: deploy inside enforced boundaries, with evidence accumulating automatically.
Agent sprawl across legacy and modern stacks, nobody has the full picture.
The sprawl problemAgents land in CI/CD, support, ops, and business units simultaneously, across infrastructure generations. The architecture diagram is fiction within a quarter.
→ Map maintains a live inventory of every agent, copilot and MCP across the estate, discovered from real endpoint activity, old stack and new.
Production access for agents keeps me up at night more than any human account.
The access problemAgents act at machine speed with credentials humans provisioned. One bad action propagates before a human can react.
→ Per-agent blast-radius limits and kill switches bound the worst case, in milliseconds, not meetings.
Gartner says 40%+ of agentic projects will die by 2027, many on risk controls.
The portfolio problemProjects stall not because the AI doesn't work, but because nobody can answer the risk questions. Governance gaps kill roadmaps.
→ A standing control layer answers the risk questions once, and every project after ships against it.
Architecture for governed velocity
- Endpoint and gateway prompt capture at the app layer, correlated with OS-layer observation and enforcement, plus API and MCP gateway coverage for cloud agents, no framework lock-in.
- Boundaries as code policy expressed as enforceable configuration, versioned like everything else.
- Dev velocity preserved controls move from gate-before-deploy to guardrails-in-production.
- Stack-wide coverage one security layer across every agent, MCP and endpoint, on-device and in the cloud.
- Deploy your way SaaS on Nexovern Cloud or on-premises behind your firewalls, with migration between them. Your data stays where your policy says it should.
- <2% CPU, <50ms latency the sensor is designed to be invisible to users and cooperative with your EDR and SASE stack, no kernel conflicts.
- Windows, Linux, macOS and Kubernetes one sensor across every endpoint and container environment you run agents on.
Your first 30 days
The engagement is structured to produce a defensible result at each stage, starting with the question every framework asks first: what do you actually have running?
Days 0–5 · Discover
Runtime discovery across your estate. Output: a complete, risk-classified inventory of every agent in production, including the ones nobody registered.
Days 6–15 · Evidence
System-level telemetry live on your priority agents. Output: your first full incident-grade reconstruction, plus a gap report against the frameworks you answer to.
Days 16–30 · Enforce
Your highest-priority policies compiled into runtime gates, approval checkpoints, blast-radius limits, kill switches, with assurance reporting flowing to your committee.
Governance that moves at your cadence.
A technical demo maps Nexovern's architecture onto your stack: integration points, telemetry model, enforcement paths.