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The agent attack surface is yours now. The liability might be too.
Agents hold credentials, touch data, and act at machine speed, and the precedents from SolarWinds and Uber made security accountability personal. Nexovern gives you runtime visibility and control over the one perimeter your existing stack can't see.
Four exposures, one role
Shadow AI is multiplying faster than I can find it.
The discovery problemEngineers and business units deploy agents and copilots without registration; staff on personal accounts bypass gateway controls entirely. Your inventory is out of date the day it ships.
→ Map discovers agents and MCPs from real endpoint activity, not self-reporting, so shadow deployments surface automatically.
Prompt injection and tool poisoning leave no trace my SIEM can see.
The forensics problemEchoLeak (CVE-2025-32711) exfiltrated data from M365 Copilot with zero clicks and little conventional forensic trace. MCP tool-poisoning attacks extend the same surface. EDR attributes actions to processes and users, not to agents.
→ Measure records what each AI session actually did at the endpoint, tool calls, processes, files, network and DNS, tied to the agent and the prompt behind it.
Agents are identities my IAM was never built for.
The authorization problemAutonomous, non-human identities acting with human-grade access at machine speed, what ISACA calls the looming authorization crisis.
→ Manage enforces blast-radius limits and approval checkpoints at the endpoint and at the API and MCP gateways your cloud agents call through, where they can't be prompt-engineered away.
If an agent incident becomes an enforcement action, it has my name on it.
The accountability problemThe SEC charged the SolarWinds CISO personally; Uber's CSO was criminally convicted. Boards now expect security leaders to answer for AI conduct, with evidence.
→ Continuous, exportable evidence that controls exist and operate, the record that protects the institution and the officer.
Runtime security for the agent layer
- Every agent, MCP and endpoint inventoried including the shadow deployments and unvetted MCP servers your team never registered.
- Session-level detection exfiltration, PII leaks to AI vendors and tool-poisoning surface as they happen, even when the transcript looks clean.
- Containment in seconds block sensitive data before it leaves and quarantine a misbehaving agent or endpoint, on-device and at the gateway.
- Board-ready reporting the AI security posture story, with evidence, mapped to OWASP and MITRE risk your committee expects.
- Coexists with your security stack runs alongside CrowdStrike, SentinelOne, Defender, Zscaler and Netskope with zero kernel conflicts. <2% CPU overhead.
- SaaS or on-prem deploy on Nexovern Cloud or inside your network. Your telemetry stays where your security policy says it should.
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.
Know what every agent did. Prove it.
Bring your agent estate to a demo. We'll show you the visibility gap between your current stack and the system-level record.