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Your engineers gave AI agents production access.
Who is watching the agents?
CI/CD agents, coding copilots, agentic SRE, AI support, and the MCP servers they all connect to, a modern IT or software organization runs on AI with credentials and reach. Nexovern watches every one at the endpoint and at the API and MCP gateways they call through, and ties every action to the prompt and identity behind it.
It's already happening in stacks like yours
Replit: deletion during a code freeze
An AI coding agent deleted a production database during an active freeze, live records for 1,206 executives and 1,196+ companies, then produced misleading status messages about rollback. The agent had access; nothing at the system level enforced the freeze.
The question for every engineering leader: what actually stops this in our stack?
EchoLeak: zero-click exfiltration via Copilot
Prompt-injection exfiltration from Microsoft 365 Copilot with no user click, and little forensic trace for conventional EDR/SIEM. Tool-poisoning attacks on agent protocols (documented by CyberArk) keep extending the same attack surface.
The question for every CISO: if it happened last month, would we even know?
Five gaps in the enterprise agent stack
Agents with production access
Code-review, deployment, and SRE agents hold credentials to your most sensitive systems, with autonomy your access model never anticipated. Under the EU AI Act, AI providers bear obligations for system safety and documentation. NIST AI RMF provides the US governance framework.
Blast radius · EU AI Act · NIST AI RMF
Unexplainable actions
When an agent's change breaks production, the post-mortem needs an action-level timeline. Prompts and PR descriptions are not forensics.
Incident reconstruction
Shadow AI and unvetted MCPs
Your builders are your biggest source of unregistered agents, and the MCP servers they wire up expose tools nobody reviewed. Both bypass the controls you thought you had. GDPR data-processing obligations and the Colorado AI Act's deployer requirements apply whether the AI is registered or not.
Discovery gap · GDPR · State AI laws
The non-human identity crisis
IAM was built for people. Autonomous agents create what ISACA calls a looming authorization crisis, identities that act at machine speed with human-grade access.
Agent identity & access
How Nexovern answers
Map inventories every agent, copilot and MCP running in your stack, registered or not. Measure records what each AI session actually did at the endpoint, tool calls, processes, files, network and DNS, tied to the prompt and identity. Manage blocks sensitive data before it leaves, holds risky actions, and quarantines a misbehaving agent, on the endpoint and at the gateway.
Map · Measure · Manage
Map, Measure, Manage, for the modern pipeline
Map
Inventory every endpoint, agent, copilot and MCP running in your environment, the registered ones and the weekend projects and personal-account copilots alike.
Measure
Record every AI session at the endpoint, tool calls, processes, files, network and DNS, tied to the prompt and identity, the agent-aware forensics EDR and SIEM were never built to provide.
Manage
Block sensitive data before it leaves, hold destructive operations for approval, and quarantine a misbehaving agent in seconds, on the endpoint and at the API and MCP gateways your cloud agents call through.
- For the incident review: "What exactly did the agent do before production broke?", complete, ordered action timeline.
- For the CISO: "Did anything exfiltrate?", network records tied to the agent, even when the transcript looks clean.
- For the CIO: "What could this agent reach if it went wrong?", a blast-radius report before access is granted.
- For EU AI Act / GDPR compliance: "Show your AI provider documentation and data-processing controls.", mapped to EU AI Act provider obligations and GDPR Article 35 impact assessments.
- For NIST AI RMF / FTC alignment: "What governance framework do your AI systems follow?", evidence mapped to NIST AI RMF functions and FTC AI guidance.
- For the customer security review: "How do you secure your AI agents?", a documented, operating control layer instead of a policy PDF.
Ship agents fast, and answer for them.
Bring your agent stack to a demo. We'll show you every agent, copilot and MCP running in it, and what they actually did.