Stop a risky action while the agent is still running.
Seeing what an agent did is only half the job. Manage turns your policies into controls that act at the moment of the action: it flags violations against your rules and OWASP and MITRE risk, blocks sensitive data before it leaves the endpoint, and can quarantine an agent or endpoint the instant it steps out of line, with a forensic log of every decision.
A policy decision on every risky action.
Every high-risk action is checked against your policy before it completes. Compliant actions flow at machine speed; risky ones are held, blocked or escalated.
Every high-risk action is checked at the gate. Compliant agents proceed; one breaching its blast-radius limit is held before it can act.
What Manage enforces.
Policies
Your rules for what agents may and may not do, applied at the endpoint as they run: allowed tools and data, approval requirements, and hard boundaries on what an agent can touch.
OWASP & MITRE risk
Agent behavior mapped to OWASP GenAI Top 10, OWASP LLM Top 10 and MITRE ATLAS risk frameworks, so a violation is named in the language your security team and auditors already use.
Block & quarantine
Sensitive data blocked before it leaves for an AI vendor, and a misbehaving agent or endpoint quarantined in seconds, before an incident spreads.
Forensic logs
Every action and every enforcement decision recorded as an ordered, exportable log, the evidence that a control existed, fired, and worked, ready for a regulator or your board.
- Approval checkpoints human-in-the-loop gates for destructive, high-value or regulated actions, enforced at the endpoint.
- Data-loss prevention for AI PII, secrets and source code stopped before they reach an external AI vendor.
- Blast-radius limits & kill switch per-agent boundaries on what can be read, written, executed and reached, with seconds-level containment.
- Provable enforcement every decision logged, so you can show a control operated as designed.
Write your own policies. Change them any time.
Your rules, not ours. Define exactly what your AI agents may and may not do, and Nexovern enforces it at the endpoint and the gateway. Add a new policy the moment a new risk appears, and it takes effect without redeploying anything.
- Your policies, your language block, gate, redact or alert on any combination of agent, action, data type and destination.
- Add or change any time new rules apply immediately across every endpoint and agent, no rollout, no downtime.
- Frameworks we keep current policy packs mapped to RBI, SEBI, IRDAI, DPDP, the EU AI Act, DORA, NIST AI RMF, OCC/SR 11-7, OWASP and MITRE, maintained by us as the rules change, so you are not rebuilding mappings every time.
- Versioned and auditable every policy change is logged, so you can show what was in force and when.
Illustrative view of the Nexovern console.
Violations named in the language your auditors use.
Every agent action is mapped to the risk frameworks your security team and regulators already reference: the OWASP LLM Top 10, the OWASP Agentic AI risks, MITRE ATLAS, the EU AI Act, and NIST AI RMF.
- OWASP LLM Top 10 prompt injection, sensitive-information disclosure, excessive agency, system-prompt leakage and the rest, detected and counted.
- OWASP Agentic AI & MITRE ATLAS agent-specific risks and adversarial techniques mapped to what your agents actually did.
- EU AI Act & DORA high-risk AI system documentation, conformity requirements, and ICT operational resilience controls mapped to your agent inventory.
- NIST AI RMF governance, mapping, measurement, and management functions aligned to the US AI risk-management framework.
- One risk score a single, board-ready number, with severity trends and the detections behind it.
Illustrative view of the Nexovern console.
Enforce in the two places agents actually run.
Agents don't only run on laptops and servers. They run in your cloud, calling APIs and MCP servers. Nexovern enforces in both.
- On the endpoint the Nexovern sensor watches and enforces on the machines where agents and copilots run, across Windows, Linux and Mac.
- At the gateway (BETA) for cloud and headless agents, Nexovern secures the API and MCP gateways they call through, inspecting and governing traffic to tools and MCP servers in real time.
- One policy, both places the same rules apply whether an agent runs on a developer's laptop or as a service in your cloud.
Illustrative view of the Nexovern console.
Endpoint sensor and API / MCP gateway, governed by one policy.
From written policy to enforced reality.
The same policies your security and compliance teams write become controls that act in production.
01
Codify policy as controls
Allowed tools and data, approval requirements, data-loss rules and risk thresholds, expressed as machine-enforceable policy and versioned like the rest of your configuration.
02
Enforce at the moment of action
Risky actions pause for approval, out-of-bounds actions are blocked, and sensitive data is stopped before it leaves, on the endpoint and at the gateway.
03
Contain and prove
Quarantine a misbehaving agent or endpoint in seconds, and log every decision as evidence that your controls operate as designed.
What stands between your policy and your agents today?
If the answer is "a review meeting," let's talk about controls that act at the moment of the action. Bring one agent to a demo.