Catch what your AI agents do,
before it becomes an incident.
AI agent security and governance for banks, financial services, insurance and IT. We watch what every agent, MCP server and AI assistant actually does, across endpoints, APIs and cloud, tie every action to the prompt and identity behind it, and flag the risky ones in real time.
Built exclusively for four regulated verticals.
Not a horizontal platform stretched to fit. Every detection, policy pack and evidence export is shaped for the regulators these industries answer to.
The problem: you can't see what your AI agents actually do.
AI agents now run inside your business, approving, transacting, moving data. Most security and governance tools only see what an agent reports about itself: its prompts, its responses, the actions it chooses to log. That record is incomplete, and worthless the moment an agent is compromised or misbehaving.
Nexovern closes that gap. We capture the prompt an agent receives at the app layer and correlate it with what the agent actually does at the operating-system layer - the one record it can't edit or hide. Every action tied to the prompt and identity that caused it.
See how it works →Every AI session, broken down into what it actually did.
For each session, we capture five kinds of activity and tie them back to the prompt and identity that caused them. This is the proof you can hand an auditor, a regulator or your board.
Tool calls
Every tool an agent invokes, captured at the source, not as the agent chose to log it.
Processes
Every process it spawns, what it ran and under whose identity.
Files
Every file read, written or renamed, including the ones it never reported.
Network & DNS
Every connection opened, every domain resolved, and where data actually went.
Tied to cause
Each action correlated to the prompt that triggered it and the identity behind it.
Catch sensitive data before it leaves for an AI vendor.
Your people paste customer records, secrets and source code into AI tools every day. Nexovern detects PII, credentials and other sensitive data in AI sessions, shows you exactly which vendor it's flowing to, and can block it before it leaves the endpoint.
- PII, secrets and source code detected in prompts and agent activity as it happens.
- Mapped to the vendor receiving it, so you see where your data is actually going.
- Blocked at the endpoint when it breaches policy, before it ever leaves.
The confidence gap is the risk.
88%
of organizations running AI agents reported a confirmed or suspected agent-related security incident in the past year
Gravitee, State of AI Agent Security 2026
21%
have runtime visibility into what their agents actually do, while 82% of executives believe their policies already protect them
Gravitee, State of AI Agent Security 2026
3%
have automated, machine-speed controls governing how AI agents behave in production
Teleport, State of AI in Enterprise Infrastructure Security 2026
Most enterprises govern what their AI reports, not what it does. In a regulated business, the difference is the audit, and the incident nobody saw coming.
Map. Measure. Manage.
One platform to inventory every AI agent, watch what it does, and govern it, mapped to how your security and risk teams already work.
01
Map
Inventory
Discover and classify every endpoint, AI agent and MCP running across your business, including the ones nobody registered.
02
Measure
Observability
Watch every AI session at the endpoint, processes, files and network calls, tied to the prompt and identity behind each action, and surface threats as they happen.
03
Manage
Governance
Enforce policies, keep forensic logs, and track OWASP and MITRE risk, so you can stop a risky action and prove what happened to a regulator or your board.
The Nexovern advantage.
Most AI security tools work from what an agent says about itself. We work from what it actually did, and here is what that makes possible.
Complete visibility
Every AI agent, copilot, MCP and endpoint, including the ones nobody registered.
With others, you see only the agents someone remembered to register.
Real-time attribution
Every action tied to the prompt that triggered it and the identity behind it.
With others, you get a prompt log that is disconnected from what actually happened on the system.
Granular control
Write your own policies for any tool call, file or data movement. Effective at once.
With others, you are stuck with fixed rules you cannot change without waiting for a release.
Endpoint, cloud and on-prem
Windows, Linux, Mac and Kubernetes. Deploy as SaaS on Nexovern Cloud or on your own infrastructure. <2% CPU overhead.
With others, you are locked into one deployment model and covered at one layer only.
Evidence, not self-report
An independent record, captured whether or not the agent reports it.
With others, all you have is the agent's own account of what it did.
Regulation kept current
We maintain the BFSI and IT frameworks. You layer your own policies on top.
With others, your team has to build and maintain every compliance mapping itself.
How exposed is your AI estate?
A two-minute self-assessment, six questions an examiner, auditor or board will eventually ask you. Answer honestly and get an exposure score with the specific gaps to close.
Can you list every AI agent, copilot and MCP running in your environment right now?
No data is sent anywhere. This runs entirely in your browser.
We only build for regulated finance and IT. That focus is the product.
We don't promise every industry the same platform. We speak the language of a CISO, CRO or CCO who answers to a regulator, and every detection, policy template and evidence export is shaped for that conversation.
Banks & lenders
Underwriting, fraud and advisory agents that carry explainability and adverse-action duties under RBI, the OCC and CFPB, and can't be a black box when a regulator asks why.
Explore Banking →Capital markets & non-bank finance
Trading, asset management, NBFCs, payments and fintech lending, where one unexplained agent action becomes a SEBI or SEC event, and action-level evidence is the bar.
Explore Financial Services →IT services & software
CI/CD agents with production access, copilots that can exfiltrate quietly, and shadow AI built by your own engineers, activity conventional tooling was never designed to see.
Explore IT / ITES →Insurers & intermediaries
Claims and underwriting AI facing one unforgiving question, "why was this claim rejected?", plus data-governance, records and CISO-independence expectations.
Explore Insurance →Early, and already in production.
Nexovern was incorporated in June 2026 in the US and India. We're deliberately early, and deliberately narrow.
- One paying customer live in the US since August 2026.
- Three demo engagements in India in active proof-of-concept and discovery.
- An advisory board forming, a UK CISO, a US CISO, and regulatory and finance experts across India and the US.
Illustrative view of the Nexovern console.
AI can tell you what it did.
We show you what actually happened.
Bring one AI agent from your environment. In a focused demo, our team will show you the prompt it received, its self-report, and the OS-layer evidence of what it actually did - correlated under one identity.
Request a demo
Bring one AI agent from your environment and we'll show you what it actually did, calls, files, processes and network, tied to the prompt and identity behind it.
We reply within one business day. No newsletter, no spam.
Thank you, we'll be in touch.
Our team will reach out within one business day to set up your demo. If you have a specific AI use case in mind, reply to our email and tell us, it makes the session sharper.
Prefer email? Write to contact@nexovern.com