What AI is in use?
AI apps on personal and work accounts. Browser extensions. Coding agents, MCP servers, skills and plugins. AI apps and agents connected to your tenant.
Identra finds the AI in your browsers, on your endpoints and across identity, SaaS and cloud. Then it puts your policy on prompts, accounts, extensions and agent tool calls.
AI note-taker requests mail and files
A list of AI tools tells you what exists. Security starts with what that AI can reach, what it does with it, and who it does it for.
“What AI do we have?”
“What can our AI access, what can it do, how is it behaving, and where are we exposed?”
AI assetIdentityPermissionDataToolActionBehavior
Risk lives in the links between them. At each link, this is what Identra sees.
Browser, endpoint and provider activity tied to the person, where known. One identity, one timeline.
AI apps and the account used with each, work or personal. New AI apps are recognized as soon as they show up.
In the browserCoding agents on the laptop, AI agents across Microsoft 365, Google Workspace and Anthropic with owner and risk score, and agents driving the browser.
Across identity, SaaS and cloudMCP servers found on macOS and Windows laptops and reviewed by Identra. AI that hides what it does is flagged.
On the endpointSkills, plugins and extensions inventoried. Every browser extension gets a trust score. Risky ones can be disabled by policy.
AI agent tool calls checked against policy. Destructive shell commands denied when policy is set to block.
Prompts checked on the device before they are sent, then masked or blocked by policy. Uploads checked, including files marked sensitive. Connected apps sorted by what they can reach.
Every AI agent run recorded with user, device, AI client and outcome, allowed or blocked.
Let AI act. Within boundaries you define.
AI didn't wait for a policy. It's in your people's browsers, on their laptops and wired into your identity provider, SaaS and cloud, usually where your existing tools never look.
Identra answers both, across browser, endpoint and cloud, tied to the person behind it, where known.
Prompt filters stop at the text box. Identra goes after what AI actually does in the browser, on the endpoint and across identity, SaaS and cloud: agents, extensions, MCP servers and grants.
Discover. Classify. Intent. Agents. Control.
Finds the AI apps people use and the account they use them with, work or personal, plus every installed browser extension.
Finds the AI apps people use and the account they use them with, work or personal, plus every installed browser extension.
An on-device AI classifier recognizes cards, tokens, SSNs, API keys, credentials and sensitive content before the prompt is sent.
Spots risky intent, like a request to bypass a security control, before the prompt is sent.
Detects AI agents driving the browser and can block them by policy.
Account-aware access for ChatGPT, Gemini, Claude, Perplexity and Grok. Prompts allowed, alerted, masked or blocked by policy. Uploads to AI can be blocked.
A prompt masked on the device. A destructive command denied. A browser-driving agent blocked. A risky grant sent to an analyst. Each one tied to a person where known, on one timeline.
A browser extension, an agent for macOS and Windows, and integrations with Microsoft 365, Google Workspace, Okta, AWS and other providers. All of it feeds one timeline.
See the whole platformEvery scenario below runs on capabilities in the product today: in the browser, on the laptop and in your identity provider.
WHERE IT HAPPENS
THE MOMENT
Nobody knows which AI tools people use.
scribe-ai.example · unknownAI meeting assistant
CheckingClassified · added to inventoryWHAT IDENTRA DOES
One platform. Browser, endpoint and identity providers. One identity, one timeline.
The same person uses a personal chatbot account, runs a coding agent with a new MCP server, and grants an AI app access to their mail. Scattered across tools, that's noise. Tied to one identity, it's one story.
Browser, endpoint and provider activity tied to the same identity where known, on one timeline.
Related events become one incident, not a pile of alerts.
Start from who did what, with which AI, and what it could reach.
Prompts, agent runs and grants trace back to someone, or something. Identra ties human, non-human and AI-agent identity together where known, so AI risk has a name attached.
Human, machine, agent. One timeline.
Strong controls only work when people trust them. These are the defaults.
Prompt content stays on the device by default.
AI security that stops at the prompt, or lives on one surface, misses where the risk is. Identra is built on identity, so AI apps, agents and grants connect back to a person and to what they can reach.
A personal chatbot account, a coding agent with MCP servers and an AI app grant become one story, not separate alerts.
Every AI app, extension and agent rated by how much of your business it can reach.
Allow the work account, redirect the personal one to your company AI workspace, or block it, based on the signed-in account.
Checks run on the device before send. Prompt content stays there by default.
Agents driving the browser, extensions that read sign-in sessions, MCP servers, skills, coding-agent tool calls and OAuth grants.
Lookalike login pages, typosquats, password reuse and device-code lures caught in the same extension, with Microsoft and Google app-consent prompts covered.
Make AI security proactive, preventive and actionable across browser, endpoint, SaaS and cloud, built on the identity behind human, machine and AI actions.
Founders with decades in threat detection and enterprise security, partners since their years at FireEye and Trellix, where they built and scaled platforms from the ground up to global deployment. Identra's engineering and research team builds on that same detection background.
Ramesh Gupta is the Co-Founder and CEO of Identra and a serial cybersecurity entrepreneur with decades of experience building market-leading security products across network, email, and identity security.
Prior to Identra, he co-founded IntruVert Networks, creator of the industry-leading IntruShield Network IPS, which was acquired by McAfee and became its most successful acquisition.
Ramesh later held senior product leadership roles at McAfee, FireEye, and Trellix, driving innovative cybersecurity solutions. He has also worked extensively with global enterprises as an executive sponsor and trusted advisor, leading strategic sales engagements and helping shape security programs worldwide.
Sai Vashisht is the Co-Founder and CTO of Identra, with a career spent turning attacker research, large-scale telemetry and product engineering into enterprise security platforms.
Before Identra, Sai was a Distinguished Engineer at FireEye/Trellix, where he architected advanced threat and cloud detection systems and helped shape detection capabilities across email, network, endpoint, and cloud security.
Sai's innovations are reflected in granted U.S. patents spanning malware analysis, ML/AI-driven threat detection, and security automation. At Identra, he architected and leads the company's AI security platform, built on identity across human, machine and AI.
A walkthrough with a security engineer. We'll show you how Identra finds the AI in use across your browsers, laptops and cloud, and who can reach your critical data.