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Ungoverned digital coworkers
Agentic workspaces like Claude have limited controls, leaving the identity front door open.
AI Workforce Identity Security
Give your AI agents access without giving up control.
AI agents, agentic workspaces, and agentic IDEs execute operations against live systems through MCP. Unosecur evaluates every action, scopes access for every credential, and logs every decision.
The Problem(s)
Every agent with MCP access can reach more than you think.
Agentic identity sprawl with trusted delegation is growing faster than teams can keep up with. Agents are running wild with broad standing access and no audit trail behind it.
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Invisible execution
No view of which external servers are accessed and which tools are being called.
High-risk calls
You may trust your developer not to delete a repo or other resource, but do you trust their agents with delegated access?
The Solution
Put one gateway between
your agents and your systems.
Define every MCP server and tool call that Agents get access to, with every call passing through Unosecur first. Agents don't talk directly with each MCP server in your stack, and you decide what permissions they get continuously as they run.
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Our Approach
Nothing an agent does goes unchecked.
01.
Every agent gets the least access it needs.
Set fine-grained access per connector, then let the usage score expose anything over-provisioned. Each agent gets right-sized toward least privilege from how it actually behaves, not from a static role.
- Fine-grained access, per connector
- Usage score flags over provisioned agents
- Right-sized from used versus unused tools
02.
Sensitive access that disappears on its own.
An agent requests a single tool or a full MCP server, with a justification and a time window. The access request gets logged for compliance, with an approval flow, and access closes itself when the window ends.
- Request one tool or a full server, with a reason
- Approve or deny the request, with tracking history
- Time-bound, schedulable in advance, self-closing
03.
Dangerous actions never make it through.
Unosecur analyzes agent intent, blocking or flagging sensitive tool calls with custom content rules and Data Loss Prevention (DLP) controls.
- Regex-based rules to flag or block specific content in tool calls.
- Automatically detect and control PII, credentials, API keys, tokens, and secrets
- Classify tool-call intent and flag risky usage as requests are executed
04.
Agents act without ever holding your credentials.
Each session carries its own verified identity, while your real credentials stay encrypted and scoped per connector. Tokens and keys never reach the agent or the model, and every decision keeps the policy and audit trail behind it.
- A verified identity for every agent
- Credentials encrypted, scoped per identity
- Policy engine and activity trail behind each decision
05.
See every tool call as it happens.
A live feed of what your agents are doing across every client and server. Tool Monitor shows each MCP tool call at runtime, with its timestamp, the agent or user behind it, the MCP client, the target server, the specific tool, the status, and how long it took.
- Every tool call shown at runtime, with complete context
- Status on each call: success, error, flagged, or blocked
- Filter by identity, client, server, tool, and status
06.
Audit-ready logs. A complete, immutable record of every identity, action, and policy change across your platform.
Every meaningful action is written to a durable, tamper-evident record: the identity behind it, what they did, when, and from where. Authentication, OAuth activity, connector changes, and policy edits, all in one place. So when an incident or audit hits, you can show exactly what happened and who was responsible, instead of assembling the evidence after the fact.
- Every action attributed to a user, timestamped, and IP-tagged.
- Immutable and exportable to your SIEM.
- Authentication, OAuth, connector, and policy changes in one place.
How It Works
Connected to governed in four steps.
It runs agentless and inline, with no SDK and no changes to your agents or servers.
Connect clients
Point your MCP clients at the gateway, from Cursor and Claude Code to ChatGPT and custom agents.
Add servers
Place the MCP servers your teams use behind the gateway, from GitHub and Slack to Postgres and internal APIs.
Set policy
Define what each agent can call, what needs approval, and what is blocked outright.
See the proof
Run a call and watch the decision land in the audit trail with full attribution.
Compliance and evidence
Deploy agents at scale,
and clear the audit.
Every control maps to the frameworks your auditors already use, and every decision exports as evidence. Agent adoption clears review instead of stalling in it.
ISO 27001
ISO 42001
CIS v8
OWASP
NIST AI RMF
EU AI Act
Continuous posture
assessment
Agent access is scored and re-checked as usage and policy change.
Control and compliance mapping
Each policy lines up with the control families your program reports against.
Exportable audit
evidence
Decisions, approvals, and access changes export straight to your SIEM.
Part of the platform
The gateway extends the Unified Identity Fabric to agents.
The Unified Identity Fabric is the agentless layer Unosecur is built on. It connects to your clouds, identity providers, directories, and SaaS without replacing any of them, then maps every AI agent, non-human identity, and human identity to the access it holds. The gateway brings that same visibility, posture, and governance to agents the moment they reach a tool through MCP.
Explore the Unified Identity Fabric
Bring Identity Control to Agentic AI
See how Unosecur secures AI agents and MCP in real environments.
FAQs
Everything you Need to Know
AI agents need scoped, ephemeral credentials, not shared service accounts. Authenticate every agent at the point of access, enforce just-in-time permissions tied to the requesting user or task, and log every tool call and resource touched. Behavioural baselining flags privilege escalation attempts. The MCP Auth Gateway sits between agents and downstream systems, so authorisation decisions happen at every hop rather than once at session start.
AI agents typically authenticate with broad OAuth scopes or static API keys, which means a compromised agent has standing access to whatever the connected SaaS account can do. Most SaaS apps cannot distinguish agent traffic from human user activity, so audit trails are misleading. The MCP Auth Gateway adds agent identity, scoped permissions, and per-call authorisation at the gateway layer instead.
Maintain an inventory of approved agents and their expected behaviour. Monitor every MCP endpoint, OAuth grant, and API key issuance for new agent identities. Behavioural analytics flag agents calling tools outside their scope or accessing resources outside their normal pattern. The MCP Auth Gateway logs every connection attempt, so shadow agents surface the moment they try to reach a protected system.
Stop using long-lived static credentials in scripts and CI/CD pipelines. Issue short-lived tokens scoped to the specific task, rotated automatically. Inject secrets at runtime rather than embedding them in code or environment files. For AI agent workflows, the MCP Auth Gateway brokers credentials per call, so no agent or pipeline holds a token longer than the operation needs.
Shadow agents run with credentials nobody is tracking, often pulled from a developer's personal account or a shared API key. They access production data, modify records, and call external APIs without governance, audit, or rate limits. When something breaks or leaks, attribution is impossible. The MCP Auth Gateway forces every agent through a known authorisation point, which removes the shadow path.
Use mutual authentication between services with short-lived tokens, scoped to the specific operation, with every call authorised against a central policy. Static API keys shared across services are the most common failure mode. Workload identity, mTLS, and per-call authorisation through a gateway layer remove the shared-secret problem. The MCP Auth Gateway extends this pattern to agent-driven calls.
Use mutual authentication between services with short-lived tokens, scoped to the specific operation, with every call authorised against a central policy. Static API keys shared across services are the most common failure mode. Workload identity, mTLS, and per-call authorisation through a gateway layer remove the shared-secret problem. The MCP Auth Gateway extends this pattern to agent-driven calls.
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