Platform
Solutions
Resources
Company
Posture tells you what an agent could do. Mitiga watches what it does across cloud, SaaS, and identity, catches the drift in runtime, and stops and contains it when it turns.
AI Agent Security is discovery, governance, runtime detection and response, and Zero-Impact Breach Prevention for AI agents. It finds every agent acting across cloud, SaaS, and identity, watches what it's allowed to reach against what it actually does, reconstructs what it did through the identities it acts on – and stops and contains malicious activity before it reaches the business.
Agents take action. They read data, call APIs, change records, and trigger other agents. Every action runs through a credential, like a service account, OAuth grant, API token, workload identity, or delegated session. They act through your credentials, at machine speed, without a human watching each step. The only signal that something is wrong is behavior – what an agent touched, when, on whose authority, and what changed as a result.
Copilot Studio and Agentforce agents, Bedrock and Azure AI Foundry apps, and coding agents on developer laptops now read data, call APIs, change records, and trigger other agents.
Engineering builds some agents, business users stand up others inside Agentforce and Copilot Studio, and employees connect their own. Most security teams cannot say which agents can reach critical data, let alone what those agents did last week.
Mandiant's M-Trends puts the median time from initial access to hand-off between attacker groups at 22 seconds. A compromised agent moves at the same speed, and looks like legitimate automation while it does.
A compromised agent doesn't need to break in, because it already has access. The only signal that something is wrong is behavior.
Every enterprise now runs three kinds of agents at once, and most security teams can only see one of them.
Your engineers build these on Bedrock, Azure AI Foundry, or a custom stack. Each one inherits whatever role an engineer assigned it and grows past it over time.
These are sanctioned SaaS and platform agents, like Salesforce Agentforce, ChatGPT, Anthropic, and vendor-built automations. They connect through an OAuth grant nobody watches after approval.
These include coding agents on developer laptops, personal AI tools connected with a work identity, and MCP servers and skills nobody reviewed.
If it can act in your environment on your credentials, Mitiga sees it – whoever owns it.
Only Mitiga answers all five. Every other tool in the market answers one.
Governance vendors control the agent from the inside. Posture vendors map what it could reach. Mitiga sees it, stops it, contains it, and governs it – in real time.
A sanctioned vendor agent starts using its access in a way it never has before.
Signals include bulk reads, off-hours activity, and new scopes across two SaaS apps. Mitiga ties the grant, the API calls, the data reached, and the downstream cloud activity into one incident. Then it revokes the grant.
An agent inherits a broad role and starts touching resources outside its task.
A Bedrock or Foundry agent's behavior drifts from what its role allows. Mitiga shows the gap between the two and flags the drift before it becomes an incident.
A developer installs a skill or MCP server carrying hidden execution or credential exfiltration.
Skillgate catches it for free before the agent acts, without executing code. If it already acted, Mitiga shows what the developer's credentials did next.
One compromised agent triggers tools, services, and other agents at machine speed.
Mitiga correlates the sequence into one attack story and timeline, and identifies the safest point to contain it and prevent impact.
Outcomes are what AI Agent Security delivers. Here's what that looks like in practice:
Mitiga learns what normal looks like for every agent – which systems it touches, which actions it takes, on whose authority – and flags the moment it does something new or outside its guardrails.
Every prompt is part of the investigation record. When an injected instruction tries to hijack an agent mid-task, Mitiga captures it, flags it, and ties it to everything the agent did next.
AI cuts false positives before they reach your SOC, and pushes recommended containment – suspend, revoke, rotate – straight into your SOAR, at machine speed.
Treat a hijacked agent or abused token like a phished user: detected, scoped, stopped, contained – across every agent and every identity.
Mitiga is built for the part they leave uncovered. It shows you what happened and what to do about it right now.
Posture is the plan. Runtime is the risk. Mitiga watches what happens with every agent – and it’s the only AI Agent Security solution that also stops and contains AI agent attacks and rogue agents at runtime, before they cause impact.
Mitiga doesn’t pick one signal over the other – it cross-references static configuration with live runtime activity. Configuration tells you what’s possible; runtime tells you what’s happening. Correlating both is what turns “this could happen” into “this is happening, right now.”
Mitiga correlates cloud, SaaS, identity, and AI activity into a single attack story.
Because the evidence is the logs you already collect, Mitiga can answer "What did our agents do in the last 30 days?" on day one.
Revoke the grant, quarantine the identity, and reverse the change. That's Zero-Impact Breach Prevention, applied to agents.
A third-party agent connected through an OAuth grant, or a shadow agent using an employee's token, never passes through a gateway or sensor. It still leaves logs, and Mitiga still sees it.
Static scans tell you what was true at your last snapshot. Mitiga cross-references runtime activity with static configuration, watching for drift and privilege escalation in runtime – so permission creep gets caught the moment it happens, not at your next scan.
One normalized, cross-plane Cloud Security Data Lake spans cloud, SaaS, identity, and AI, answering what an agent did, how far it reached, and what to do right now.
supported platforms
days of retention
detections maintained and continuously tuned
of contextualized data sent downstream to SIEM
from collection, to detection, to response – for AI Agent Security at machine-speed
of SOC workflow automated end to end
of alerts triaged, each with an auditable verdict
the signal coverage of a human-led SOC
detections maintained and continuously tuned
Zero-Impact Breach Prevention. Let them come.
Every AI agent in your environment acts through an identity you already issued. Mitiga discovers it, governs what it can reach, reconstructs what it did, and stops it before business impact.
That's Zero-Impact Breach Prevention, for agents.
No. Guardrails and inline platforms sit in the prompt or tool-call path and can block an action before it happens, for the agents wired into them. Mitiga sits outside that path. It watches the identity, cloud, SaaS, and AI logs every agent leaves behind, governs what each one can reach, and can revoke, quarantine, and reverse after the fact. The two are complementary. Most enterprises need both.
Yes, that's where Mitiga is strongest. A third-party agent using a plain OAuth grant, or an employee's personal AI tool connected with a work identity, never passes through a gateway. It still leaves a trace in your cloud, SaaS, and identity logs, and Mitiga still sees it.
Because the evidence is the logs your organization already collects, Mitiga can investigate agent activity from before your team put any agent control in place.
Where Mitiga has visibility into the prompt itself (Bedrock, Azure OpenAI, Agentforce, and Copilot logs) it surfaces prompt-level signals as one input alongside identity, cloud, and MCP evidence. Where it doesn't have the prompt, Mitiga detects the behavior that results from it.
Mitiga runs continuous runtime detection and governance from the logs and APIs your platforms already produce. Latency depends on the source. Mitiga does not claim inline, before-the-action blocking – that's the job of guardrail platforms, and the two work together.
No. Mitiga is agentless with no SDK, proxy, or code change inside the agent. It works from the logs and APIs your cloud, SaaS, identity, and AI platforms already produce.
Mitiga takes supported, reversible response actions through named integrations. It revokes the token or session, quarantines the identity, and reverses the change where the integration supports it.
Mitiga covers agents whose actions appear in a supported cloud, SaaS, identity, or AI sources
