Mitiga shows you what it did, then stops it before it matters. Built by your team. Bought from a vendor. Connected by an employee.
If it can act in your environment, Mitiga makes its activity visible, attributable, and reversible.
EDR protects the endpoint. Guardrails protect the prompt. Mitiga protects everything else.
AI Agent Runtime Security is runtime detection and response for AI agents. It reconstructs what an agent did through the identities it acts on, across cloud, SaaS, identity, third-party services, and AI, and contains that 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. That means what an agent touched, when, on whose authority, and what changed as a result.
of enterprise breaches will trace back to AI agent misuse by 2028.
of CIOs will demand tooling that tracks, oversees, or contains what agents do.
Source: Gartner
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.
Standards bodies and platform vendors are starting to respond. NIST's AI Agent Standards Initiative, the mid-2026 MCP authorization model, Microsoft Entra Agent ID, and Google's Agent Identity give agents distinct identities. They make agents attributable. They don't tell you what an agent did with that identity, or whether it should have.
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 Copilot Studio, Agentforce, 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 makes its activity visible, whoever owns it.
Skillgate is the free, community-powered scanner for third-party and shadow AI skills, prompts, configs, and repositories, before a skill or MCP server ever runs.
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. The SOC still has to reconstruct what the agent did across the modern infrastructure, and stop it. That reconstruction, detection, and response is Mitiga's AI Agent Runtime Security.
Governance vendors control the agent from the inside. Posture vendors map what it could reach. The SOC still has to reconstruct what the agent did across the modern infrastructure, and stop it. That reconstruction, detection, and response is Mitiga's AI Agent Runtime Security.
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 and accessing 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.
Mitiga's evidence comes from logs you already have, spans every supported source, and ends in a reversible action
Both layers matter, but nobody built either one to answer what happened. Astolen agent token, a vendor's OAuth grant, or an agent nobody registered never passes through a gateway nobody wired to it or a sensor nobody deployed.
Helios AIDR ties the prompt, the model invocation, and the MCP call to what changed downstream in cloud, SaaS, and identity.
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 [N] 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.
Skillgate scans skills, hooks, MCP configurations, and instruction files (CLAUDE.md, AGENTS.md) before an agent acts on them. It's free and requires no code execution.
After the fact, who can tell you what the agent actually did? Whoever wired the gateway can't, because the agent nobody registered never passes through it. The posture scan can't either, because it only maps what an agent could reach.
Mitiga is built for the part they leave uncovered. It shows you what happened and what to do about it right now.
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, and it 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 from Helios AIDR 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 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 source, not an unqualified "every agent."
Every AI agent in your environment acts through an identity you already issued. Mitiga
reconstructs what it did across cloud, SaaS, and identity, and stops it before it becomes
business impact. That's Zero-Impact Breach Prevention, for AI agents.
Let them come.
