AI Agent Control, enforced at runtime.
Your teams are deploying autonomous AI agents — coding agents, ops and SRE agents, computer-use agents, MCP-connected copilots. They read files, run commands, call tools, and move data on their own, at machine speed. AgentProtect is the control layer that decides what each agent is allowed to do — and stops the actions it isn't, before they happen.
Runs on the same single SIGMA engine already powering 1stProtect. No new agent on the host. No cloud round-trip. No slowdown.
Direct answer
AgentProtect applies runtime guardrails using user-space interception on the single SIGMA engine, so every action is evaluated before execution. It can enforce policy online or offline and coordinate with the on-host MCP gateway to preserve forensic context, reducing false positives while stopping unauthorized behavior at the action layer.
An AI agent isn't malware and it isn't a user. It's trusted software you authorized, doing unpredictable things with the access you granted it. One poisoned prompt can turn a helpful agent into a harmful one — and the tools you already own can't see it coming:
It reads the words and tries to predict trouble. But prompts lie, injections evolve, and the damage doesn't happen in the prompt — it happens in the action.
It looks at your agent, sees a legitimate process, and waves it through — then alerts after the fact, far too slow to stop a machine-speed action.
AgentProtect controls what the agent actually does, not what it says it will do.
How it works
Define what each agent — or class of agents — is allowed to touch: which files, which shell commands, which tools, which networks and egress paths. Least-privilege, expressed as policy.
AgentProtect watches each action an agent takes through the SIGMA engine. The moment an agent steps outside its boundary — exfiltration, an unauthorized command, a credential grab, an injection — that single action is killed in under 100ms. The agent's legitimate work continues uninterrupted.
Every agent action is captured as an immutable forensic record by the on-host MCP AI Investigator — locally, with zero cloud latency, even fully offline. You can always answer "what did that agent actually do?" for the board, the auditor, or the incident review.
One engine. Every agent action governed.
It directs the 22 Protect modules already in the SIGMA engine at the agent. An autonomous agent is a process that reads files, runs shells, calls tools, and moves data. These are the controls that bound it:
Move or leak data over network, USB, or clipboard
DataProtect · ExfilProtect · DeviceProtect
Run shell commands outside its remit
ShellProtect
Act on a hijacked or injected instruction
CallChainProtect · InjectProtect
Reach for credentials, sessions, or AD
CredentialProtect · IdentityProtect · ADProtect
Drive a browser or hit a malicious URL (computer-use agents)
AppProtect · BrowserProtect · URLProtect
Tamper with the host or the enforcement layer itself
RootProtect · SelfProtect
Trigger a destructive or wiper-style action
RansomProtect · WiperProtect
One open SIGMA engine, user-space, Microsoft-compliant. No kernel modules. No sidecars. No conflicting policies.
Deploy without breaking anything
AgentProtect ships in Audit Mode by default. Watch exactly what your agents do — and exactly what AgentProtect would block — without terminating a single action. Baseline your environment, whitelist legitimate agent behavior, then flip to Enforcement Mode with one config change.
No slowdown
<1% CPU overhead · <100ms enforcement latency
Works anywhere
Cloud · on-prem · Kubernetes · 100% offline / air-gapped
Your data stays on your metal
Raw telemetry never leaves the device · TLS 1.3 · SOC 2 Type II · ISO 27001
AgentProtect governs the autonomous agents operating in your environment — coding agents, ops agents, computer-use agents, MCP copilots. Every action stays inside the boundary you set.
Paired with AI Model Protection, the same SIGMA engine also defends the LLMs, inference engines, and agents you build against prompt injection, model theft, and exfiltration — so you're covered on both sides of the agent.
AI Model ProtectionBuilt by the people who built the industry
1stProtect's team comes from CrowdStrike, SentinelOne, Check Point, Splunk, Cisco, Oracle, McAfee, Symantec, and NTT Data — the engineers who defined modern endpoint security, now building the control layer for the autonomous era.
We'll deploy in Audit Mode and show you, in your own environment, exactly what your AI agents are doing — and exactly what you'd want to stop.
Product FAQ
AgentProtect is a runtime control layer for autonomous AI agents — coding agents, ops agents, computer-use agents, and MCP copilots. It sets the boundary each agent must stay inside and enforces it at the action level in under 100ms, so unauthorized actions are stopped before they happen, not detected after.
Prompt filtering reads words and tries to predict intent. AgentProtect controls what an agent actually does — intercepting system calls, file reads, shell executions, and network egress at the OS level, regardless of what the prompt said. Prompts can lie; actions cannot.
Yes. AgentProtect is specifically designed for MCP-connected copilots and agents. It intercepts tool calls and enforces policy on every action an MCP agent attempts, including file access, shell commands, and network connections.
Yes. Policies are cached locally and the SIGMA engine runs entirely on-device. AgentProtect enforces agent boundaries with 100% offline operation and no cloud round-trip required.
AgentProtect ships in Audit Mode by default. In this mode it observes and records every agent action — and reports exactly what it would block — without terminating anything. This lets you baseline your environment and whitelist legitimate behavior before switching to Enforcement Mode with a single config change.
For your security & engineering team
AgentProtect is a policy and enforcement layer over the single user-space SIGMA engine: open-standard detection, 22 Protect modules, syscall-level enforcement at <100ms with <1% CPU, on-host MCP AI forensics, offline-first with P2P mesh, and zero-touch deployment via Helm/DaemonSet and standard MDM (Jamf, Intune, Kandji). Streams high-fidelity telemetry to Splunk, Datadog, Elastic, and your SIEM/SOAR via JSON, gRPC, MCP, or Syslog.