An AI security analyst on every endpoint — not in the cloud.
AIProtect is an autonomous AI investigator that runs right on the machine. It watches every action by every agent, process, and user, and decides in real time whether something is an attack — reasoning over the complete picture, not the partial logs a cloud service sees. It's the power of an AI SOC, without the cloud bill and without the flood of false alarms.
Part of the 1stProtect platform. One runtime policy model across multiple protection surfaces.
Direct answer
AIProtect 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.
The promise of an AI SOC is appealing: let an AI triage the endless flood of alerts so your team doesn't have to. But doing it from the cloud breaks down in two expensive ways:
A cloud AI SOC can only investigate the logs you send to it — a partial, filtered slice of what actually happened on the machine. Working from incomplete context, it guesses. And guessing buries your team in false positives.
Shipping every log to the cloud — plus the compute and storage to analyze it all — gets expensive fast. You're paying a premium for an investigation that's still working half-blind.
AIProtect runs the investigation where the truth actually is: on the machine itself.
How it works
AIProtect works from a complete, on-device record of every action by every agent, process, and user — the full context, never a shipped fraction of it.
An AI investigator — using a local or remote model, your choice — examines suspicious activity the instant it happens and decides whether it's malicious. Think of an AI SOC analyst sitting directly on the endpoint.
Because it reasons over the whole picture instead of partial logs, AIProtect reduces false positives so your team spends its time on real threats, not noise.
One runtime policy model.
It's powered by the rest of the platform. Everything the other engines observe — the actions ShellProtect, CredentialProtect, ExecutionProtect, and the others watch — becomes the complete context AIProtect reasons over. One engine, one complete record, all on the device.
What you get:
Live product evidence
Operational posture and risk trends in the 1stProtect console.
Why it beats a cloud AI SOC
What it analyzes
Partial logs shipped to the cloud
The complete record, on the machine
Where it runs
The cloud, after the fact
On the endpoint, in real time
False positives
High — it's reasoning on incomplete data
Lower, because it has the full picture
Cost
Log shipping + cloud compute + storage
Lower cloud log and compute dependency
Your data
Leaves your environment
Never leaves the machine
No cloud required
AIProtect ships in Audit Mode by default. Watch exactly what your on-device AI investigator is analyzing — and the verdicts it's reaching — without taking any action. Baseline your environment, tune the model, then flip to Enforcement Mode when you're ready. Use a local model for complete isolation, or a remote one if you prefer. Either way, the data stays yours.
No slowdown
User-space runtime verdicts on local context
Works anywhere
Cloud · on-prem · Kubernetes · local policy enforcement in disconnected environments
Your data stays on your metal
Raw telemetry never leaves the device · TLS 1.3 · SOC 2 Type II · ISO 27001
Built by the people who built the industry
1stProtect's team includes operators from global enterprise security, cloud, telecom, and incident response programs — the engineers who helped shape modern endpoint security, now building runtime protection for what comes next.
We'll deploy it and show you, in your own environment, how an on-device AI investigator decides what's real — and how little it gets wrong.
Product FAQ
AIProtect is an autonomous AI investigator that runs directly on the endpoint. It reasons over a complete local record of every agent, process, and user action to produce real-time maliciousness verdicts — without shipping logs to the cloud.
A cloud AI SOC only sees the logs you ship to it — a partial, filtered slice of what actually happened. AIProtect works from the complete, on-device record of every action, so it reasons over full context rather than guessing from incomplete data. This reduces false positives and avoids additional cloud log-shipping, compute, and storage dependencies.
No. AIProtect investigates entirely on the endpoint. Raw telemetry never leaves the device. You can choose to use a local LLM model for complete isolation, or a remote model if you prefer — either way, the investigation data stays on the machine.
Because it reasons over the complete picture. Cloud AI SOC tools guess from partial, filtered logs. AIProtect has every agent, process, and user action on the machine in its context, so it can distinguish genuine attacks from legitimate behavior with higher accuracy.
For your security & engineering team
AIProtect is an on-host autonomous AI investigator that reasons over a complete local record of agent, process, and user activity — using a local or remote LLM — to produce real-time maliciousness verdicts without shipping logs off the device. By investigating against full local context rather than the partial, filtered telemetry a SaaS AI SOC receives, it sharply reduces the false positives that incomplete-context analysis produces, while eliminating cloud log-egress, compute, and storage costs. Verdicts and forensic context are available on-host and stream to your SIEM/SOAR (Splunk, Datadog, Elastic) via JSON, gRPC, MCP, or Syslog. Available now (agent 1.0.74), Pro and Max tiers.