solutions · security teams

Detection from inside the kernel, without the SIEM pipeline.

One agent watches your Linux servers with eBPF: SSH sessions, spawned processes, listening ports, file changes, rootkits, crypto miners. Events map to MITRE ATT&CK, AI reads each one in context, and the few that matter page a human through a real escalation policy.

Start free See eBPF security monitoring

Free plan · no card · commercial use allowed

sound familiar?

Most server security work is plumbing, not security.

A log pipeline before the first answer

Shipping logs, running a SIEM, learning its query language - all before you can answer "who logged into that box?". The agent collects at the kernel and answers arrive triaged, with evidence attached.

Alert fatigue by design

Host intrusion tools that page on every package upgrade train the team to ignore them. AlertKick dims the routine into a filtered counter and promotes real threats - with the AI verdict explaining why.

A file changed. Who changed it?

Config drift with no author is a finding you cannot close. Every SSH session, command, and file change is attributed to who did it, whether human, pipeline, or AI agent, and checked against maintenance windows.

what you get

Detect, attribute, and actually get paged.

Detection is only half the job. The same platform carries the alert through rosters and escalation policies, so a real intrusion wakes a person - not a dashboard.

eBPF security monitoring

Kernel-level visibility with no kernel modules and no log shipping: intrusions, SSH logins, rootkits, crypto miners, and file integrity - installed with one command per server.

See eBPF security monitoring

MITRE ATT&CK mapping

Detection rules map to ATT&CK techniques, so an event arrives labelled with the tactic it represents rather than a raw syscall to interpret.

See ATT&CK coverage

Change tracking and attribution

Every SSH session, command, and file change tied to who did it and whether it was authorized - built for fleets where humans, pipelines, and AI agents all touch production.

See change tracking

Escalation when it matters

A confirmed threat does not sit in a queue. It pages the person on call over push, SMS, Slack, Telegram, or WhatsApp, and keeps climbing until someone acknowledges.

See alerting and escalation

89,959

events observed on one customer fleet

27

alerts a human was asked to read

1 : 3,300

interruptions to events

Twenty-seven alerts in three months from ninety thousand events is the difference between a team that reads its notifications and a team that has learned to ignore them. Read the full story.

Questions security teams ask

Does this replace a SIEM?
For server security on a lean team, usually yes - it replaces a host intrusion detection tool plus the log pipeline you would otherwise build to feed one. Events are collected, triaged, and retained with evidence attached, without a query language to learn.
What does the agent actually see?
System calls, as they happen: SSH sessions, spawned processes, opened listening ports, file changes, and container shells. Detection runs via eBPF at the kernel - no kernel modules, no noticeable overhead.
How does AI triage work?
AI reads each event in context before anything reaches a human - a deploy key logging in during a CI window is routine, the same key at 3 AM from a new address is not. Routine events are filtered with the reasoning recorded; real threats become alerts with a plain-English verdict.
We have AI agents operating servers. Does that break attribution?
No - it is the reason change tracking exists. Sessions, commands, and file changes are attributed to human, pipeline, or AI agent, and an open-source MCP server lets your own AI tools query and act on alerts.

Know the moment someone breaks in.

One command per server, and events with AI verdicts start arriving in about 30 seconds. Free plan, no card, no sales call.

Start free

free plan · no card · commercial use allowed