AI Models
AI for Security

Detect, triage and respond before it matters.

Give security teams an analyst that never tires — summarising alerts, enriching context and drafting response actions for human approval.

Start free Talk to an expert
Security assistant
Summarise this alert cluster and recommend next steps.
Likely credential-stuffing attempt against one login endpoint. No successful sign-ins detected. Recommended: rate-limit the source range and force resets for 3 targeted accounts — awaiting approval.
Ask anything…
The challenge

What holds security teams back

  • Alert overload

    Analysts drown in signals with too little context.

  • Skills shortage

    There are never enough experienced analysts.

  • Slow reporting

    Incident write-ups take time away from response.

Use cases

Six ways to put AI to work, today

Detect, triage and respond before it matters.

  • Alert triage

    Summarise, prioritise and explain alerts.

  • Threat research

    Brief analysts on indicators and techniques.

  • Log analysis

    Ask questions of logs in plain language.

  • Playbook automation

    Agents run response steps with approval.

  • Incident reports

    Clear timelines and summaries for stakeholders.

  • Policy Q&A

    Answers grounded in your security policies.

How it works

From first prompt to everyday workflow

  1. 01

    Connect signals

    Alerts, logs and threat intel.

  2. 02

    Triage

    Agents summarise and prioritise.

  3. 03

    Respond

    Approved playbook actions.

  4. 04

    Report

    Incident write-ups and lessons learned.

Agents & skills

Agents built for security

Give an agent a goal and it plans the steps, uses the skills you grant and reports back — with approvals wherever you want a human in the loop.

  • Alert triage: Summarise, prioritise and explain alerts.
  • Threat research: Brief analysts on indicators and techniques.
  • Log analysis: Ask questions of logs in plain language.
Explore agents
Agent run · live

  1. Understand

    Intent & context

    Done

  2. Plan

    Break into steps

    Done

  3. Act

    Run skills & tools

    Running

  4. Deliver

    Verified result

    Queued
Outcomes

What changes when you switch it on

  • Outcome 1

    Faster triage

    Context arrives with the alert.

  • Outcome 2

    Stronger teams

    Every analyst works like a senior one.

  • Outcome 3

    Clearer reporting

    Leadership stays informed, effortlessly.

Under the hood

Foundational models, plus proprietary architecture

Every leading open model family, made sharper by the layer we built around them.

  • Routing

    The best model for each request, automatically.

  • Memory

    Your security context, remembered securely.

  • Skills

    Search, read, write and call your own tools.

  • Agents

    Goal-driven workers with guardrails.

Security posture

All controls healthy

Continuously monitored

  • Encryption in transit & at rest
  • SSO & scoped API keys
  • Audit logs for every action
  • Your data never trains shared models
Security & control

Enterprise-grade from day one

  • Your data is never used to train shared models
  • Encryption in transit and at rest
  • Roles, scoped API keys and approval steps
  • Audit logs, SSO and private deployment options on higher plans
Read about our security →
FAQ

Security questions, answered

Will agents take action automatically?

Only with your approval. Sensitive steps always pause for an analyst.

Can it access our security tools?

Yes, via skills and the API, with scoped permissions.

Is our data isolated?

Workspaces are isolated, with private deployment on Enterprise.

Are actions auditable?

Every step is logged; audit logs are available on Scale and above.

Bring AI to security — today

Start free with 2M tokens every month. Upgrade when you are ready.

Start free See pricing

Related solutions