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Detect and Respond

Triage alerts, govern AI usage, and contain compromise across the estate.

Triage the queue, govern what leaves for external models, and contain identity and email compromise before it spreads.

What this category delivers

Three outcomes, not a feature list.

01

Open the alerts that matter

Classification separates real threats from noise, so analysts work ten alerts instead of a thousand.

02

Run the whole response

Purge the mail, block the sender, revoke the session, and record every step of it.

03

See what you could not see

Which AI tools staff actually use, which accounts are behaving unlike themselves, and what left with them.

The agents

4 agents in Detect and Respond

Each one owns its job end to end, with its own pipeline, its own integrations, and its own workspace.

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Detect and Respond

Alert Navigator

Reads every alert your SIEM raises, classifies it, groups what belongs together, and hands your analysts a queue worth working.

  • True and false positive classification. Every alert is classified with a confidence score and the reasoning behind it, so an analyst can agree or override in one click.
  • Case grouping. Alerts that describe one event become one case. The analyst works the case, not twelve copies of the same signal.
  • Automatic enrichment. Every address, domain, hash, and account in an alert is enriched from threat intel and your CMDB before a human sees it.
  • Ticket automation. Confirmed cases open a Jira or ServiceNow ticket with the full evidence trail attached.

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Detect and Respond

Phishing Remediation

Takes a reported message from any source, works out who else got it, and removes it everywhere, once an analyst says go.

  • Multi-source intake. Detections from your mail security platform, messages users report themselves, and manual submissions all become one incident type.
  • Full indicator enrichment. Sender, reply-to, every URL, every attachment hash, and the sending infrastructure, all enriched before triage.
  • Mailbox scoping. Before anything is removed, the agent works out exactly which mailboxes received the message and who interacted with it.
  • Analyst-gated remediation. Purging mail, blocking a sender, and notifying recipients are proposed as a set of actions and wait for approval.

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Detect and Respond

Identity Compromise

Catches impossible travel, MFA fatigue, and credential stuffing, and contains the account before it becomes lateral movement.

  • Takeover pattern detection. Impossible travel, MFA fatigue, credential stuffing, and unfamiliar-infrastructure sign-ins, correlated rather than alerted one by one.
  • Per-account risk scoring. A score per identity that accounts for privilege level, recent behaviour, and whether that account has been targeted before.
  • Cross-agent correlation. A user who clicked a phishing link and then signed in from somewhere new is one story, not two unrelated alerts.
  • Containment on approval. Revoke sessions, force a password reset, require re-registration of MFA, or disable the account. Proposed, then approved.

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Detect and Respond

AI Guardian

Shows you which AI tools your staff use, what they send to them, and gives you the controls to do something about it.

  • Shadow AI discovery. Every AI tool reached from your network or through a corporate identity, including the ones nobody told you about.
  • Prompt inspection. What actually left in a prompt. Sensitive data, credentials, and source code detected in content rather than guessed from a domain.
  • Threat chains. Related AI events linked into one narrative, so a slow exfiltration across many sessions reads as a single story.
  • Prompt injection detection. Injection attempts against your own AI-facing applications, mapped to MITRE ATLAS techniques.

Coming soon

Coming soon

Network Policy Analyzer

Firewall rule analysis, segmentation review, and access-policy conflict detection.

Coming soon

Penetration Testing

Engagement orchestration: reconnaissance, attack-path mapping, sandboxed validation, and remediation guidance.