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Incident Management and Response

Your on-call engineer wakes up to a root cause, not a graph — context gathered automatically, a fix proposed, nothing applied without a person's sign-off.

Incident Management gathers the context a human would have gone looking for the moment one of your alerts fires — metrics, logs and traces from Grafana, the source of the failing service from GitHub or GitLab, and related tickets from Jira, ServiceNow, Linear, or Azure DevOps Boards — then asks the AI model of your choosing (Claude, GPT, Gemini, Grok, or a privately-hosted endpoint) for a root-cause hypothesis and a fix.

The answer comes back as a ticket, plus a draft pull request when the fix is a code change - never merged automatically. A dedicated Slack incident channel keeps an auto-updating summary as severity, an incident commander, and communications/operations roles get assigned, and a draft postmortem generates itself from the incident's own timeline once it's resolved. An optional public status page - scoped, or token-gated for private updates - keeps affected customers informed without a manual update every time something changes.

Where your policies allow it, narrowly-scoped, dry-run-tested remediation can execute automatically against Kubernetes, AWS, Azure, GCP, or your CI/CD platform (GitHub Actions, GitLab CI, Jenkins, ArgoCD, Terraform Enterprise and more) - every credential resolved just-in-time from Noviqent Vault, never cached or stored locally, with an append-only audit log covering every decision. On-call scheduling and escalation policies route SMS, voice, and email notifications by severity, so paging isn't a separate tool bolted on afterwards. Mapped to SOC 2 (CC6, CC7), ISO 27001 (Annex A.9, A.10, A.12), UK GDPR, DORA, NCSC Cloud Security Principles, and Cyber Essentials.

Features

Pricing

Pricing depends on connected alert volume and your chosen AI provider — get in touch for a quote. Available as SaaS or fully self-hosted on-premises with flat licensing.

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