Sekoia Highlights Six Integrations for Adding Context to AI SOC Investigations

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Summary

Sekoia describes six integrations that bring identity, vulnerability, credential-abuse, incident-response, cloud-runtime, and network context into its AI SOC platform, alongside its claims about private AI infrastructure and analyst oversight.

Key points

  • The integrations connect Silverfort identity protection and Holm Security vulnerability data to Sekoia investigations.
  • Mokn contributes organization-specific intelligence from attempts to validate stolen credentials against an identity provider.
  • ilert routes confirmed investigations to on-call responders and carries investigation context into incident response.
  • Upwind supplies cloud runtime findings, while Akamai Guardicore contributes network activity and microsegmentation context.
  • Sekoia says its platform runs AI computations on its own hosted infrastructure and keeps findings reviewable, overridable, and traceable by analysts.
  • The company says its platform has more than 320 integrations and is designed to work with an organization’s existing security tools.

Article Details

Event Type
Sekoia article describing six security integrations connecting identity protection, vulnerability management, identity recovery, incident management, cloud security, and microsegmentation capabilities to its AI SOC platform.
Impact
The integrations are intended to add contextual security telemetry and threat intelligence to investigations, improve visibility across environments, and help analysts and AI agents investigate and respond to alerts more effectively. The article describes capabilities and expected benefits, not a specific confirmed security incident or measured outcome.

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