For compliance & security teams

Continuous posture — and governance for your AI agents

Your engineers ship with AI and now deploy AI agents that touch production data and credentials on their own. KollGuard continuously scans your systems for SOC 2 / HIPAA gaps, assembles audit-ready evidence, and watches the AI agents themselves — health, behavior drift, and security — all mapped to the same controls.

  • Continuous scheduled scans + Slack-compatible alerts
  • Audit-ready evidence packages + hash-chained audit log
  • Agent Watch: monitor every AI agent you deploy
  • Vendor risk posture with an onboarding gate
  • Documented accepted-risk that satisfies auditors
  • Public Trust Center to share posture without leaking specifics
Frameworks covered:SOC 2HIPAAISO 27001NIST 800-53HITRUSTPCI DSS

Why security & compliance teams pick KollGuard

  • The one tool that scans the systems you built and the AI agents you deploy — and maps both to your controls.
  • AI agents are non-human users of your systems; KollGuard gives each a tamper-evident run history and raises health and behavior-drift alerts.
  • Evidence is assembled continuously, so a customer security review or an incident never catches you scrambling.
  • Read-only, least-privilege, revocable API keys let your developers’ AI agents act on findings — without you losing control of the data.

Security & compliance guides

Frequently asked

Do AI agents fall under SOC 2 or HIPAA?
If an agent touches in-scope data (PHI, cardholder, customer data) or holds production credentials, its activity falls under SOC 2 CC6/CC7 and HIPAA §164.312 audit controls. KollGuard’s Agent Watch records each run and maps it to those controls, so the run history becomes audit evidence.
How does KollGuard handle continuous monitoring?
Targets can be scanned on a schedule (daily/weekly), with alerts to a Slack-compatible webhook when findings meet your severity threshold — so posture stays current, not just at audit time.
Can we share posture with customers without exposing details?
Yes — the public Trust Center shows per-framework pass ratios and monitoring status with no asset names, project names, or individual findings.

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