AI that does the work
Other platforms use AI to score, suggest, and summarize. Kiyadata's AI assists your analysts by researching CVEs, suggesting verification commands, auditing remediation tickets, and eliminating the operational overhead that bogs down every security team. Your analysts stay in control -- AI cuts their research time.
Your analysts shouldn't be doing paperwork. AI should.
Security teams lose most of their time to operational overhead -- verifying scanner results, following up on remediation tickets, chasing stale tasks, checking SLA compliance. None of this requires security expertise. It requires persistence, consistency, and scale. That's exactly what AI agents deliver.
How AI verification actually works
Follow a single CVE from scanner finding to verified verdict.
Scanner flags CVE-2024-3094 on plant-fw-paris-01
Qualys reports CVSS 9.8. 1,200 other assets have the same finding. Without verification, your team treats all 1,200 as critical.
AI researches the CVE
The agent queries NVD for affected versions, checks Red Hat advisories for backported patches, searches Exploit-DB for weaponized code, and reviews CISA KEV for active exploitation signals.
AI suggests verification commands
Based on the CVE's attack vector, the agent generates targeted checks: package version queries, file hash validation, network path tests. Your analyst reviews and approves execution with a single click.
Verified verdict delivered
The vulnerability is confirmed or dismissed with evidence. Confidence score, check results, and full reasoning are logged. Your analyst reviews the verdict in seconds instead of investigating for 45 minutes.
Live demonstration of AI verification workflow
Three AI agents. One mission: free your team.
CVE Verification Agent
When a scanner flags a CVE, the AI does the research your analyst would spend 45 minutes on. It queries the National Vulnerability Database, cross-references vendor security advisories, checks exploit databases for weaponized code, and reviews CISA KEV for active exploitation status. Then it generates a set of verification commands specific to the CVE and the target asset -- ready for your analyst to review and execute. The result is a verified verdict with confidence score and full evidence chain, with the analyst in control at every step.
Remediation Ticket Audit
When IT, DevOps, or infrastructure teams close a remediation ticket and mark a vulnerability as resolved, the AI does not take their word for it. It re-inspects the asset, verifies the patch version, checks whether the compensating control is actually in place, and confirms the vulnerability conditions no longer exist. Incomplete fixes are flagged automatically before they become compliance gaps, failed audit items, or re-exploited attack vectors. This happens continuously across every closed ticket in your organization.
Operations Acceleration
The AI handles every piece of operational overhead that slows your security team down. It follows up on stale remediation tickets that have been sitting too long, monitors SLA compliance across departments, escalates overdue items to the right managers, and generates status reports without anyone asking. Your security analysts stay focused on threat analysis and triage while AI handles the tracking, chasing, and administrative work that used to consume half their week.
Ready to take control of your vulnerability operations?
See how Kiyadata connects your tools, maps your attack paths, and empowers every team to remediate faster.
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