If you already know the right question to ask, a human would have already built the workflow. Agentic AI is not about generating prettier reports or writing tickets faster — it is about unlocking autonomous, measurable risk reduction. Qualys ships Cyber Risk Agents as out-of-the-box agents purpose-built for specific risk outcomes, not as a chatbot overlay waiting for a prompt.
Agent Nyra — Threat-Based Prioritization. Aligns risk posture with active industry threats; highlights only the security gaps attackers are currently weaponizing. Outcomes: 85% monitoring of trending threats, 22% reduction in cyber risk, 30% faster adversary risk mitigation.
Agent Sara — Patch Tuesday Sidekick. Identifies monthly Patch Tuesday updates, maps impacted assets and high-priority CVEs, and creates targeted remediation jobs for testing and production environments. Outcomes: 15% TruRisk points eliminated, 75% faster patch closure, 30% faster adversary risk mitigation.
Agent Nova — External Attack Surface. Hacker’s-eye view of your internet-facing assets, revealing toxic combinations of open ports, listening services, risky vulnerabilities, and business context. Outcomes: 25% unknown-asset discovery, 15% hidden-risk reveal, 90% faster detection of risk.
Agent Sophia — CISA KEV & Ransomware Defense. Eliminates the vulnerabilities that actually cause breaches. Aligns your environment with CISA mandates, isolating Known Exploited Vulnerabilities (KEVs) and confirmed ransomware vectors for immediate remediation. Outcomes: 99% visibility of internet-facing assets, 60% reduction in noise, 4x faster detection for critical CVEs.
Agent Sid — Hacker’s-Eye View of your risk. Continuously monitors your external attack surface — high-risk exposures and toxic combinations of risky open ports, exposed databases, expired certificates, vulnerable services — reducing your MTTD. Outcomes: 15% TruRisk points eliminated, 75% faster patch closure (MTTR), 30% faster adversary risk mitigation.
Agent Val — Safe Exploit Validation with Proof. Validates whether high-risk exposures are exploitable in production using attacker-technique testing. Removes theoretical risk, proves control effectiveness, and gives Security and IT Ops shared evidence to minimize change friction with suppressed noise. Outcomes: 90% reduction in remediation noise, 55% reduction in TruRisk score, 70% manual-effort reduction.
Agentic AI is what makes the “close the loop attackers can’t outrun” promise operationally real. It is the layer that takes Hyper-Prioritization to a validated, remediated, re-verified outcome — without humans approving every step.