Qualys helps CISOs close the detection-to-remediation gap before AI-speed attacks become a boardroom liability.
In 30 minutes, a Qualys expert will walk you through:
Request your custom AWE briefing
Manage Risk in the Post-Mythos Era
Operationalize your transition to autonomous remediation with Qualys.
Mythos and frontier AI models discover, weaponize, and exploit — no human in the loop, no approval required.
Triage → CAB meeting → change window → patch → validate. Every step requires a human. That gap is your exposure window.
Autonomous Validation Orchestration
Mythos has turned vulnerability discovery into a continuous, automated race. What used to take weeks can now compress into hours, and the volume of disclosures keeps climbing. But the real concern for CISOs is not the flood of findings. It is the small number that are confirmed, weaponized, and reachable in your environment. The window to act is shrinking. The question is whether your program was built to find signal in the noise before an attacker does it for you.
On April 7, 2026, Anthropic announced Claude Mythos Preview, a frontier AI model under Project Glasswing capable of autonomously discovering and exploiting software vulnerabilities. Released as a private beta with selected partners, its goal is to identify and remediate critical vulnerabilities in commonly deployed software before adversaries discover and exploit these.
The result is a new era of accelerated vulnerability discovery, driving a surge in disclosures, patches, and CVEs at a pace security teams have never had to manage before.
Mythos marks a structural shift in vulnerability management: discovery is becoming continuous, automated, and massively scaled. Vulnerabilities that once took human researchers weeks or months to uncover can now be identified and exploited in hours.
This is compressing the exploitation window and accelerating disclosure cycles, creating a growing gap between “vulnerability found” and “risk actually remediated.” At the same time, the volume of findings is increasing dramatically, while only a small fraction of vulnerabilities are ever truly exploited.
Vuln Growth over last 4 years. Frontier AI will accelerate this.
Median Time-to-Exploit frontier AI will shrink this to hours from disclosure.
Median MTTR Frontier AI models will hunt the long tail
Autonomous Validation Orchestration
The patch cycle was built for a world where exploitation took weeks. Mythos compressed it to hours. The model has to change. Autonomous remediation is the new operating model. A closed loop where detection, prioritization, and remediation run at machine speed with human judgment applied where it adds value. This is the shift the board needs to hear is underway.
The new operating model needs a new metric.
MTTR measures how fast you close a ticket. AWE - Average Window of Exposure - measures how long you were actually exposed.
When exploitation runs in hours, AWE is the metric your board will ask for.
Continuous, real-time visibility across your attack surface. New: InstaScan for scanless, minutes-from-disclosure detection, and Total AI 2.0 for AI governance and attack surface visibility.
Outcome – Detection lag eliminated, now including AI exposure.
Millions of findings filtered to what's confirmed-exploitable. New agent-based TruConfirm extends validation to internal assets, covering the full attack path.
Outcome – Focus on proven risk, end-to-end.
Patch and patchless remediation, phased rollouts, rollback if needed. New: wave-based patching assisted by agent Sara, plus an enhanced reliability score blending global intelligence with your own telemetry.
Outcome – 80%+ reduction in MTTR, with tighter control per wave.
From findings to validated risk
Autonomous validation
with <0.1% rollback rate
We've adopted a validated-risk model that surfaces the <1% of exposures genuinely exploitable in our environment and the platform to close them within a day.
We aren't running patch cycles in weeks when exploitation runs in hours.
The Mythos Inflection Point: Dealing With the Upcoming Vulnerability Disclosure Avalanche and Compressed Exploitation Window
Mythos is Anthropic’s frontier AI model, released April 2026, that autonomously discovers and exploits software vulnerabilities at scale. Over 99% of what it has found remains unpatched and undisclosed. Your board has read the headlines — they will ask.
MTTR measures how fast you close a ticket. AWE measures how long you were actually exposed to a confirmed-exploitable risk. When exploitation windows are 18 days and remediation averages 43 days, MTTR flatters. AWE tells the truth — and gives your board a defensible risk metric.
Yes. Qualys TruRisk Eliminate uses AI-powered reliability scoring to classify each patch as high, medium, or low operational risk. High-reliability patches deploy autonomously. Human judgment applies where it adds value. Evidence: 40 million patches deployed autonomously with zero outages in last 12 months.
SEC rules require material cybersecurity incidents to be reported within four business days. The Qualys Risk Operations Center creates a documented, auditable loop — detection, validation, remediation, revalidation — that demonstrates continuous, active oversight to regulators and the board.
