Zero-Day Remediation Meets Operational Resiliency | Qualys

How TruRisk Eliminate Closes the Exposure Window, Safely, At Machine Speed

The rules of vulnerability management have fundamentally changed. In the Frontier AI era, vulnerability volume is surging, and exploitation no longer lags behind disclosure. Zero-day conditions have become the norm rather than the exception: the volume of CISA-known exploited vulnerabilities has increased by 6.5x over the past four years, and that volume seems set to continue to rise sharply, as evidenced by a monumental 570-vulnerability Patch Tuesday in July. At the same time, the time to exploitation has collapsed to minus 7 days: vulnerabilities are being weaponized before organizations can even patch them.

Traditional vulnerability management programs were never designed for this reality. Monthly patch cycles, manual triage, and change advisory boards built for predictable risk environments cannot operate at the speed of AI-driven threat discovery and exploitation.

The challenge has shifted from visibility to precision: identifying which exposures matter and eliminating them before attackers act.

That requires a new operating model that:

• Detects threats at AI speed
• Hyper-prioritizes the small fraction of vulnerabilities that are truly exploitable
• Remediates or mitigates those exposures immediately

This is the foundation of autonomous remediation.

New to Qualys? Start your free trial of TruRisk Eliminate. Discover how autonomous remediation can help you close exposure windows before attackers act.

To operate safely at machine speed, organizations must be able to answer four questions:

1. Can we predict whether a patch is safe before deployment? For a program to run smoothly, it needs to know which patches are safe before they touch production. Deploy blind at scale, and a single bad patch can cause more disruption than the vulnerability it was meant to fix.
2. How can we remediate if no patch is available or the patch is unreliable? Many actively exploited vulnerabilities have limited or delayed patch availability options. If the only remediation path is “wait for a fix,” exposure remains open. Security programs need a way to reduce risk immediately, patch or no patch.
3. Can we deploy in phases from the least critical to the most critical assets? Remediation at scale must be staged. Without progressive, observable, gated rollout, one bad update doesn’t stay contained; the blast radius grows faster than anyone can respond.
4. Can we revert our remediations in case of unusual behavior? When issues occur, recovery speed defines the impact. Rollback decisions must be data-driven and automatic, triggered the moment drift is detected.

Autonomous remediation is a new operating model. These four questions are the foundations every autonomous remediation program should be able to answer to operate safely at machine speed.

TruRisk Eliminate offers the operational resilience needed to stay ahead in the Frontier AI era: the ability to remediate at machine speed without production ever taking the hit. It delivers that through predictive intelligence, controlled execution, AI-driven decisioning, and built-in recovery.

Qualys AI-Powered Patch Reliability Score: Know Patch Stability Before You Deploy

Every IT and security team asks the same question right before a rollout: What are the chances this patch breaks something? Until now, the answer came from the release notes, community forums, and internal testing cycles that stretched far longer than the vulnerability window they were meant to close.

Qualys’ AI-Powered Patch Reliability Score changes that.

Our AI model continuously ingests and analyzes large volumes of real-world patch deployment telemetry, including technical discussions, vendor advisories, and community reports, to produce an actionable score: High Reliability or Low Reliability. The score is available immediately after a patch is released and updates continuously as evidence accumulates.

“Patch management isn’t just about speed anymore. It’s about predictability. With AI-powered Patch Reliability Scoring, customers can expect less guessing, fewer rollbacks, and better security outcomes — Lavish Jhamb, Product Management, Qualys.”

Patchless Patching: Close Exposure When Patch is Not an Option

Not every vulnerability has a patch available. When fixes are delayed, incomplete, or unavailable, exposure doesn’t pause, and the gap can look a lot like a zero-day, even when the CVE has been public for weeks. In large enterprise environments, that gap can leave a significant share of the asset base sitting exposed.

TruRisk Eliminate closes that gap without waiting for a patch, offering five ways to remediate immediately:

• Mitigate — Reduce exposure through controlled changes when patching is delayed or introduces risk.
• Customize — Leverage a library of remediation scripts or create your own mitigations and remediations.
• Uninstall — Remove EOL/EOS software, unauthorized software, unused software, or bloatware from servers, eliminating the entire vulnerability surface.
• Fix — Apply configuration-based fixes, validated by Qualys experts, when no patch exists.
• Isolate — Contain vulnerable assets to prevent threat spread, as a last resort, while preserving visibility and remote management.

TruRisk Eliminate recommends the best course of action for each vulnerability based on risk and operational context.

Rollout has to be staged because critical assets can’t absorb a bad patch all at once. That staging only works if security priorities translate cleanly into IT Ops instructions, if analysts are freed from manual triage long enough to actually patch, and if the actual share of findings that need something other than a standard patch is still accounted for.

Agent Sara operationalizes every remediation decision. She interprets each exposure, maps it to the right remediation path, and executes it through TruRisk Eliminate, sorting the backlog into four remediation waves:

• Easy Fixes — High-reliability patches deploy autonomously, staged through progressive rings so every change is observed and validated before it reaches the next tier: Pilot, Ring 1, Ring 2, Broad deployment.
• Connectivity-Sensitive — Sequenced carefully to protect systems where network dependencies carry the most risk.
• Operational Risk — Held for closer validation given the elevated business impact before execution proceeds.
• Beyond Patching — Routed to the patchless remediation path built for the exposure.

Each wave acts as a checkpoint. A wave that returns a Low Reliability signal pauses progression automatically, containing the blast radius to the smallest possible set of systems before the change reaches the broader fleet.

AI-Guided Rollback, Natively Built for Resilience

Every patch deployment carries inherent risk, and problems often surface only after the patch is already in the wild. When something breaks, the team scrambles under pressure.

Rollback is too often an afterthought: contingency logic written, tested, and executed only when something goes wrong, relegated to the “just in case” category.

TruRisk Eliminate pre-stages rollback readiness before every deployment, giving recovery a plan in place from the start. The moment drift is detected, rollback triggers automatically, evaluated against real-time environmental context:

• What changed
• Which assets are affected
• Whether dependencies introduce additional risk
• What recovery paths are safest per cohort

Recovery becomes a structured, data-driven decision, ready before the first patch ever ships. The same intelligence that prevents unstable deployments also guides recovery when it occurs.

Peer-to-Peer Patch Distribution: Bandwidth Optimization Built for the AI Era

With roughly 59,000 CVE disclosures forecast for 2026 and exploit windows collapsing to hours, the fix has to reach every endpoint just as fast as it’s found. While a validated patch sits in a download queue, waiting for thousands of endpoints to pull it one by one, the vulnerability it was meant to close stays wide open. Attackers don’t wait for your Content Delivery Network to catch up.

Qualys P2P closes that gap by turning every endpoint into part of the delivery network, available now in Qualys Cloud Agent for Windows 6.5. The first machine to receive a patch doesn’t just install it. It becomes a source for peers around it, passing the fix across the network segment rather than forcing every device to queue at the same external door. Each piece is checked against a cryptographic fingerprint before it’s accepted, so speed never comes at the expense of trust.

The effect compounds: patch delivery up to 25x faster, with more than 99% less external bandwidth burned per fleet. The more endpoints that join in, the faster the fix spreads, and the smaller the window an attacker has to find the one machine that hasn’t yet caught up.

Pair TruRisk Eliminate with Qualys ETM, and its agentic AI unlocks its full autonomous remediation capabilities.

Agent Val continuously evaluates which vulnerabilities are truly exploitable in production, using validation-driven analysis. Powered by TruConfirm, it verifies exploitability safely in real environments, cutting large vulnerability sets down to a small number of confirmed, actionable exposures, so remediation stays focused on what actually matters, not what merely looks urgent.

Together, Agent Val and Agent Sara, orchestrated through Qualys ETM, close the loop:

Detect → Validate → Prioritize → Remediate → Confirm Closure

Autonomously, and continuously.

At enterprise scale, resilience is measured in outcomes. In the past year alone, 150 million patches were deployed through Qualys systems, with 40 million executed fully autonomously, and a rollback rate below 0.1%.

Deploy high-confidence patches immediately and stage lower-confidence changes through confidence-based deployment. Unpatchable exposures are redirected into alternative remediation paths. Every path, whether autonomous, staged, or redirected, still holds production steady, which is what operational resilience actually means at this scale.

This is recognized as production-scale operational execution. TruRisk Eliminate was named a Leader in the 2025 GigaOm Radar for Patch Management Solutions, evaluated across identification, prioritization, deployment resilience, and verification.

This is what closing the gap between AI-speed exploitation and enterprise-speed remediation actually looks like: built for the era that broke the old process.

Already a Qualys customer? Reach out to your Technical Account Manager (TAM) to learn how to maximize the value of TruRisk Eliminate in your environment.

Q: What is autonomous remediation, and why is it needed now? 

Autonomous remediation uses AI to detect, prioritize, and remediate vulnerabilities at machine speed with built-in safety controls. It is needed because in the Frontier AI era, traditional monthly patch cycles cannot keep pace with the speed of modern threats.

Q: How does the AI-Powered Patch Reliability Score work? 

The score predicts whether a patch is likely to cause instability before it is deployed. Our AI model continuously ingests and analyzes large volumes of real-world patch deployment telemetry, including technical discussions, vendor advisories, and community reports, to produce an actionable score.

Q: What happens when no reliable patch is available? 

TruRisk Eliminate offers multiple patchless remediation options, including mitigation through configuration changes, custom remediation scripts, uninstalling vulnerable or EOL software, applying expert-validated configuration fixes, or isolating the asset as a last resort. These paths reduce exposure immediately while maintaining operational control.

Q: How does TruRisk Eliminate work with the rest of Qualys ETM? 

TruRisk Eliminate serves as the execution layer, while Agentic AI (Agent Val and Agent Sara) provides orchestration through Qualys ETM. Agent Val uses TruConfirm to validate which vulnerabilities are truly exploitable, and Agent Sara executes the appropriate remediation path.