watchTowr Recognized as a Sample Vendor in Gartner® Emerging Tech — Agentic Security: Preemptive Exposure Management Demands AI-Driven Validation and Autonomous Interdiction
watchTowr has been recognized as a Sample Vendor in the 2026 Gartner® Emerging Tech — Agentic Security: Preemptive Exposure Management Demands AI-Driven Validation and Autonomous Interdiction research note, published September 2026.
The note is written for product leaders building exposure management platforms. We believe its argument applies just as directly to the security teams who depend on those platforms when a critical vulnerability is disclosed.
The following is our analysis of how we see the shift Gartner® describes in the 2026 Emerging Tech — Agentic Security: Preemptive Exposure Management Demands AI-Driven Validation and Autonomous Interdiction research, and how we believe the watchTowr Platform has been built to deliver against it.
Discovery and Risk Scores Are Insufficient
Gartner states “As attackers use advanced AI to find and exploit vulnerabilities faster than organizations can patch them, prioritizing exposures based solely on inferred risk is no longer enough.”
Among its key findings, Gartner says, “AI-driven attacks make discovery, visibility and risk scores insufficient as standalone security outcomes.”
A ranked list of exposures shows a security team where risk might exist. It does not show whether an attacker can use that exposure today, or what can be done before the next change window. Gartner states “Preemptive exposure management builds on exposure assessment but is defined by what it does next.” In the research note, Gartner describes what comes next: “It validates whether exposures can contribute to a viable attack path through adversarial testing or predictive attack-path modeling. It then uses targeted runtime controls to disrupt or neutralize validated attack paths while root-cause remediation is pending.”
We agree: discovery, visibility and risk scores are insufficient as outcomes in today’s era of AI-driven exploitation and weaponization timelines.
The blunt reality is clear, in our opinion: AI has changed how attackers work, vulnerabilities are now reproduced and weaponized faster than ever, and the volume keeps climbing in what many now call the vulnpocalypse. When in-the-wild exploitation can begin in as little as four hours, recommendations and guidance are too slow. Someone still has to read them, decide, and act, and attackers do not wait for that. In our view, a real Preemptive Exposure Management solution identifies exposure, then takes action.
For the watchTowr Platform, that action is autonomous mitigation via Active Defense.
The Patching Gap, in Numbers
Exploitation is now measured in hours, and remediation is still measured in weeks.
The 2026 Verizon Data Breach Investigations Report found that:
- Vulnerability exploitation is now the most common initial access vector in breaches, at 31%.
- Organizations take a median of 43 days to remediate a known-exploited vulnerability, up from 32 days the year before.
- Only 26% of known-exploited vulnerabilities were fully remediated.
AI is widening this gap from both ends. Attackers use it to find and weaponize vulnerabilities faster, and the same acceleration means more vulnerabilities landing on defenders’ patch queues.
None of this is a failure of effort. Patches need testing, change approvals, and scheduled maintenance windows, and those steps protect production systems for good reason. The result is a period where an organization knows it is exposed but cannot yet fix the underlying flaw. Attackers work inside that period.
Evidence of Exploitability, Not Inferred Risk
The research note draws a clear line between prioritization and validation. In our view, prioritization ranks exposures by relative risk and stops there. Validation establishes whether an exposure can actually contribute to a viable attack path. In Gartner’s words, “Adversarial exposure validation tests whether the path can be exploited.”
Gartner also warns that “Without this evidence, exposure management risks becoming “just another dashboard” that identifies more problems without helping organizations determine which ones require immediate action.”
When a new vulnerability is disclosed, the first question for any security team is the same: “Are we affected?” AI-Driven Rapid Reaction delivers AI-driven exposure validation for emerging threats. As soon as a threat emerges, it analyzes and reproduces the threat, then determines whether it impacts the organization. Security teams get an answer based on validated exposure, along with a clear next step.
Autonomous Mitigation While Remediation Catches Up
One of the most useful concepts in the research note is threat debt. Describing the constraints that keep remediation pending, Gartner states, “These constraints create threat debt, the portion of technical debt that remains exploitable by adversaries while remediation is pending.”
Gartner states, “In this context, remediation fixes the underlying flaw, while interdiction neutralizes the path that makes the flaw dangerous.”
We see Active Defense as our approach to autonomous interdiction. Active Defense pushes autonomous mitigation rules to the network edge after exposure is identified, well inside the AI-driven weaponization window. Patch cycles still run on their own schedule, but exposure is closed without waiting.
Consider an exposure identified at 2 a.m. If the response is a recommendation waiting in a queue, the security team wakes up at 7 a.m. to a window that attackers have had hours to use. With autonomous mitigation, Active Defense acts as soon as AI-Driven Rapid Reaction identifies the exposure, so the team wakes up to mitigation already in place rather than a fire.
Active Defense now provides four categories of mitigation, tailored to the specific finding:
- Emerging Threat Mitigation: mitigation rules for the WAF, CDN, and IDS/IPS controls organizations already run, plus Sigma, Snort, and YARA rules where no edge control has visibility
- DNS-Based Exposure Mitigation: mitigation for exposures introduced through DNS configuration, applied at the DNS layer
- Abandoned Cloud Asset Mitigation: mitigation for cloud resources that are no longer maintained but remain reachable and attributable to the organization
- Abandoned Domain Mitigation: mitigation for domains the organization no longer actively uses but that still resolve or carry trust
Mitigations deploy at the perimeter, not on the vulnerable system itself. They operate without waiting on vendor patch availability, and they are retested to confirm they remain effective until permanent fixes are in place.
Two recent emerging threats show how this works in practice:
- Citrix NetScaler (CVE-2026-88771 and CVE-2026-88772): watchTowr began its AI-Driven Rapid Reaction response on September 26, 2026, as rumors of zero-days spread. Active Defense deployed autonomous mitigations to clients on September 27, ahead of Citrix publishing its advisory and patches later that day.
- PHP2Shell (CVE-2026-109618 and CVE-2026-109619): Details leaked on October 20, and watchTowr confirmed the vulnerabilities were real. AI-Driven Rapid Reaction identified exposure across the client base and Active Defense released autonomous mitigations the same day, before PHP published its patches on October 21.
Active Defense does not replace patching. It reduces exploitability so remediation can run on a schedule that protects production, rather than one dictated by attackers.
Autonomy Under the Organization’s Control
Gartner is clear: “Trust will determine the pace of adoption. Customers will expect transparent decision logic, impact analysis, human oversight and safe rollback before allowing agentic systems to make changes to production security controls.”
Every Active Defense rule is reviewable, opt-in, and customer-controlled. Organizations decide in advance whether rules deploy autonomously or wait for manual approval, and security teams keep full visibility over every rule. For teams that choose autonomous mitigation, protection no longer depends on someone being awake when a threat emerges. Retesting then gives teams evidence that each mitigation is working.
Gartner says “The strongest solutions will measure outcomes such as attack paths disrupted, exposure windows reduced and time to neutralization, demonstrating resilience against AI-accelerated attacks.” We believe the measures that matter are how quickly an organization learned it was affected, how quickly mitigation was in place, and whether retesting confirmed it held.
This Is Preemptive Exposure Management
We believe the research note describes where exposure management has to go: from finding exposures to acting on them at the speed AI-enabled attackers now move.
We believe Preemptive Exposure Management requires three core capabilities: Preempt, Validate, Mitigate. That means preempting attackers and what they will target next, validating exposure, and then mitigating that exposure before in-the-wild exploitation can begin. The watchTowr Platform was built around that model:
- watchTowr Intel tells security teams what is about to matter. watchTowr Instinct identifies which vulnerabilities are highly likely to be exploited in the wild, and Attacker Eye captures real-world attacker behavior, so the platform acts on what attackers will target next.
- AI-Driven Rapid Reaction delivers AI-driven exposure validation for emerging threats and answers “Are we affected?” with evidence.
- Active Defense pushes autonomous mitigation rules to the network edge, so teams wake up to mitigation in place rather than an incident. Patch cycles still run on their own schedule, but exposure is closed without waiting.
When exploitation happens in hours, watchTowr delivers what matters most: time to respond.
“Attackers using AI do not keep business hours, and they no longer wait for a patch cycle. An exposure found at 2 a.m. cannot sit in a queue until someone logs on at 9 a.m. We believe Gartner’s research reflects what we see every week: knowing you are exposed is not the same as being protected. That is why we built Active Defense, so security teams wake up to mitigation, not an incident.”
Benjamin Harris, Founder and CEO, watchTowr
Gartner®, Emerging Tech — Agentic Security: Preemptive Exposure Management Demands AI-Driven Validation and Autonomous Interdiction, Luis Castillo, Elizabeth Kim, Tom Powledge, Mitchell Schneider, Craig Lawson, 28 September 2026.
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