Qualys, a pioneer in cloud-based IT, security, and compliance solutions, has announced the launch of new Agentic AI capabilities integrated into the Qualys platform. Designed to advance enterprise security operations, the new AI fabric introduces a dynamic marketplace of Cyber Risk AI Agents that deliver real-time, business-prioritized risk insights across all attack surfaces. This innovation aims to minimize risk and operational overhead through autonomous remediation at scale, enabling smarter and more efficient Risk Operations Centers (ROCs).
With cyber threats becoming increasingly complex and pervasive, enterprise security teams are overwhelmed by a surge of exposures—often without the necessary context to prioritize them effectively. Manual efforts fall short, leaving critical vulnerabilities unresolved. The introduction of Agentic AI directly addresses this challenge by automating risk-driven workflows, eliminating repetitive tasks, and empowering teams to act faster and more strategically.
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“Cybersecurity has never been able to keep pace with the volume of enterprise exposures due to human-scale prioritization and remediation,” said Tyler Shields, principal analyst at Enterprise Strategy Group (ESG). “Integrating Agentic AI into the Qualys platform marks a major leap—from reactive response to real-time risk reduction. With autonomous remediation and intelligent prioritization, this type of innovation enables faster risk reduction, more efficient resource usage, and greater accuracy in recommended actions. This evolution shifts security teams from tactical responders to strategic agentic AI orchestrators, bringing us closer to a future of self-healing cybersecurity.”
By embedding Agentic AI into its Enterprise TruRisk Management (ETM) platform, Qualys further enhances its risk-centric automation capabilities. ETM, already a critical element of the ROC, aggregates security exposures to help organizations measure, communicate, and eliminate cyber risks aligned with business objectives. Now bolstered by AI-driven automation, the platform introduces pre-built agents that drive prioritization and remediation tailored to each organization’s unique risk posture. Additionally, the Cyber Risk Assistant—a prompt-based interface—enables teams to process millions of exposures and generate actionable, context-aware insights with unprecedented speed and accuracy.
The Qualys AI Agent Marketplace offers several key capabilities:
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Real-Time Risk Insights from Disparate Data Sources – Pre-built AI agents continuously analyze and prioritize cyber threats by mapping exposures to the organization’s specific environment and asset context. From discovering external attack surfaces to assessing threats against trending risks, these agents significantly reduce the cost and complexity of risk operations.
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Adaptive Remediation for Enhanced Security Posture – As attackers increasingly exploit vulnerabilities in under 18 days, reducing Mean Time to Remediation (MTTR) has become critical. AI agents like the Microsoft Patch Tuesday Lifecycle Agent align vulnerabilities with remediation actions and asset-specific context to streamline and accelerate the remediation process, cutting both cost and response time.
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Custom No-Code AI Agent Creation – Organizations can build their own AI agents using no-code, pretrained models, tailored to meet specific business objectives. These agents automate and scale risk management workflows, offering flexibility and reusability across security operations.
“Qualys Agentic AI, embedded into Enterprise TruRisk Management is transforming how organizations manage cyber risk and powering a smarter, more agile Risk Operations Center,” said Sumedh Thakar, president and CEO of Qualys. “It’s ushering in a new era where CISOs can augment their security teams with intelligent AI agents that perform autonomous analysis and take decisive, high-impact actions to reduce risk faster, more strategically, and with greater efficiency.”
With the launch of Agentic AI, Qualys reinforces its commitment to helping organizations advance from reactive cybersecurity to proactive, autonomous risk management. This evolution not only enhances decision-making but also redefines how security teams operate in an increasingly complex digital threat landscape.