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From Exposure Whack-a-Mole to Autonomous Cyber Risk Management: Meet Agentic AI on the Qualys Platform
agentic-ai

From Exposure Whack-a-Mole to Autonomous Cyber Risk Management: Meet Agentic AI on the Qualys Platform

Discover how Qualys Agentic AI transforms cyber risk management with autonomous agents that prioritize, remediate, and adapt to evolving threats.

August 5, 2025
5 min read
Qualys

Discover how Qualys Agentic AI transforms cyber risk management with autonomous agents that prioritize, remediate, and adapt to evolving threats.

From Exposure Whack-a-Mole to Autonomous Cyber Risk Management: Meet Agentic AI on the Qualys Platform

Cyber threats are increasing in both volume and sophistication, while the enterprise attack surface continues to expand. This puts immense pressure on security teams, who are already overwhelmed by tool sprawl and a flood of disconnected findings—often lacking the context needed to prioritize based on business impact. To make matters worse, most security tools remain reactive, leaving teams stuck in manual workflows and struggling to close persistent exposures. Cybersecurity teams inundated with security findings from dozens of tools face a critical challenge of centralizing and democratizing access to millions of exposure signals and turning them into clear, actionable insights. Dashboards overflow with exposures, risk scores, and asset inventories, but translating that noise into intelligent action is still a reactive, time-consuming, manual process. What’s missing is a fully integrated and autonomous system that not only identifies but also prioritizes, remediates, and adapts to the dynamic threat landscape.

Qualys Unveils Native Agentic AI Capabilities

Today, Qualys announces the launch of the Qualys AI Fabric — a major leap forward in enabling autonomous cybersecurity. With the introduction of specialized Cyber Risk Agents as your digital workforce, and the prompt-driven Cyber Risk Assistant, Qualys sets a new industry benchmark for proactive, intelligent risk management. By embedding Agentic AI into Enterprise TruRisk Management (ETM), Qualys elevates risk orchestration—enabling faster, smarter decision-making. ETM, the foundation of the industry’s first Risk Operations Center (ROC), aggregates exposures to quantify, communicate, and reduce cyber risk in business terms. Now enhanced with AI fabric, it delivers pre-built Cyber Risk Agents that automate threat prioritization and guide remediation strategies aligned to each organization’s risk posture. These specialized Cyber Risk Agents operate autonomously and act as your skilled digital workforce to augment your security teams. The new Cyber Risk Assistant—an intuitive, prompt-based interface—further empowers teams to translate complex exposure data into clear, context-driven actions with autonomous execution.

What is Agentic AI?

Agentic AI represents the next phase of AI innovation, going beyond generative AI. Unlike systems that merely process user prompts into outputs, agentic systems act autonomously, taking the necessary steps to solve problems based on context, learning, and clear directives. For cybersecurity, these capabilities are game-changing. Adversaries are weaponizing and exploiting vulnerabilities across the digital attack surface at an unprecedented pace. This overwhelms security teams with millions of exposures. The constantly expanding attack surface makes it incredibly challenging for human teams to prioritize, understand, and act on this deluge of information in real time. While centralizing exposure data is a crucial first step, remediating exposures at the speed they are detected requires self-orchestrating AI agents that operate at machine scale to rapidly analyze data, generate insights, and autonomously remediate risks. Agentic AI doesn’t just detect issues or surface insights based on data. It autonomously identifies critical risks, prioritizes them, and launches targeted remediation workflows to reduce risks.

Qualys Agentic AI

Agentic AI is now seamlessly integrated into the Qualys ecosystem to enhance security operations and enable smarter decision-making. It continuously analyzes millions of exposure signals, combining live threat intelligence with your organization’s unique business context. The result is a clear distillation of the cyber risks that truly matter, enabling security professionals to focus on what’s important. To explore the under-the-hood implementation of the Qualys AI Fabric, check out the technical deep-dive blog by Balaji Venkatesan.
See Agentic AI in action by signing up for a preview of Qualys ETM today! Sign Up Now

Through Its AI Fabric, Qualys Introduces Two Major Innovations to Streamline Cyber Risk Operations

Marketplace of Ready-to-use Cyber Risk AI Agents

Through the Qualys Agentic AI marketplace, organizations can employ pre-built Cyber Risk Agents as their skilled digital workforce tailored to specific use cases. They can also create custom Cyber Risk Agents with an intuitive no-code builder to autonomously deliver specialized outcomes. These agents empower decision-making across all levels—tackling operational challenges in real time or delivering insightful reports for board-level briefings. By transforming fragmented data into actionable intelligence, Agentic AI strengthens security operations and drives efficient risk management.

Cyber Risk Assistant

The prompt-driven Cyber Risk Assistant democratizes access to diverse security data by helping users navigate and evaluate their risk posture with natural-language queries. It analyzes exposures, applies threat intelligence, and factors in your unique environment to deliver tailored insights, turning data into informed action. Whether presenting to the board or making urgent operational decisions, the assistant quickly surfaces needed information and can introduce a Cyber Risk Agent for a more autonomous experience.
Register for our webinar on September 9 to learn how to modernize your cyber risk management with Agentic AI. Register Today

Key Benefits of Qualys Agentic AI

  • Democratized Data Access: Streamlines exploration of fragmented security data, empowering teams to transform curiosity into actionable insights.
  • Intelligent Decision Support: Provides business impact-driven analytics that convert fragmented data into ranked, actionable insights.
  • Enhanced Productivity: Drives productivity through autonomous risk reduction with human oversight, reducing MTTR and allowing focus on strategic initiatives.
  • Use Cases for Agentic AI

    There are numerous areas where Agentic AI helps security teams shift from tactical responders to strategic orchestrators. Here are some key examples:

    Agent Nova: Discover and Prioritize External Attack Surface Risks

    Security teams face an ever-increasing external attack surface, with many organizations unaware of up to 25% of their internet-facing assets. Qualys Agent Nova continuously identifies newly discovered internet-facing assets and exposures without manual prompts. It prioritizes vulnerability scans based on risky open ports, end-of-life software, or potential vulnerabilities, correlating findings with threat intelligence tailored to the organization’s industry and environment. Agent Nova also generates comprehensive “Hacker’s-Eye View” reports revealing what attackers see and target.

    Agent Vikram: Adaptive Cloud Risk Assessment

    In sprawling multi-cloud environments, visibility gaps are common. Qualys research found over 30% of cloud VMs across AWS, Azure, and GCP run with high or critical vulnerabilities, many unscanned. Agent Vikram autonomously discovers unmonitored assets and applies the right scan method for each workload—API-based, agent-based, snapshot-based, or cloud perimeter scanning—without human intervention. This eliminates cloud blind spots, providing continuous, unified visibility and control.

    Agent Chang: Audit-Readiness Assessment & Reporting

    Audit readiness is critical but challenging without automation. Agent Chang automates continuous evidence collection and audit-ready reporting across all assets and environments. It maps evidence to compliance frameworks like ISO, NIST, PCI-DSS, and FedRAMP in real time, prioritizes control failures impacting audit readiness, and delivers dynamic dashboards and reports. This proactive approach minimizes risks, streamlines audits, and integrates audit readiness into daily processes.

    Agent Nyra: Threat-Informed Risk Prioritization

    Security teams face overwhelming threat data and tool fragmentation. Agent Nyra autonomously monitors adversary behavior and threat intelligence relevant to the organization’s industry and environment. It alerts teams to critical threats and can initiate playbooks for patching or mitigation, helping focus on what matters most.

    Agent Sara: Autonomous Patch Tuesday Lifecycle

    Despite diligent patching, about 20% of Microsoft Patch Tuesday vulnerabilities remain open beyond 30 days due to prioritization challenges, SLA violations, and service disruption risks. Agent Sara detects MSPT vulnerabilities, creates Risk Elimination Plans, prioritizes critical vulnerabilities, identifies patches, and ensures SLA compliance. When patches can’t be deployed immediately, it applies mitigations to prevent exploitation, managing the entire patch lifecycle autonomously.

    Agent Sophia: Self-Healing Autonomous Vulnerability Management

    Agent Sophia uses a multi-agent AI system to autonomously discover vulnerabilities, prioritize based on real-time business context, and execute full remediation workflows with human oversight. This self-healing system closes the gap between detection and remediation at machine speed, addressing the critical window where vulnerabilities remain unpatched and vulnerable to exploitation.

    Conclusion

    Agentic AI redefines risk management by making security operations smarter, faster, and more cost-effective. Autonomous workflows reduce complexity and accelerate processes, enabling confident protection of expanding attack surfaces while optimizing resources. This innovative approach empowers teams to shift from reactive measures to proactive security strategies. With Agentic AI, the future of autonomous cybersecurity is here.
    Try Qualys ETM today and preview your digital workforce, Agentic AI by Qualys. Try Today

    Author

    Mayuresh Ektare — Vice President, Product Management, Enterprise TruRisk Management, Qualys Contact: maektare@qualys.com
    Originally published at Qualys Blog on August 4, 2025.

    Frequently Asked Questions (FAQ)

    Understanding Agentic AI and Qualys Platform

    Q: What is Agentic AI and how does it differ from Generative AI? A: Agentic AI refers to AI systems that can act autonomously, taking initiative to solve problems based on context, learning, and directives. This goes beyond Generative AI, which primarily processes user prompts into outputs. Q: What is the Qualys AI Fabric? A: The Qualys AI Fabric is a new suite of native agentic AI capabilities integrated into the Qualys platform, designed to enable autonomous cybersecurity and proactive risk management. Q: What are Cyber Risk Agents? A: Cyber Risk Agents are specialized, autonomous AI agents that function as a digital workforce within the Qualys platform. They are designed to automate threat prioritization and guide remediation strategies. Q: What is the role of the Cyber Risk Assistant? A: The Cyber Risk Assistant is a prompt-driven interface that allows users to query complex exposure data using natural language, providing context-driven actions and potentially launching Cyber Risk Agents for autonomous execution. Q: How does Qualys ETM (Enterprise TruRisk Management) benefit from Agentic AI? A: Qualys ETM, the foundation of the Risk Operations Center (ROC), is enhanced by Agentic AI to elevate risk orchestration, enabling faster, smarter decision-making. The AI Fabric provides pre-built agents for automated threat prioritization and remediation.

    Key Benefits and Use Cases

    Q: What are the key benefits of Qualys Agentic AI? A: The key benefits include democratized data access, intelligent decision support with business impact-driven analytics, and enhanced productivity through autonomous risk reduction. Q: Can you provide examples of Agentic AI use cases within Qualys? A: Examples include Agent Nova for external attack surface risks, Agent Vikram for cloud risk assessment, Agent Chang for audit readiness, Agent Nyra for threat prioritization, Agent Sara for patch management, and Agent Sophia for autonomous vulnerability management. Q: How does Agent Nova help in identifying external attack surface risks? A: Agent Nova continuously discovers internet-facing assets and exposures, prioritizes vulnerability scans, and correlates findings with threat intelligence, providing a "Hacker's-Eye View." Q: What problem does Agent Vikram solve in cloud environments? A: Agent Vikram addresses visibility gaps in multi-cloud environments by autonomously discovering unmonitored assets and applying appropriate scanning methods to provide continuous, unified visibility and control.

    Implementation and Future of Agentic AI

    Q: Where can I learn more about the technical implementation of Qualys AI Fabric? A: A technical deep-dive blog by Balaji Venkatesan is available to explore the under-the-hood implementation. Q: How can I experience Agentic AI in action? A: You can sign up for a preview of Qualys ETM to see Agentic AI in action. Q: What is the broader impact of Agentic AI on cybersecurity? A: Agentic AI empowers security teams to shift from reactive measures to proactive strategies, making security operations smarter, faster, and more cost-effective by automating complex workflows and accelerating remediation.

    Crypto Market AI's Take

    The advancements in Agentic AI, as highlighted by Qualys, mirror the transformative potential of AI within the financial sector, particularly in cryptocurrency markets. At Crypto Market AI, we leverage sophisticated AI agents and machine learning models to provide real-time market analysis, automated trading strategies, and predictive insights. Our platform is designed to help individuals and businesses navigate the complexities of the crypto landscape, much like Agentic AI aims to simplify cybersecurity. We understand that the ability to autonomously identify risks and opportunities, prioritize actions, and adapt to dynamic environments is crucial in both domains. Our focus on providing actionable intelligence and automating complex processes aligns with the core principles of agentic systems, empowering users to make more informed decisions in the fast-paced world of digital assets. Learn more about how our AI-powered tools can enhance your trading strategies by exploring our AI Agents or our insights on AI-driven Crypto Trading Tools.

    More to Read:

  • AI Agents: The Future of Business Automation and Customer Engagement
  • AI-Driven Crypto Scams Surge: Experts Warn No One Is Safe
  • Understanding Agentic AI: Capabilities, Risks, and Growing Role