Tapping into the Power of Autonomous Remediation to Shrink Organizational Risk Quotient

Qualys, Inc, a leading provider of disruptive cloud-based IT, security and compliance solutions, has officially announced the launch of several new Agentic AI capabilities on the Qualys platform.

According to certain reports, the development brings to your disposal a marketplace of Cyber Risk AI Agents to generate real-time risk insights across all attack surfaces. More on the same would reveal how it arrives on the scene bearing an ability to reduce risk and operational costs by autonomously remediating with speed, scale, and accuracy.

 Not just that, it can also power a smarter, more efficient Risk Operations Center (ROC). 

To understand the significance of such a development, we must take into account how security teams are currently struggling against millions of exposures, something which they are being forced for despite lacking the context to map these exposures against business priorities. 

Against that, Qualys leverages Agentic AI to eliminate repetitive tasks, and at the same time, facilitate autonomous, risk-focused workflows that empower teams and accelerate protection.

This particular mechanism involves blending Agentic AI with Enterprise TruRisk Management (ETM) to enhance the company’s risk-centric automation capabilities, all for the purpose of delivering faster, more intelligent decision-making.

For better understanding, ETM is best known for aggregating exposures to measure, communicate, and eliminate cyber risk hovering around business value. Now, put that alongside new AI fabric and you’ll make Qualys aptly-prepared to deliver pre-built AI agents that automate threat prioritization and drive remediation strategies tailored to each organization’s risk appetite and environment.

The whole package also includes one Cyber Risk Assistant, a prompt-driven interface designed to help teams navigate the risk journey, translate millions of exposures, and deliver context-aware risk insights with autonomous operations.

“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.”

Talk about Qualys’ latest brainchild on a slightly deeper level, we begin from the promise of continuous risk insights and prioritization from fragmented exposures. This refers to how pre-built agents autonomously and adaptively drive every step of the cyber risk journey, right from continuously discovering your external attack surface with a hacker’s-eye view to proactively assessing risk against trending industry threats, as well as prioritizing those risks based on the context of your unique assets and environment.

The stated setup, like you can guess, really goes the distance to help organizations reduce the cost and complexity of risk operations. 

Next up, we have an adaptive brand of remediation coming into play so to help you achieve the highest security posture. With attackers exploiting vulnerabilities in under 18 days, cybersecurity and IT teams are naturally looking to cut down on their mean time to remediation (MTTR). 

In that respect, having adaptive risk remediation AI agents like the Microsoft Patch Tuesday Lifecycle Agent in play can prove useful for triangulating prioritized vulnerabilities, correlated remediation techniques, and asset context to drive faster, more transparent risk remediation. 

Another detail worth a mention relates to the prospect of building your own AI agent. You see, security teams can create custom, no-code, pre-trained AI agents tailored to their specific business needs. These agents can be trained to perform specialized tasks autonomously and reused as needed, thus enabling scalable, repeatable automation for risk management workflows unique to each organization.

“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.”