Qualys launches Agentic AI agents to streamline cyber risk ops

Qualys launches Agentic AI agents to streamline cyber risk operations

Qualys has introduced new Agentic AI capabilities on its platform, extending autonomous risk management through a marketplace of AI agents designed to streamline cyber risk operations for organisations. The latest development from Qualys includes a marketplace of Cyber Risk AI Agents integrated into its platform. These agents deliver real-time risk insights across multiple attack surfaces and prioritise exposures based on business impact. According to Qualys, these AI agents autonomously remediate issues at speed and scale, supporting the operations of a Risk Operations Centre (ROC) and aiming to help organisations reduce both risk and operational costs. As organisations face a rising volume and sophistication of cyber threats and more complex attack surfaces, Qualys asserts that traditional methods have struggled to keep up with the volume of exposures. The new approach, using self-orchestrating AI agents, aims to mitigate manual bottlenecks that leave security teams facing lingering exposures.

"Cybersecurity has never been able to keep pace with the volume of enterprise exposures due to human-scale prioritisation and remediation. Integrating Agentic AI into the Qualys platform marks a major leap - from reactive response to real-time risk reduction. With autonomous remediation and intelligent prioritisation, 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."

— Tyler Shields, Principal Analyst at Enterprise Strategy Group

Embedded AI for risk-centric automation

The AI capabilities are now embedded in Qualys' Enterprise TruRisk Management (ETM), which already functions as a core element of the company's ROC framework. Qualys states that ETM aggregates exposures for organisations to measure, communicate, and reduce cyber risk in line with business value. The integration of Agentic AI introduces pre-built AI agents that automate threat prioritisation and remediation approaches aligned with an organisation's specific risk appetite and operational context. Included with the update is the Cyber Risk Assistant, a prompt-based interface that assists security teams by navigating risk management processes, providing context-aware insights across millions of exposures, and facilitating autonomous operations within risk management workflows.

Capabilities of the AI agents

The Qualys marketplace features ready-to-use AI agents offering several functional advances for security teams:

• Continuous risk insights: AI agents continuously discover external attack surfaces, assess risk in the context of emerging industry threats, and prioritise risks according to each organisation's unique assets and operating environment.
• Adaptive remediation: Agents, such as the Microsoft Patch Tuesday Lifecycle Agent, identify and correlate prioritised vulnerabilities with available remediation options, reducing both the cost and the time required to address security vulnerabilities. These agents focus on reducing mean time to remediation (MTTR) in response to threat actors' rapid exploitation of newly identified vulnerabilities.
• Customisation: Security teams can design custom, no-code AI agents tailored to specific business needs and risk management processes. These agents can be trained and reused to support scalable and repeatable automation tasks within an organisation's unique operational context.

"Qualys Agentic AI, embedded into Enterprise TruRisk Management is transforming how organisations manage cyber risk and powering a smarter, more agile Risk Operations Centre. 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."

— Sumedh Thakar, President and Chief Executive Officer of Qualys

Operational focus

According to Qualys, the new Agentic AI functions can automate and streamline various stages of risk reduction, contributing to overall improvements in cost efficiency and effectiveness for security operations teams. The company states that these AI-driven solutions are intended to address industry-wide challenges in risk management stemming from increasingly complex infrastructure and the proliferation of cyber threats, with particular emphasis on aligning remediation efforts to business-critical priorities.

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Frequently Asked Questions (FAQ)

What are Agentic AI agents?

Agentic AI agents are specialized artificial intelligence programs designed to autonomously perform specific tasks and manage processes, often within a larger platform or ecosystem. They can discover, assess, prioritize, and even remediate issues without constant human intervention.

How do Qualys' Agentic AI agents streamline cyber risk operations?

These agents streamline operations by providing real-time risk insights across various attack surfaces, prioritizing vulnerabilities based on business impact, and autonomously remediating issues at speed and scale. This reduces manual effort and speeds up risk reduction.

What is a Risk Operations Centre (ROC)?

A Risk Operations Centre (ROC) is a dedicated function within an organization focused on managing and mitigating cyber risks. Qualys' Agentic AI agents are designed to support and enhance the operations of such centers.

What is Enterprise TruRisk Management (ETM)?

Enterprise TruRisk Management (ETM) is a Qualys platform that aggregates an organization's exposures to measure, communicate, and reduce cyber risk in alignment with business objectives. Agentic AI is integrated into ETM to automate and improve these processes.

What is the Cyber Risk Assistant?

The Cyber Risk Assistant is a feature integrated with Qualys' Agentic AI. It's a prompt-based interface that helps security teams by providing context-aware insights and facilitating autonomous operations within risk management workflows.

How do AI agents help reduce Mean Time To Remediation (MTTR)?

Agents like the Microsoft Patch Tuesday Lifecycle Agent can identify and correlate prioritized vulnerabilities with available remediation options, significantly reducing the time and cost needed to address security flaws, thereby lowering MTTR.

Can users create their own AI agents?

Yes, security teams have the capability to design custom, no-code AI agents tailored to their specific business needs and risk management processes. These custom agents can then be trained and reused for repeatable automation tasks.

Crypto Market AI's Take

The introduction of Agentic AI agents by Qualys signifies a critical evolution in cybersecurity, mirroring advancements seen across various technology sectors, including finance and cryptocurrency. In the realm of crypto, AI agents are increasingly being developed to navigate complex market data, identify trading opportunities, and manage risk. The principle of autonomous, intelligent agents performing tasks at scale is directly transferable to how sophisticated AI tools are transforming the financial landscape. Much like Qualys is automating cyber risk, AI in crypto is automating trading strategies, market analysis, and even fraud detection. The concept of "self-healing cybersecurity" discussed by Tyler Shields echoes the goal of many AI-driven crypto platforms: creating self-optimizing trading systems that can adapt to market volatility and mitigate risks autonomously. For those interested in how AI is impacting financial markets, exploring how AI-powered trading strategies are developed and deployed is crucial.

More to Read:

• AI Agents: The Future of Business Automation and Customer Engagement
• AI-Driven Crypto Trading Tools Reshape Market Strategies in 2025
• Understanding AI Crypto Scams: Experts Warn No One Is Safe

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Originally published at SecurityBrief Australia on Mon, 04 Aug 2025.