Qualys Introduces Agentic AI for Autonomous Cyber Risk Management

August 05, 2025
Qualys has unveiled its Agentic AI-powered Risk Operations Center, offering autonomous risk management through AI agents, as announced in a press release.

Qualys, Inc. has introduced its new Agentic AI-powered Risk Operations Center, which aims to revolutionize cyber risk management by providing autonomous solutions. Announced in a press release, the platform features a marketplace of Cyber Risk AI Agents that deliver real-time risk insights and prioritize them based on business impact.

The Agentic AI capabilities are embedded into Qualys' Enterprise TruRisk Management, enhancing risk-centric automation and enabling faster, more intelligent decision-making. The platform's AI agents autonomously manage every step of the cyber risk journey, from discovering external attack surfaces to assessing and prioritizing risks.

Qualys' new AI fabric also introduces the Cyber Risk Assistant, a prompt-driven interface that helps security teams navigate risk management by translating millions of exposures into actionable insights. This innovation aims to reduce operational costs and improve the efficiency of risk operations by automating threat prioritization and remediation strategies tailored to each organization's risk environment.

The Agentic AI features are currently available in preview, with further details accessible through Qualys' official channels.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Cybersecurity AI Weekly

Weekly newsletter about AI in Cybersecurity.

Market report

2025 State of Data Security Report: Quantifying AI’s Impact on Data Risk

Varonis Systems, Inc.

The 2025 State of Data Security Report by Varonis analyzes the impact of AI on data security across 1,000 IT environments. It highlights critical vulnerabilities such as exposed sensitive cloud data, ghost users, and unsanctioned AI applications. The report emphasizes the need for robust data governance and security measures to mitigate AI-related risks.

Read more