Qualys has announced new capabilities in TotalAI, built on the Qualys Enterprise TruRisk Platform, to help organizations discover, test, monitor and govern AI risk from development to production.
The expansion is aimed at helping CISOs manage fast-moving enterprise AI adoption, reduce shadow AI and prove that security controls are operating effectively. Qualys said TotalAI gives security leaders visibility into where AI is running, which models may leak data or be manipulated, what AI agents are connected to, and whether governance controls are working.
“With every modern enterprise leveraging AI, the question is changing from ‘Is my AI secure?’ to ‘Can I prove it to my board and regulators?’,” said Sumedh Thakar, president and CEO of Qualys.
As organizations add models, AI agents and Model Context Protocol servers to existing environments, many security programs are struggling to keep pace. TotalAI addresses this by extending AI security across discovery, assessment, runtime visibility and governance, using the same TruRisk scoring approach already applied to vulnerabilities, cloud and containers.
Key capabilities include discovery of cloud AI services, AI agents, models, MCP servers, AI containers and browser-based AI usage. The platform also monitors tool calls made by AI agents, uses kernel-level instrumentation to show what AI workloads execute on servers, and provides audit-ready evidence for security, engineering and governance teams.TotalAI also supports shift-left AI security by identifying vulnerabilities, misconfigurations and exposed secrets in code and pipelines, while testing models for prompt injection, jailbreaks and unsafe output before production. Qualys said TotalAI is generally available and is designed to help enterprises secure AI adoption while meeting emerging governance and regulatory expectations.
