Qualys Expands AI Security Governance to Control Rapid AI Adoption
Qualys, Inc. a leading provider of cloud-based IT, security and compliance solutions, today announced new capabilities in TotalAI, built on the Qualys Enterprise TruRisk Platform, to empower organizations to discover, test, monitor, and govern enterprise AI risk from design to production. TotalAI provides enterprise CISOs with robust AI governance and risk management capabilities that satisfy new policy requirements around safe AI use in the U.S. and EU.
Enterprise AI adoption has outrun the controls built to govern it. Organizations are layering models, AI agents, and Model Context Protocol (MCP) servers onto security programs never designed for them, while attackers weaponize the same AI tools to move faster than defenders can track. Moreover, no other single point tool answers the questions security leaders face daily: Where is AI running? Which models can leak data or be manipulated? What are AI agents connected to? And can we prove our controls are working? TotalAI answers all four — with the same TruRisk score security teams already use for vulnerabilities, cloud, and containers.
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“AI is outrunning the controls built to govern it, and security teams can no longer treat that risk as a separate list to be scanned and closed,” said Grace Trinidad, Research Director at IDC. “The industry is moving beyond simply counting vulnerabilities toward continuously minimizing the exploitable surface, what is actually reachable and can be made to do harm, and AI is turning that shift from good practice to a requirement. Organizations that fold AI risk into continuous exposure management, spanning discovery, assessment, runtime visibility, and governance, will be the organizations positioned to adopt AI securely and at scale.”
Qualys TotalAI provides enterprises with end-to-end AI security:
- Gain total visibility into AI use — Discover shadow AI, cloud AI services, AI agents, models, MCP servers, AI containers, and browser-based AI, so teams know where AI runs across the enterprise and who owns the risk.
- Govern agentic AI, models and integrations end to end — See and control the tool calls AI agents make over MCP, so an agent’s reach can be contained if needed. Kernel-level (eBPF) instrumentation reveals what AI workloads execute on servers, delivering visibility that scanners and logs can’t provide.
- Prove governance is working — Give security, engineering, and governance, risk, and compliance (GRC) teams audit-ready evidence of what AI exists, the severity and impact of any issues, and a TruRisk-based prioritization plan of what to fix first.
- Shift AI security left — Find AI vulnerabilities, misconfigurations, and exposed secrets earlier, in code and pipelines. Test models for prompt injection, jailbreaks, and unsafe output before they reach production.
- Go beyond posture to adversarial testing — TotalAI red-teams both LLMs (prompt injection, jailbreaks) and MCP servers (tool poisoning, SSRF, rug-pull), mapped to the OWASP LLM & MCP Top 10 and the EU AI Act. While most tools govern MCP access, TotalAI scans the MCP server itself.
“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. “TotalAI gives enterprises a single, unified way to assess, govern, and secure AI risk continuously — not through periodic snapshots, but with the real-time clarity and discipline Qualys is known for.”
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