Qualys, Inc. (NASDAQ: QLYS) has announced major updates to its Qualys TotalAI solution. The enhancements aim to secure the complete MLOps pipeline, from development to deployment.
The company revealed that organizations can now test large language models (LLMs) more rapidly, even during development cycles. These updates bring stronger protection against new threats and introduce on-premises scanning with an internal LLM scanner.
As AI adoption accelerates, security remains a critical concern. A recent study reported that 72% of CISOs are worried generative AI could cause breaches. Enterprises need tools that balance innovation with secure implementation.
Tyler Shields, principal analyst at Enterprise Strategy Group, emphasized the importance of security. He noted that Qualys TotalAI allows only trusted, vetted models in production, helping organizations manage risk while remaining agile.
Qualys TotalAI addresses AI-specific risks. It tests models for jailbreak vulnerabilities, bias, sensitive data leaks, and threats aligned with the OWASP Top 10 for LLMs. The solution goes beyond infrastructure checks and supports operational resilience and brand trust.
Key updates include:
The platform also detects 40 types of attack scenarios. These include jailbreaks, prompt injections, bias amplification, and multilingual exploits. These scenarios simulate real-world tactics to improve model resilience.
Another update is protection from cross-modal exploits. TotalAI can now detect manipulations hidden in images, audio, and video files meant to alter LLM outputs.
Sumedh Thakar, president and CEO of Qualys, said the solution offers visibility, intelligence, and automation across AI lifecycles. He added that TotalAI helps companies innovate confidently while staying ahead of emerging threats.
Qualys TotalAI is now positioned as one of the most comprehensive AI security solutions available today.
