Qualys has announced major updates to its TotalAI solution to secure organisations’ complete MLOps pipeline from development to deployment. Organisations will now be able to rapidly test their large language models (LLMs), even during their development testing cycles, with stronger protection against more attacks and on-premises scanning powered by an internal LLM scanner.
With the current rush of AI adoption, organisations are moving at an unprecedented pace – often without implementing foundational security controls necessary to manage risk. A recent study revealed 72% of CISOs are concerned generative AI solutions could result in security breaches for their organisations. Enterprises need a better solution to bridge the gap between innovation and secure implementation.
As AI becomes a core component of business innovation, security can no longer be an afterthought,” said Tyler Shields, principal analyst at Enterprise Strategy Group. “Qualys TotalAI ensures that only trusted, vetted models are deployed into production, enabling both agility and assurance across organisations’ AI usage. This security helps organisations achieve their innovation goals while managing their risk.”
Qualys TotalAI is purpose-built for the unique realities of AI risk, going beyond basic infrastructure assessments to directly test models for jailbreak vulnerabilities, bias, sensitive information exposure, and critical risks mapped to the OWASP Top 10 for LLMs. Taking a risk-led approach, TotalAI not only finds AI-specific exposures — it helps teams resolve them faster, protect operational resilience, and maintain brand trust. TotalAI delivers:
- Automatic prioritisation of AI security risks: Findings are mapped to real-world adversarial tactics with MITRE ATLAS and automatically prioritised through the Qualys TruRisk scoring engine, helping security, IT, and MLOps teams zero in on the most business-critical risks.
- Faster, safer AI application development: With the new internal on-premises LLM scanner, organisation can now incorporate comprehensive security testing of their LLM models during development, staging, and deployment – all without ever exposing models externally. This shift-left approach, incorporating security and testing of AI-powered applications into existing CI/CD workflows, strengthens both agility and security posture, while ensuring sensitive models remain protected behind corporate firewalls.
- Enhanced defense against emerging AI threats: TotalAI now expands to detect 40 different attack scenarios, including advanced jailbreak techniques, prompt injections and manipulations, multilingual exploits, and bias amplification. The expanded scenarios simulate real-world adversarial tactics and strengthen model resilience against exploitation, preventing attackers from manipulating outputs or bypassing safeguards.
- Protection from cross-modal exploits with multimodal threat coverage: TotalAI’s enhanced multimodal detection identifies prompts or perturbations hidden inside images, audio, and video files that are designed to manipulate LLM outputs, helping organisations safeguard against cross-modal exploits.
“AI is reshaping how businesses operate, but with that innovation comes new and complex risks,” said Sumedh Thakar, president and CEO of Qualys. “TotalAI delivers the visibility, intelligence, and automation required to stay agile and secure, protecting AI workloads at every stage — from development through deployment. We are proud to lead the way with the industry’s most comprehensive solution, helping businesses innovate with confidence, while staying ahead of emerging AI threats.”
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