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Qualys Bolsters TotalAI to Tackle Rising LLM Risks Across the AI Lifecycle

Sumedh Thakar

With new on-prem LLM scanner and multimodal protections, Qualys offers enterprises end-to-end AI security from development to deployment

Qualys has announced major upgrades to its TotalAI solution, aiming to secure the entire machine learning operations (MLOps) pipeline—from development to deployment—against a rapidly evolving landscape of AI and large language model (LLM) threats. The enhanced platform now features an internal LLM scanner for on-premises security testing, support for 40+ advanced attack scenarios, and multimodal threat detection spanning image, audio, and video manipulation.

As enterprises rush to adopt AI technologies, many are skipping critical security checkpoints. A recent study cited by Qualys found that 72% of CISOs fear generative AI could lead to breaches within their organizations. Qualys’ updated TotalAI addresses this concern with a shift-left security approach that enables safe development within existing CI/CD pipelines—without exposing sensitive models externally.

“TotalAI delivers the visibility, intelligence, and automation required to stay agile and secure.”

— Sumedh Thakar, President and CEO, Qualys

“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.”

TotalAI goes beyond infrastructure protection by directly scanning LLMs for jailbreak vulnerabilities, prompt injections, data leakage, and bias, while mapping threats to frameworks like OWASP Top 10 for LLMs and MITRE ATLAS. It prioritizes risk via Qualys TruRisk™ and enables faster remediation through deep integration with IT and security workflows.

As AI innovation accelerates, Qualys positions TotalAI as one of the most comprehensive platforms available for securing next-gen AI applications—without slowing down enterprise agility.

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