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Enhancing Cloud AI and Language Models' Security through TotalAI, Focusing on Insight, Risk Assessment, and Management

Uncover insights into your cloud-based AI services and language models. Identify, evaluate, and fortify AI tasks using Qualys TotalAI, now backed by support for Azure AI infrastructure.

Ensuring Cloud AI and Language Models through TotalAI for Clear Insight, Risk Assessment, and...
Ensuring Cloud AI and Language Models through TotalAI for Clear Insight, Risk Assessment, and Management Control

Enhancing Cloud AI and Language Models' Security through TotalAI, Focusing on Insight, Risk Assessment, and Management

In a significant move to bolster security and compliance in the rapidly evolving realm of Artificial Intelligence (AI), Qualys has announced the launch of TotalAI. This new addition to their platform extends its deep cloud visibility into the AI layer, enabling teams to detect and mitigate emerging threats tied to model behavior, data flow, and governance.

TotalAI offers AI-specific coverage throughout the lifecycle, addressing a wide range of concerns. It includes AI fingerprinting, detection of unapproved AI workloads and tools, missing guardrails, misconfigured access controls, and AI governance misalignment.

Built on the same unified platform that powers Qualys TotalCloud, TotalAI allows organizations to seamlessly connect cloud posture insights with AI workload protection for end-to-end visibility and control. It monitors both on-premises and cloud environments, correlates configurations, and flags potential exposures whether in AWS, Azure, or hybrid infrastructure.

The latest release of TotalAI expands cloud platform support to include Azure AI Foundry, Azure OpenAI Service, Azure AI Hub, and Azure Cognitive Services. Looking ahead, support for AWS Bedrock, AWS SageMaker, Google Vertex AI, and Azure Machine Learning is on the horizon.

Security teams require visibility into Language Models (LLMs) and AI workloads being used, their access paths, configuration states, and connections to sensitive data. TotalAI addresses this need by providing a comprehensive inventory view of cloud-based LLMs, model versions, and runtime configurations, and associations with data pipelines, services, and cloud resources.

Moreover, TotalAI scans for prompt injections, hallucinations and bias, adversarial exploits and jail breaks, and extends these checks to multimodal AI attacks. It also allows ML engineers to validate and calibrate AI guardrails by simulating attack techniques and correlating cloud service policies with specific LLMs in use.

TotalAI operationalizes AI risk visibility, transforming fragmented insights into a unified, risk-based view across the AI footprint. It seamlessly integrates with Qualys Agent, Scanner, and other sensors, eliminating onboarding overhead or integration challenges and providing immediate value.

Traditional cloud security tools like Cloud Security Posture Management (CSPM) focus primarily on infrastructure, but AI workloads introduce an entirely new layer of complexity to the risk landscape. TotalAI identifies and classifies AI applications, model runtimes, LLMs, inference frameworks, AI libraries, and GPU infrastructure, providing a much-needed solution to this challenge.

TotalAI's compliance mapping includes the OWASP Top 10 for LLMs and MITRE ATLAS tactics and techniques framework, ensuring thorough adherence to industry standards.

Qualys TotalAI version 1.4.0 was introduced on the Azure Marketplace and the AWS Marketplace platforms, making it easily accessible for enterprises looking to enhance their AI security and compliance measures. With TotalAI, organizations can now gain unmatched visibility, risk insight, and unified control over their AI workloads.

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