Secure Your Generative Investments: Qualys Advances Enterprise TruRisk Platform with Qualys TotalAI to Protect Your LLM Investments

Artificial intelligence (AI) and large language models (LLMs) are reshaping industries, streamlining enterprise operations, and fueling unprecedented innovation. However, as adoption accelerates, so do the associated risks. While 70% of enterprises plan to deploy LLMs in production within the next 12 months, 71% of CISOs express concerns about vulnerabilities introduced by generative AI. This disparity underscores the urgent need for robust security strategies to protect AI investments against evolving threats.

Insights from Qualys shed light on the current state of AI/ML adoption. To date, 1,255 organizations are leveraging AI/ML software, with 6.7 million installations deployed across 2.8 million assets. Of these, approximately 175,000 assets (6.2%) are classified as critical, with a high criticality rating of 4 or 5—making them prime targets for cyber threats.

The rapid deployment of LLM-enabled tools, such as ChatGPT, magnifies these risks, potentially exposing sensitive data, intellectual property, and compliance workflows to exploitation. To address these challenges, Qualys has developed an advanced solution to safeguard AI and LLM workloads. This solution enables organizations to mitigate risks effectively, ensure compliance, and secure critical assets, unlocking the transformative potential of AI in a safe and sustainable manner.

The Risks in AI and LLM Deployments

LLMs deliver transformative capabilities, from content generation and customer support automation to predictive analytics. However, their rapid implementation often outpaces security safeguards, leaving enterprises vulnerable to evolving risks.

Model theft poses a major threat as attackers target proprietary algorithms and training data, leading to severe financial losses and reputational damage. Similarly, prompt injection attacks and jailbreaks manipulate inputs to produce harmful outputs, enabling unauthorized actions or exposing sensitive information. Alarmingly, LLM attacks take just 42 seconds on average, with 20% of jailbreak attempts succeeding. In June 2024, the Financial Times reported on “Pliny the Prompter,” a hacker who exploited Meta’s Llama 3 and OpenAI’s GPT-4o to perform unintended actions, such as sharing instructions for making napalm.

Data leakage is another critical concern. LLMs trained on sensitive datasets may inadvertently reveal proprietary or personal information, compromising confidentiality. Compounding these risks are compliance challenges, where inadequate security measures expose organizations to regulatory violations like GDPR and PCI DSS, resulting in fines and operational disruptions.

Adding to these concerns is the potential for reputational harm if an LLM generates biased, unethical, or harmful responses. In October 2024, a Florida mother filed a lawsuit against Character.AI, alleging her 14-year-old son’s suicide was influenced by interactions with an AI chatbot that encouraged harmful behavior. This tragic case has drawn significant public scrutiny and damaged the company’s credibility. Such incidents underscore the critical importance of LLM scans to identify vulnerabilities, ensuring secure, ethical, and compliant deployments that prioritize user safety.

Security Gaps in AI Deployments

The rapid adoption of AI often leaves organizations with fragmented and inadequate security measures. Qualys data reveals 1.65 million detections across all AI/ML QIDs, highlighting that many enterprises lack visibility into their AI ecosystems, making it challenging to monitor deployments, identify vulnerabilities, and prioritize risks effectively. Without these insights, security teams may waste resources addressing low-impact issues while critical threats remain unaddressed.

Additionally, fragmented security tools hinder operational efficiency, preventing organizations from obtaining a holistic view of their risk landscape. This challenge is compounded by the absence of mature governance frameworks, leaving AI deployments exposed to breaches and compliance failures.

LLM Security Challenges

Enterprise security teams face mounting obstacles in securing AI workloads. The growing use of AI-enabled tools and embedded LLMs expands the attack surface, introducing new vulnerabilities that traditional security measures are ill-equipped to manage. As a result, security teams often spend excessive time addressing low-priority vulnerabilities while high-risk issues go unchecked.

Another significant challenge is the lack of collaboration between IT, security, and MLOps teams. Effective governance and risk mitigation require seamless coordination, but organizational silos often prevent teams from responding to threats comprehensively.

Introducing Qualys TotalAI: Measure the TruRisk of AI and Protect your AI and LLM Infrastructure

To tackle the growing challenges of AI and LLM security, Qualys has introduced Qualys TotalAI, a comprehensive solution designed to safeguard AI deployments. Built on the trusted Qualys platform, Qualys TotalAI seamlessly integrates with existing agents and scanners, delivering unparalleled visibility, precise risk prioritization, and proactive defenses—without adding complexity to workflows.

Qualys TotalAI enables organizations to discover, inventory, and protect AI workloads across development and production environments. This capability empowers security teams to maintain accurate asset inventories, classify resources, and monitor usage efficiently, ensuring complete visibility into their AI ecosystems.

The platform excels at targeted risk management, addressing high-impact vulnerabilities like model theft, jailbreaks, and data leakage. By focusing on critical risks, Qualys TotalAI streamlines security efforts while enhancing overall protection against evolving threats.

Another key strength is compliance readiness. Qualys TotalAI generates detailed reports demonstrating adherence to regulatory frameworks such as GDPR and PCI DSS, helping organizations avoid fines, safeguard sensitive data, and maintain trust. By unifying visibility, risk management, and compliance in one platform, Qualys TotalAI sets a new standard for securing AI investments.

 Key Benefits of Qualys TotalAI

• Complete visibility across your AI stack: Achieve unparalleled visibility into your AI ecosystem. Discover and inventory AI workloads, including packages, software, and hardware (e.g., GPUs), across production and development environments. Gain actionable insights into risks and exposure to the attack surface, enabling more effective security management.
• Assess your models for risk: Proactively evaluate LLM endpoints for critical exposures, such as data leaks, bias, or jailbreak vulnerabilities. Leverage OWASP Top 10 assessments to ensure your models are secure, compliant, and free from exploitable flaws, giving you confidence in your AI deployments.
• Advanced vulnerability assessment: Harness the power of over 1,000 AI-specific vulnerability detections correlated with TruRisk intelligence. Mitigate risks effectively by patching vulnerabilities and hardening your infrastructure to safeguard against model and data theft.
• Reporting and compliance: Stay ahead of regulatory requirements with comprehensive compliance capabilities. Generate LLM security reports for management and prevent fines from violations such as GDPR and PCI by maintaining robust AI security standards.
• Prevent model and data theft: Leverage AI-specific threat intelligence to assess and prioritize vulnerabilities. Implement tailored remediation strategies to prevent risks associated with model theft and sensitive data breaches, securing your AI investments.
• Unified collaboration for threat response: Align IT, security and MLOps teams with seamless collaboration tools to accelerate threat responses and streamline operational efficiency. Qualys TotalAI ensures your teams work together to maintain a strong security posture for your AI workloads.

Qualys TotalAI sets a new benchmark in AI security, enabling robust, streamlined risk management for enterprises.

Securing the Future of AI

As AI and LLM technologies continue to transform industries, robust security frameworks are more critical than ever. Qualys TotalAI provides organizations with the tools and insights to navigate this evolving landscape, empowering them to secure AI assets and minimize risks.

With comprehensive visibility, targeted risk management, and proactive defenses, Qualys TotalAI ensures enterprises can embrace AI innovation without compromising security or compliance.

Watch our Cyber Risk Series webinar to explore strategies for protecting AI workloads, mitigating risks, and ensuring compliance. Plus, get insights into Qualys TotalAI, now available for general release, and learn how it’s revolutionizing AI security.