Bridging the Needs of Cybersecurity and AI Teams by Advancing the Next Stage of Scalable, Secure AI through MLSecOps: Protect AI

As artificial intelligence (AI) and machine learning (ML) continue to revolutionize industries, ensuring the security of these cutting-edge technologies becomes paramount. Protect AI has positioned itself at the forefront of this challenge, offering the most comprehensive platform to secure AI systems. The company’s innovations, including its AI Security Posture Management (AI-SPM) and MLSecOps (Machine Learning Security Operations), ensure that AI is not only deployed but deployed safely and securely, without compromising innovation. Protect AI was born out of this necessity. As the company’s founders, who once ran some of the largest AI businesses globally, observed the rapid deployment of ML models, they saw the increasing threat posed by vulnerabilities unique to AI systems. AI applications, particularly Large Language Models (LLMs), introduce new risks, from adversarial prompt injection to data leakage. Protect AI recognized that traditional cybersecurity tools could not fully address these challenges, so it built a platform that integrates AI and cybersecurity to safeguard AI development at scale.

At the core of Protect AI's mission is the desire to empower both AI developers and cybersecurity teams. The platform's solutions help ensure that AI systems are secure without disrupting innovation. This delicate balance between security and creativity is essential, given AI’s evolving role in reshaping industries.

Guardian: Zero Trust for ML Models

Guardian is the flagship solution for protecting ML models throughout their lifecycle. It scans both first-party and third-party models to detect hidden risks that could be exploited by malicious actors. Guardian adds a layer of Zero Trust security, ensuring that unsafe models are blocked from being used in enterprise environments. Guardian’s proprietary vulnerability scanning goes beyond traditional malware detection, identifying unique risks that can be embedded in ML models during development or deployment.

What sets Guardian apart is its ease of integration into existing MLOps workflows. AI teams can continue innovating without worrying about compromising security. Guardian automatically scans models before they are distributed, ensuring they meet security standards and are safe for use.

Layer: Comprehensive LLM Security

With the rise of generative AI applications in corporate environments, Layer offers a scalable solution for managing the unique security risks posed by Large Language Models (LLMs). Protect AI’s Layer product provides tools for detecting and mitigating data leakage, adversarial prompts, and integrity breaches. Built on the expertise of the company’s earlier product, LLM Guard, Layer introduces a no-code workflow that empowers security and AI teams to collaborate efficiently, while ensuring that LLMs are deployed securely.

Layer’s end-to-end approach analyzes LLM interactions, from prompts to responses, checking for compliance and security risks. It offers organizations the flexibility to deploy any LLM model while enforcing strict guardrails and policies to ensure safe usage.

Radar: AI Risk Assessment and Management

Radar is Protect AI’s comprehensive solution for assessing and managing AI risks. As AI becomes more deeply integrated into enterprise environments, AppSec and ML teams need a clear view of their systems’ vulnerabilities. Radar provides end-to-end visibility across the AI landscape, enabling teams to quickly detect and mitigate risks in ML models and datasets.

Radar’s extensive features, including AI risk standardization and policy enforcement, allow organizations to secure their AI/ML resources while complying with regulatory requirements. Its tamper-proof ledger provides full auditability, and its flexible integration ensures compatibility with existing AI workflows.

Sightline: The First AI/ML Supply Chain Vulnerability Database

As AI models increasingly rely on open-source libraries and third-party dependencies, managing the security of the AI/ML supply chain becomes a priority. Sightline addresses this gap by offering the first vulnerability database tailored specifically to AI and ML models. This early warning system helps teams detect vulnerabilities an average of 30 days before they are publicly disclosed.

Protect AI’s partnership with huntr, the largest community of AI-focused security researchers, ensures that Sightline remains at the cutting edge of AI vulnerability detection. By integrating insights from both first-party and third-party research, Sightline provides organizations with the tools they need to defend against threats and secure their AI supply chain.

The MLSecOps Movement

Central to Protect AI’s vision is the concept of MLSecOps, which brings security into every stage of AI/ML development and deployment. Traditionally, security has been an afterthought in AI projects, but Protect AI is leading a shift toward integrating security from the outset. MLSecOps combines the best practices of DevSecOps with the unique requirements of AI, ensuring that AI developers, ML engineers, and security teams collaborate seamlessly to mitigate risks. The Protect AI platform empowers a growing community of AI-focused security researchers, encouraging collaboration and innovation in addressing ML-specific vulnerabilities.

The Future of AI Security

Protect AI is not just responding to current security challenges; it is actively shaping the future of AI security. As generative AI and LLMs become more sophisticated, the risks associated with their use will only increase. Protect AI’s ongoing research and development ensures that its platform evolves alongside these technologies. The company’s solutions are already in use by leading enterprises that are deploying AI across industries such as finance, healthcare, and technology. As more organizations recognize the value of AI, they will need platforms like Protect AI to secure their operations and protect against emerging threats.

As the adoption of AI accelerates, the role of Protect AI will become even more critical in helping organizations navigate the complex and evolving landscape of AI security. With a commitment to safeguarding the future of AI, Protect AI is not just a security provider—it is a partner in building a safer, AI-powered world.

Ian Swanson, CEO and Founder

“Protect AI is not just responding to current security challenges; it is actively shaping the future of AI security”