A Milestone for Pillar: Honored as Frost & Sullivan's 2025 Competitive Strategy Leader for AI Security

Dor Sarig

and

September 17, 2025

min read

I am incredibly proud to share a momentous achievement for our company, our partners, and our customers. Pillar Security has been named the 2025 Competitive Strategy Leader in the global generative AI security industry by Frost & Sullivan.

This recognition is Frost & Sullivan’s top honor, and it follows a rigorous, independent market analysis of the entire GenAI security landscape. To be singled out for our strategy and execution in such a dynamic and critical field is a testament to the hard work of our team and the trust our customers place in us.

Frost & Sullivan’s report highlights several key strengths that define our approach:

Harmonizing Speed and Security

The report recognizes Pillar’s ability to harmonize security, compliance, and innovation. This enables organizations to move fast without losing visibility, to scale confidently without compromising safety, and to build with AI securely from the start.‍

‍A Purpose-Built, AI-Native Framework‍

Frost & Sullivan notes that our platform is not a superficial wrapper or a collection of repurposed security modules. Instead, it is a purpose-built, AI-native framework that reflects a profound understanding of what securing modern AI systems truly requires. This is guided by a DevSecOps-for-AI philosophy that places security at the core of every phase in the AI lifecycle. “While most solutions remain focused on static AI use cases, Pillar is already addressing the future: agentic AI. With the emergence of autonomous agents capable of invoking tools, browsing, and executing workflows, the risks and opportunities grow exponentially.” - Frost & Sullivan ‍

Leading in AI Asset Discovery‍

Pillar leads in AI asset discovery that goes beyond the CI/CD pipeline and the traditional SDLC, which is a critical need as organizations grapple with the rise of shadow AI. Through deep integrations with code repositories, data platforms, AI/ML frameworks, IdPs and local environments,, we provide unparalleled visibility into models, prompts, and datasets, often surfacing assets that teams didn’t know existed.‍

Advanced Adversarial Red Teaming‍

The analysis highlights our red teaming capability as a prime example of our differentiation. While many vendors rely on basic fuzz testing, Pillar simulates complex, multi-step threats using both white-box and black-box methodologies. This allows organizations to see how their AI systems might behave under coordinated attacks, which is much closer to real-world threat scenarios.‍

A Recursive Loop of Defense

‍Another example of our differentiation detailed in the report is our approach to runtime protection. Our guardrails are model-agnostic and continuously adaptive, learning from red teaming results, live usage patterns, and our threat intel feed. They don’t just block known threats but evolve, ensuring that protection remains effective as new vulnerabilities emerge and aligning with AI policies and regulations‍

Enterprise-Ready Architecture‍

“Pillar has gone to great lengths to ensure its solution is enterprise-ready. Its architecture supports hybrid, cloud, and on-premise deployment” . One of the most pressing needs of our customers is full fata control - and we solve it. We are also backed by SOC 2 Type II certification, robust role-based access controls, and seamless integration with SIEM and compliance systems.‍

A Foundation of Trust‍

“Clients don’t merely “use” Pillar; they embed it into how they define trust across AI systems” For many, especially those in regulated or high-risk sectors, Pillar delivers both peace of mind and strategic value.

Our Journey Forward

‍This recognition is a significant milestone, another step in a longer journey. We are honored to serve as a partner and trusted guide for enterprises navigating the complex terrain of generative AI risk. Our mission is to continue shaping how companies build and run secure AI systems.

Trust has become the currency of innovation in AI - and that is where Pillar stands apart. On behalf of the entire Pillar Security team, I want to extend my deepest gratitude to Frost & Sullivan for this honor, and to our customers for their partnership and trust. We look forward to helping more enterprises lead with confidence in this new era.

Read the full Frost & Sullivan report

If you’d like to learn more or see our technology in action, let’s talk.

FAQs

What did Frost & Sullivan recognize Pillar Security for in 2025?

Pillar Security was named the 2025 Competitive Strategy Leader in the global generative AI security industry by Frost & Sullivan. This is Frost & Sullivan's top honor, awarded following a rigorous, independent market analysis of the entire GenAI security landscape, recognizing Pillar's strategy and execution across AI application security.

How does Pillar Security's red teaming approach differ from other AI security vendors?

Unlike many vendors that rely on basic fuzz testing, Pillar simulates complex, multi-step threats using both white-box and black-box methodologies. This allows organizations to observe how their AI systems behave under coordinated attacks, producing results that more closely reflect real-world threat scenarios rather than simplified, single-vector test cases.

How does Pillar Security handle AI asset discovery beyond the CI/CD pipeline?

Pillar's AI asset discovery extends beyond the CI/CD pipeline and traditional SDLC through deep integrations with code repositories, data platforms, AI/ML frameworks, identity providers, and local environments. This approach provides visibility into models, prompts, and datasets — often surfacing assets that security and engineering teams were previously unaware existed, directly addressing the shadow AI problem.

Why are Pillar Security's runtime guardrails considered continuously adaptive?

Pillar's runtime guardrails are model-agnostic and continuously adaptive because they learn from red teaming results, live usage patterns, and a dedicated threat intelligence feed. Rather than only blocking known threats, they evolve as new vulnerabilities emerge, ensuring protection stays effective over time and aligned with current AI policies and regulations.

How does Pillar Security address the security challenges of agentic AI systems?

Frost & Sullivan notes that while most AI security solutions remain focused on static use cases, Pillar is already addressing agentic AI — autonomous agents capable of invoking tools, browsing, and executing workflows. Pillar's purpose-built, AI-native framework applies a DevSecOps-for-AI philosophy that embeds security across every phase of the AI lifecycle, including these emerging agentic architectures.