Ridge Security Unveils Agentic AI Penetration Testing Platform to Bring Continuous Security Validation to SMBs

At RSAC 2026, Ridge Security introduced a new iteration of its PurpleRidge Security platform, positioning it as a shift in how smaller organizations approach penetration testing and continuous threat exposure management. The Silicon Valley company, known for its AI-driven offensive security tools, is now leaning into agentic AI to automate what has traditionally been a labor-intensive and costly process.

PurpleRidge is designed as a fully self-service penetration testing platform aimed at small and mid-sized businesses and managed security service providers. Built on Google Cloud and powered by a Gemini large language model, the system reflects a broader industry transition from earlier machine learning approaches to more autonomous AI agents capable of reasoning, adapting, and executing multi-step security testing workflows.

The move comes as organizations face an increasingly complex threat landscape shaped by AI-enabled attackers. Automated exploitation tools, rapid attack cycles, and shrinking response windows have made periodic testing insufficient. Continuous validation is quickly becoming a requirement rather than a best practice, yet many smaller organizations lack the in-house expertise or budget to support it.

PurpleRidge attempts to close that gap by functioning as an always-on offensive security layer. Instead of relying on scheduled assessments or external consultants, the platform continuously probes systems, identifies weaknesses, and validates defenses in real time. The company says this approach enables organizations to maintain a more accurate understanding of their security posture while also supporting compliance initiatives that demand ongoing verification.

The release also signals a broader architectural evolution within Ridge Security’s product portfolio. While its flagship RidgeBot platform has long delivered automated penetration testing for enterprise customers, PurpleRidge introduces a more advanced AI framework centered on agentic behavior. This allows the system to move beyond predefined scripts and instead dynamically plan and execute attack simulations based on changing environments.

For MSSPs, the platform could offer a scalable way to deliver continuous testing services across multiple clients without significantly increasing operational overhead. For SMBs, it provides access to capabilities that have historically been limited to larger enterprises with dedicated red teams.

"PurpleRidge acts as a dedicated security team for organizations without dedicated resources, tirelessly validating defenses against AI-based attacks and compliance mandates so they can focus on growth. It's the first solution to combine LLM reasoning with deep cybersecurity expertise in a fully self-service package," said Lydia Zhang, President and Co-founder of Ridge Security.

The emphasis on self-service is central to the platform’s positioning. By reducing the need for specialized operators, Ridge Security is betting that autonomous systems can democratize advanced security testing in the same way cloud computing expanded access to infrastructure.

As agentic AI continues to reshape both attack and defense strategies, platforms like PurpleRidge highlight a growing convergence between automation and offensive security. The key question for the industry is whether these systems can consistently deliver the depth and reliability of human-led testing, or if they will serve as a complementary layer in an increasingly hybrid security model.

For now, Ridge Security is aiming squarely at a segment that has been underserved for years, offering a glimpse into how continuous, AI-driven penetration testing could become standard practice across organizations of all sizes.