SAFE announced the expansion of its Agentic AI strategy with the release of 12+ new autonomous agents, over the next 3 months, purpose-built for third-party risk. The next two AI agents are SnapShot and BreachWatch which help organizations proactively organize AI summaries and identify third-party breaches respectively. These and the full line up of specialized AI agents allow for dynamically tiering of vendors based on risk and business impact. These capabilities empower faster, more accurate decision-making across the TPRM lifecycle.
Unlike checkbox compliance tools that confuse form-filling with true risk management or vanity scoring solutions that rely solely on superficial external scans, SAFE’s Agentic AI agents work from the inside out. They automate the real work of identifying, prioritizing, and remediating third-party risk.
“Legacy solutions weren’t built for today’s risk landscape,” said Saket Modi, CEO and co-founder of SAFE. “SAFE is transforming TPRM by automating the most painful and time-consuming work. The addition of SnapShot and BreachWatch is another leap forward in our mission to modernize risk programs with Agentic AI. We are replacing complexity with clarity and manual effort with machine precision.”
SAFE’s growing fleet of more than 25 AI agents is redefining how enterprises handle third-party risk across the full lifecycle. From intake and onboarding to continuous monitoring and offboarding, each agent is purpose-built to automate high-friction tasks, eliminate delays, and unlock better business decisions. What once took hours or days can now be done in seconds. This eliminates the need for vendor follow-ups and ensures complete, real-time data.
SnapShot scans public records, news, cybersecurity reports, and even the deep and dark web to detect recent breaches involving vendors. It acts as an early-warning system so teams are never caught off guard. BreachWatch continuously analyzes vendor business criticality, network and data access, control posture, and breach history to deliver real-time risk tiering. This allows teams to focus on the vendors that matter most.
SAFE’s Agentic AI strategy delivers automation at enterprise scale while preserving the human oversight needed for high-stakes decisions. Built with a human-in-the-loop model, the platform enables teams to review, approve, or override any agent-driven action. This ensures speed, accuracy, and trust in every step of the process. SAFE’s AI agents are designed not only for autonomous execution of individual tasks but to work together across the entire TPRM lifecycle. They form a cohesive system that continuously identifies, prioritizes, and mitigates vendor risk.
“SAFE’s Agentic AI strategy has fundamentally changed the way we manage third-party risk. Instead of stitching together spreadsheets, tools, and manual reviews, we now have a unified system that works autonomously to streamline intake, onboarding, and risk assessment, while giving us full visibility and control. As a result, we have reduced cycle times, scaled our team’s impact, and shifted focus from operational bottlenecks to strategic decision-making.”
“The real power of SAFE lies in how its agents collaborate as an autonomous system. We are seeing faster vendor reviews, clearer prioritization, and greater confidence in the decisions we present to the business. The platform gives us the speed and coverage we have always needed while maintaining the level of oversight and trust our program demands.”
