SAFE Launches AI Security Platform to Tame Enterprise AI Risk

PALO ALTO, Calif. – May 28, 2026 – As enterprises race to embed artificial intelligence into every facet of their operations, a growing sense of unease has settled over boardrooms and security operation centers. Today, cyber risk management firm SAFE launched a new platform aimed at turning that anxiety into confidence, announcing its AI Security Posture Management (AI-SPM) solution designed to provide a unified command center for the sprawling, often chaotic world of enterprise AI.

The new capability promises to give organizations continuous, real-time visibility into their AI ecosystem, covering popular platforms like ChatGPT, Claude, Gemini, and Copilot. The launch comes as businesses find themselves caught between the immense promise of AI-driven productivity and the significant, often poorly understood, risks of exposing sensitive corporate data to these powerful new systems.

The AI Wild West: A New Frontier of Corporate Risk

The rush to adopt AI has created a digital 'Wild West' within many organizations. Industry analysis reveals a significant gap between AI adoption and security readiness. A recent survey of Chief Information Security Officers (CISOs) found that over three-quarters of organizations have either experienced an AI-related security incident or lack the visibility to know if one has occurred. The root of the problem, experts say, is a dangerous combination of fragmented tools and unchecked adoption.

This rapid, often unsanctioned, use of AI tools by employees—a phenomenon dubbed “shadow AI”—leaves security teams flying blind. “We know it’s happening, but we have no real way to see it, measure it, or stop it,” one CISO at a financial services firm commented in a recent industry report. This lack of visibility is a critical failure, as traditional security tools like firewalls and endpoint protection were not designed to interpret the conversational nuances of AI prompts or monitor the unique data flows between users and large language models.

As a result, many organizations are attempting to manage this new risk paradigm with a patchwork of outdated controls and fragmented policies. Some solutions focus on prompt inspection, others on policy management or application discovery, but few offer a holistic view. This leaves companies vulnerable to data leakage, compliance violations, and security breaches orchestrated through compromised AI systems.

SAFE's Answer: A Unified Command Center for AI Security

SAFE aims to address this very problem with its AI-SPM platform. The company asserts its solution was purpose-built to move beyond fragmented controls and provide a single, operational view that correlates AI activity, configuration risks, and business impact in real time.

"AI is fundamentally reshaping how enterprises operate," said Saket Modi, Co-Founder & CEO of SAFE, in the official announcement. "Organizations are now deploying AI tools deeply across workflows, operations, and employee productivity, often faster than security and governance teams can keep up. Most AI-SPM solutions provide only fragmented visibility into isolated parts of the problem. SAFE AI-SPM gives enterprises continuous visibility, AI-native risk intelligence, and autonomous workflows... enabling organizations to scale AI adoption faster and with greater confidence."

At the core of the platform is what SAFE calls its 'Real-Time AI Risk Graph.' This technology continuously ingests and correlates risk signals from five key dimensions: live AI activity, system configurations, external exposure, vendor contracts, and compliance evidence. The goal is to provide a business-aware understanding of AI exposure, allowing security teams to prioritize remediation efforts based on actual business impact rather than isolated technical alerts.

Further powering the platform is an 'Agentic Workflow Engine' that leverages over 100 specialized AI agents to automate security tasks. SAFE claims this engine can continuously monitor AI risk, investigate findings, trigger governance workflows, and escalate policy violations without adding manual overhead for already-strained security teams.

Beyond Point Solutions: Defining a New Market Category

The launch is a strategic bid by SAFE to define and lead the emerging AI Security Posture Management category. While the term is new, the need is not. Leading technology analysts at firms like Gartner and Forrester have been signaling the inadequacy of traditional security for AI for months. Gartner predicts that by 2028, over half of enterprises will use dedicated AI security platforms to manage the risks associated with both third-party and custom-built AI applications.

Prominent industry veterans are echoing the urgency. "AI is moving faster than any technology transition we've seen before, and enterprise risk is evolving just as quickly," stated John Chambers, founder of JC2 Ventures and former CEO of Cisco. "The companies that lead in AI will be the ones that move fast while maintaining trust, visibility, and control. With AI Security Posture Management, SAFE is helping organizations address one of the most important board-level issues in the AI era."

This sentiment is shared by those who have been on the front lines of corporate security. Michael Johnson, a former top security executive at the US Department of Energy, Capital One, and Meta Financial Technologies, noted the mismatch between legacy processes and modern AI. "AI tools are becoming deeply embedded in enterprise workflows, but traditional vendor risk processes were not built for this level of speed, access, and change," Johnson said. "SAFE AI Security Posture Management gives enterprises the operational control needed to govern AI adoption responsibly."

Navigating the Regulatory Maze

Beyond the technical threats, a complex web of AI-specific regulations is adding pressure. Frameworks like the landmark EU AI Act and the NIST AI Risk Management Framework in the United States are moving from guidance to enforceable law. These regulations demand that organizations demonstrate robust governance, risk management, data transparency, and human oversight for their AI systems.

For many companies, proving compliance is a daunting task, especially when they lack basic visibility into which AI tools are even in use. Solutions like AI-SPM are positioned as essential enablers of compliance, providing the auditable records of AI usage, data access, and risk mitigation that regulators will require. The ability to continuously monitor for policy violations and automatically generate compliance evidence could become a key differentiator for businesses operating in regulated industries.

Designed for rapid deployment without complex infrastructure changes, SAFE's platform appears timed to meet a market at a critical inflection point. As the initial hype around generative AI gives way to the hard work of secure implementation, enterprises are actively seeking tools that can help them harness the technology's power without inviting disaster. By unifying visibility, automating governance, and providing a clear line of sight into business risk, SAFE is betting it has the map for navigating the new AI landscape.

The company will be showcasing SAFE AI-SPM at the upcoming Gartner Security & Risk Management Summit in National Harbor, Maryland, from June 1-3. More information is available on the company's website.