Unifying SaaS and AI Security: Why Vorlon Is Looking at the Forest, Not Just the Trees

Today marks a milestone for Vorlon and the broader security community: we’re launching the industry’s first unified platform for SaaS and AI security. This isn’t just another feature set or dashboard. It’s a reimagining of how enterprises manage risk, compliance, and innovation in a world where SaaS and AI are inseparable.

Over the past decade, SaaS revolutionized the enterprise, moving sensitive data and critical workflows into hundreds of connected apps. Now, a new wave is here: AI agents, copilots, and automated workflows are everywhere, initiating transactions, accessing data, and connecting SaaS systems at machine speed. This explosive growth has created new risks and blind spots that traditional SaaS security posture management (SSPM) tools were never designed to handle. Today, critical risks don’t just come from a misconfigured SaaS app or stale token, but from the web of integrations, secrets, and data flows that tie everything together.

The converging worlds of SaaS and AI

Not long ago, SaaS and AI were distinct domains, each with their own risks, stakeholders, and security tools. SaaS transformed how organizations share and collaborate, while AI was mainly confined to experimental or isolated use cases. But those lines have blurred. AI agents and copilots are now first-class citizens within the SaaS universe, connecting to the same data stores, APIs, and workflows as human users. 

In many organizations, AI is embedded within core SaaS platforms like Salesforce, Microsoft 365, and Google Workspace, automating tasks, analyzing sensitive information, and making real-time decisions. SaaS vendors are rushing to embed AI into their products. 

According to Gartner®,

“By 2028, enterprises will enhance productivity by replacing 60% of SaaS workplace applications that lack GenAI-driven capabilities with those that do.”

“33% of enterprise software applications will include agentic AI, up from less than 1% in 2024.”

This convergence introduces a new, often unmonitored, attack surface. AI agents inherit the permissions, secrets, and data access of the SaaS apps they integrate with. They can move information between systems at machine speed, trigger workflows, or connect shadow integrations that security teams may never see. Risks that once belonged to separate worlds—like shadow IT, overshared access, or API key abuse—now apply equally to SaaS users and AI automation. Treating SaaS and AI as separate problems leaves dangerous blind spots, where breaches spread undetected and compliance risks multiply.

At Vorlon, we recognized early on that you can’t secure your AI future by focusing on SaaS and AI in isolation. You need unified visibility and control across the entire ecosystem for every app, every user, every AI agent, and every data flow. Vorlon closes this gap, delivering comprehensive oversight at the speed and scale that the intelligent enterprise demands, providing you with visibility, reassurance, and control.

Our focus: securing SaaS and AI as one attack surface

As we built out new capabilities to secure AI adoption in the enterprise, we faced a fundamental choice: Should we tackle AI threats deep inside the LLMs?

We considered covering LLM vulnerabilities like prompt injection and jailbreaking. These attacks manipulate LLM input to generate harmful or unintended outputs or bypass safety mechanisms. Addressing them requires invasive deployment models, often embedding security controls directly into the AI application stack or inserting guardrails at every user input.

But here’s the reality: That approach would have taken us away from where we see the most customer demand and risk–the broader SaaS and AI ecosystem. Focusing on the “trees” (individual prompt attacks) would have meant missing the massive scale of the “forest”: the dynamic, interconnected landscape where sensitive data, identities, and automation move across hundreds of sanctioned and unsanctioned apps, APIs, and AI agents.

Most real-world breaches we see aren’t about a single chatbot gone rogue. They’re about shadow integrations, stale secrets, or an AI agent with excessive permissions quietly moving data between apps. The ecosystem is where the most urgent and unaddressed security challenges exist.

“I need to see everything.”

Our customers tell us they need to see everything: every user, every AI agent, and every data flow, regardless of whether a human or machine initiates it. They need real-time, explainable alerts when sensitive data moves, excessive permissions are granted, or when an unsanctioned AI agent starts acting outside its lane. They need to investigate and respond in minutes, not months. And they need to do it without slowing down the business or disrupting how teams use AI and SaaS to innovate.

Big-picture context

We want to give security and compliance teams the big-picture context: a living map of their entire SaaS and AI ecosystem. Point solutions that only tell you if a prompt was manipulated are helpful. Our focus is on whether a GenAI tool or AI agent could access payroll data in Workday or if a shadow integration is quietly moving customer records to an unsanctioned AI model via an API or MCP server (Model Context Protocol Server). We show you how your sensitive data moves, who (or what) is accessing it, and what to do next across the whole landscape, not just one endpoint.

Charging ahead: ecosystem-first, context-aware security

The future of security isn’t about picking between SaaS or AI or focusing on a single attack vector. It’s about seeing and managing the entire, ever-changing ecosystem: every user, every machine identity, every data flow, every automation.

With today’s launch, Vorlon is delivering the first platform that unifies shadow AI discovery, sensitive data flow mapping, anomaly detection, and compliance-ready reporting across SaaS, AI agents, and everything in between.  Our MCP server and DataMatrix™ technology are at the core of this ecosystem-first approach, giving you context-aware, actionable oversight of every data movement, no matter where innovation takes you.

If you’re ready to see the forest—not just the trees—I invite you to join the conversation in our upcoming webinar on Why AI and SaaS are Now the Same Attack Surface, featuring Justin Lam, Analyst at S&P Global Market Intelligence 451 Research.

We’re excited to help you secure your future.

1.  Gartner TSP 2025 Trends: Agentic AI — The Evolution of Experience, 24 February 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

2. Gartner Data and Analytics Leaders and Programs: Over 100 Data, Analytics and AI Predictions Through 2030, 2 May 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

About the author

Amir Khayat, CEO

Amir Khayat is the CEO and co-founder of Vorlon. Amir has over 17 years of cybersecurity experience, including software development, and GTM roles. Amir served in the Israeli Defense Forces as a commander and combat soldier at the Paratrooper’s Elite Operations Unit. He graduated from Reichman University, Herzliya, Israel (IDC) with a BA in Computer Science, and he holds an MBA from the Hebrew University of Jerusalem. Amir lives in the Bay Area with his wife and three children.