Silverfort Purchases Fabrix to Bring AI to Access Decisions

Silverfort acquired a startup founded by a former software engineer in the Israeli prime minister’s office to bring an artificial intelligence-native approach to access decisioning.

See Also: The Context Crisis: Cloud Security in the Age of AI

Combining the Dallas-based identity security company’s runtime access enforcement with Tel Aviv, Israel-based Fabrix Security’s AI-driven decisioning will fundamentally change how access is managed in a future with millions of machine identities and agents, said Ben Goodman, vice president of strategic alliances and corporate development. Fabrix uses AI to simplify complexity around access rather than add to it.

“We saw they had some really novel technology in terms of how they could use AI to make decisions about access,” Goodman told ISMG. “As the speed of accessing different services with the emergence of AI increases, traditional methodologies for managing access were breaking down.”

“You can only hire so many humans, and those humans take vacations and go to the bathroom and walk away from their computers. Right now, you only want to bring a human in the loop when you need oversight, not for every single action.”

– Ben Goodman, vice president of strategic alliances and corporate development, Fabrix

Fabrix, founded in March 2025, emerged from stealth in September 2025 with $8 million of seed funding led by Norwest, Merlin Venture and Jibe Ventures, and currently employs 13 people. The firm has been led since its inception by Raz Rotenberg, who spent more than six years at Run:ai, culminating in a role as director of engineering and more than five years in the Israeli prime minister’s office (see: Silverfort Buys Rezonate to Fortify Identity Security Muscle).

How Knowledge Graph, AI Agents Enable Real-Time Decisions

Organizations historically relied on static policies to determine who could access what resources, but Goodman said these policies become exponentially more complex as enterprises grow. The rise of AI and non-human identities further compounds this challenge, he said, creating an environment where the sheer volume and variability of access requests make manual or rule-based systems impractical.

“As organizations get bigger and bigger and bigger, those policies become more and more numerous and more and more robust, and they become harder to manage,” Goodman said. “And then we add in complexities like AI and non-human identities, and all of a sudden, it just became completely unmanageable.”

At the core of Fabrix’s platform is a knowledge graph that aggregates contextual data about identities and resources, including user attributes such as role, behavior and location, as well as resource characteristics such as sensitivity and risk level, Goodman said. This contextual layer enables a much richer understanding of access requests than traditional systems, Goodman said.

“We saw what Fabrix had in terms of this really novel approach of using AI to make access decisions,” Goodman said. “We could break the cycle of more and more complex infrastructure and actually simplify it with the use of AI.”

On top of this knowledge graph sits a fleet of AI agents that evaluate access decisions in real time, analyzing the relationship between identity and resource dynamically and determining whether access should be granted at the moment it is requested. This runtime decisioning model contrasts sharply with static policy approaches, which often rely on predefined rules that can’t adapt to changing conditions.

“The first thing is to have that graph so you have the information and the context,” Goodman said. “Then when you pair that with a fleet of agents that actually understand identity, they can then now look at that graph and make a runtime decision about whether or not the identity I understand can access the resource I understand.”

From AI Defense to Threat Detection, Vulnerability Management

The acquisition is intended to enhance Silverfort’s existing capabilities across policy, decisioning and enforcement layers. Goodman explains that Fabrix’s technology will primarily augment the decisioning engine by introducing AI-assisted logic. Over time, Goodman said this capability will be embedded across the entire Silverfort platform, supporting a unified approach to access security.

“It provides better usability for the end user, better security for the organization, and we think, over the long run, will be actually more efficient as well,” Goodman said.

Integration of Fabric’s capabilities will begin with Silverfort’s newer AI security offerings, where Goodman said there is less legacy complexity. Over time, the goal is to embed AI decisioning across the entire platform, covering human, non-human and agentic identities as well as all environments, including on-premises and cloud systems, Goodman said.

“You can only hire so many humans, and those humans take vacations and go to the bathroom and walk away from their computers,” Goodman said. “Right now, you only want to bring a human in the loop when you need oversight, not for every single action. And so this potentially allows organizations to scale better. It allows them to perform better. It allows them to be more secure.”

Beyond access control, Goodman sees broad applications for AI decisioning within Silverfort’s platform including threat detection, where AI could help identify and respond to attacks more quickly, as well as vulnerability management, where it could prioritize remediation efforts. But Goodman stressed that access control remains the immediate focus.

“You need to be able to make these decisions very quickly, because by the time a human could actually get involved, the agent may no longer exist,” Goodman said. “We really believe to manage AI, you have to really move at AI speeds and that’s an important capability this brings in.”