It cannot protect you from unknown threats.
Introducing Program Behavior Intelligence™ (PBI™)
Program Behavior Intelligence™ (PBI™) is a patented approach to Application Detection and Response that addresses gaps left by traditional security layers, without requiring them to be replaced. Rather than continuing to chase an effectively infinite set of vulnerabilities, PBI focuses on enforcing how applications are allowed to behave. Using machine learning, it builds and maintains a runtime model of approved behavior, helping ensure applications operate within defined boundaries. This provides a different form of assurance, not by attempting to predict every possible exploit, but by limiting what an application is able to do in the first place. If an application can only execute what is expected, it becomes significantly harder to coerce it into doing something it was never designed to do.
The Problem
Cybersecurity is built on a flawed assumption: that threats can be identified before they cause harm.
Some modern tools attempt to address this using AI-driven predictive analysis, identifying patterns that may indicate an attack before it occurs.
While increasingly sophisticated, these approaches are still anchored to known threat vectors and prior behaviors.
As AI accelerates the discovery and exploitation of new and previously unseen vulnerabilities, our ability and opportunity to respond is rapidly disappearing, leaving organizations vulnerable and exposed to compromise.
This is why zero-day attacks continue to succeed, not because organizations are failing to address known vulnerabilities, but because existing cybersecurity tools mean they cannot protect against the ones they do not yet know about.
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The Solution
Vulnerabilities only matter when they are exploited to make an application deviate from its expected behavior.
Traditional security approaches try to solve this by tracking vulnerabilities, but this is an infinite problem.
A more effective approach is to focus on what can be known and controlled: how an application is expected to behave.
While behavior may be complex, it is finite. Applications operate within defined paths and constraints, producing outcomes that are ultimately predictable.
This makes behavior deterministic, and what is determinable can be enforced.
If an application is only ever allowed to behave as intended, it cannot be hijacked into doing something it was never designed to do.
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