Author: Roman Arutyunov, Co-Founder and SVP Products, Xage Security 

Data is the fuel that powers AI. Every day, we see security tools touting new AI and machine learning capabilities. But what’s often overlooked is the foundational ingredient that determines the success—or failure—of these capabilities: the data itself.

When it comes to AI, the old adage still rings true: garbage in, garbage out (GIGO). If your AI is fed with corrupted, incomplete, or tampered data, its insights and decisions will be equally flawed. In cybersecurity—especially when protecting critical infrastructure like electric utilities or water systems—bad data can be a risk to human safety, environmental stability, and operational continuity.

Not All Data Is Created Equal

In cybersecurity, one of the most commonly used data sources is logs. Unfortunately, logs have long been considered unreliable narrators. Sophisticated threat actors—especially Advanced Persistent Threats (APT) using “living-off-the-land” tactics—know how to manipulate, erase, or even create logs to cover their tracks. 

This presents a challenge: how can organizations trust the data feeding their AI-driven tools? How can they ensure that the intelligence guiding their defenses is built on solid ground?

Tamper-Proof by Architecture: Xage’s Advantage

The logs produced by the Xage Fabric are fundamentally different from most solutions thanks to Xage’s unique architecture. 

Xage Fabric is built on a distributed ledger architecture, which makes both the systems it protects and the data it produces inherently tamper-proof and immutable. Unlike traditional logs, Xage’s data cannot be altered or deleted by attackers seeking to cover their footprints. 

This audit-quality data is not only more trustworthy—it’s also more granular and rich in context. Because Xage Fabric is deployed universally across IT, OT, and cloud environments, it captures access and behavior data from every corner of the enterprise. When fed into AI, that means systems are trained and powered by a broader, more accurate picture of what’s actually happening in your environment.

Better Data, Smarter AI, Stronger Security

High-quality, tamper-resistant data empowers Xage’s AI engines to perform as intended: identifying anomalies, adjusting policies, and accelerating response—all with greater accuracy and speed. 

Outside of the Xage platform, security teams benefit from this data across the security stack, with the ability to ingest Xage data into tools like SIEM, SOAR, and XDR tools.

In an era where AI is rapidly becoming a core part of every cybersecurity stack, the differentiator isn’t just the algorithm—it’s the data behind it. Xage gives enterprises an edge by providing a data foundation they can trust.