PRE Security, the Predictive Cybersecurity Company, launched a major update to its AI Native SecOps platform, introducing major enhancements to its AI Data Fabric and predictive modeling capabilities.

Proactive Security Becomes Reality

PRE Security was founded with the mission to introduce predictive analytics into cybersecurity, helping companies transition from reactive to proactive security postures. The latest release of the PRE SecOps platform builds on that foundational promise by incorporating breakthrough innovations that push the boundaries of what’s possible in predictive cybersecurity.

“The cybersecurity industry has been stuck in a reactive cycle for too long,” said Bob Darabant, VP of US Sales at PRE Security. “While others focus on detecting threats after they’ve already entered the environment, we’re fundamentally changing the game by predicting and preventing attacks before they happen.”

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PRE Security’s Revolutionary AI Ingestion Pipeline and Data Fabric

In a recent demonstration of the new enhancements, John Peterson, Co-Founder of PRE Security, explained the significance of PRE’s unique approach: “One of the features that our customers and partners are most enthusiastic about is our AI Data Fabric vision. In this latest release, we’ve applied expanded predictive AI innovations to the pipeline, giving PRE Security a unique competitive edge by adding a layer of statistical memory to our AI-driven data pipeline.”

This statistical memory represents a breakthrough in AI SOC cybersecurity, capturing the natural flow of attacker behavior patterns and producing more accurate, trustworthy, and stable predictions earlier in the data pipeline. By combining generative AI with proven deterministic statistical methods, PRE Security is leading the industry toward the next generation of proactive, predictive cybersecurity across the entire SecOps workflow.

“Traditional security solutions are limited by their reactive nature and dependence on known threat signatures,” Peterson continued. “Our AI Data Fabric doesn’t just ingest, enhance, and analyze data—it learns, remembers, and predicts with unprecedented accuracy, making the platform’s generative detections and predictions even more reliable while dramatically reducing alert fatigue and false positives.”

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Advanced Monte Carlo Scenario Modeling

The latest platform release also introduces several enhancements to the Predictive AI, such as sophisticated Monte Carlo scenario modeling capabilities, allowing security teams to simulate thousands of potential attack vectors and their probable outcomes. The PRE solution even goes one step further with continuous evaluation of predictions made for self-learning and improvement. Layered onto the current AI Native detections and predictions, this advanced modeling allows organizations to better quantify risk probabilities and test defense strategies as they move to more proactive cybersecurity with the aim of removing the guesswork from SecOps.

“PRE Security continues to lead the way in AI SOC innovations. Unlike point solutions, such as Co-Pilots, Autonomous SOC solutions, or limited data fabrics, that only look at part of the problem, PRE brings AI-native innovations to every phase of the SecOps workflow,” explained Paul Jespersen, Co-Founder of PRE Security. “We strongly believe that legacy SIEM and SOC architectures have passed their expiration dates for usefulness, and incremental AI add-ons are not enough to stay ahead of today’s SecOps challenges. Only by accruing the benefits of AI through the entire workflow can companies start to build a proactive defense.

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Source: prnewswire

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