By Michael Matias, CEO of Clarity and Forbes 30 Under 30 alum

Cybersecurity is at a turning point, driven by artificial intelligence (AI). My conversation with Jonathan Roizin, CEO of Flow Security—now part of CrowdStrike—reinforced the urgent need for organizations to rethink data protection strategies in an era of dynamic, fluid information exchange.

The Shifting Nature of Data Security
Roizin, a veteran of elite Israeli cybersecurity organizations, has spent over 15 years tackling cyber threats. His focus on "data in motion" highlights a critical reality: data no longer sits in static environments. It moves continuously across cloud services, SaaS platforms, and APIs, fundamentally altering security needs.

The stakes are enormous. IBM’s 2023 Cost of a Data Breach report revealed that the average breach now costs $4.45 million. Meanwhile, organizations use over 130 SaaS applications, a number increasing nearly 18% annually. Yet, many still rely on outdated security models that assume clear perimeters around data.

The Decline of Traditional Defenses
Roizin emphasized the need to move beyond legacy Data Leakage Prevention (DLP) strategies, which were designed for endpoint security and internal networks. “The boundaries have been broken,” he explained. As organizations migrate to cloud environments like AWS, Google Cloud, and Microsoft Azure, perimeter-based security models are becoming ineffective. Gartner predicts that by 2025, 85% of businesses will operate primarily in the cloud.

AI as a Threat and a Defense Mechanism
The rise of AI compounds security challenges. AI-powered tools—such as coding assistants and automated meeting note-takers—introduce new vulnerabilities. Employees often share sensitive information through unmonitored AI platforms, inadvertently exposing critical data. A Team8 report found AI-driven phishing attacks have surged by more than 2,000%, with nearly half using GPT-generated communications.

Yet, AI also strengthens cybersecurity. Flow Security leverages AI-driven automation to classify and monitor sensitive data in real time, providing dynamic protection that traditional security models cannot achieve.

The Urgent Need for Proactive AI Integration
The future of cybersecurity demands a philosophical shift—security cannot rely on passive visibility. Instead, AI-driven real-time interventions must become the norm. Roizin and I share a conviction: cybersecurity teams should not simply identify risks but actively prevent breaches before they occur.

My work at Clarity reinforces this belief. AI-driven techniques can protect organizations far more effectively than reactive security models. Intelligent automation minimizes false positives, allowing security teams to focus on genuine threats rather than being overwhelmed by noise.

Looking Ahead
This conversation reaffirmed my thesis: cybersecurity must evolve alongside rapidly shifting technological landscapes. Static security frameworks no longer suffice. Organizations must integrate AI-driven defense mechanisms that adapt to the continuous movement of data—or risk falling behind.

Those who embrace this paradigm will unlock unprecedented security resilience. Those who delay may find themselves vulnerable to increasingly sophisticated cyber threats.