AI and the End of Traditional Cybersecurity: A Conversation with Barak Schoster

Cybersecurity is at a turning point, largely driven by rapid advancements in artificial intelligence (AI). My recent conversation with Barak Schoster—a renowned cybersecurity expert and entrepreneur—highlighted AI’s profound impact on the field. Schoster, who founded Bridgecrew (now part of Palo Alto Networks), has extensive experience in advanced threat protection and innovative security solutions.

AI’s Role in Cybersecurity
Schoster put it simply: “The boundaries have been broken.” Traditional security methods, such as endpoint protection and perimeter-based defenses, are no longer enough in an era dominated by cloud computing and fast-moving data. By 2025, Gartner predicts that 85% of enterprises will primarily operate in cloud environments, demanding proactive and adaptive security models.

Emerging Challenges
Organizations are increasingly using cloud platforms and SaaS applications, introducing new risks. AI-driven productivity tools, while boosting efficiency, also heighten vulnerabilities—through unintended data leaks and unsecured exchanges. Employees frequently use tools outside corporate oversight, raising serious security concerns. Schoster noted that open-source adoption accelerates software distribution but requires strategic monetization. “We moved from single-player mode, where developers benefited individually, to multiplayer mode, which brought real enterprise value,” he explained.

AI’s Double-Edged Impact
AI both expands the attack surface and enhances defense capabilities. Schoster pointed out that deepfakes and automated phishing campaigns have significantly lowered the cost and complexity for cybercriminals. However, AI-powered security tools can automate complex tasks, improving efficiency and resilience.

The urgency is clear: AI-driven phishing attacks have increased by over 2,000% in the past year alone, according to Team8. This escalation highlights the need for real-time security interventions. Bridgecrew leveraged AI for instant monitoring and security enforcement, shifting cybersecurity from reactive threat detection to proactive prevention.

The Future of Cybersecurity
This transformation reflects a larger industry shift. AI can dramatically reduce vulnerabilities, minimize false positives, and enhance productivity by automating critical security tasks—allowing experts to focus on strategic objectives. Schoster predicts that static defenses and perimeter-based models will soon be obsolete. “Execution, speed, and adaptability have become more important than traditional moats like IP or patents,” he asserted.

Organizations must embrace AI-powered security strategies or risk being replaced by more agile competitors. As Schoster warned, “Those that fail to adapt quickly enough will inevitably be replaced by innovative, AI-driven newcomers.” The future of cybersecurity depends on agility, automation, and a forward-thinking approach.