As organizations continue to adopt AI technologies, cybercriminals are also leveraging automation and AI to accelerate attacks, reduce time-to-compromise, and expand lateral movement across enterprise environments.

In a recent company announcement, Benny Lakunishok, CEO and Co-Founder of Zero Networks, emphasized that legacy security models are struggling to keep pace with the speed and scale of AI-powered attacks.

He advocated for a more architectural approach to cybersecurity, centered on limiting lateral movement, reducing attack paths, and containing threats before they can disrupt business operations.

This vision underpins what Zero Networks calls Micro-segmentation 3.0, an evolution of traditional segmentation that combines automation, identity-based controls and rapid threat containment to address the realities of the modern threat landscape

From Visibility to Containment

Traditional micro-segmentation initiatives have often been associated with lengthy deployment cycles, complex policy management, and significant operational overhead.

According to Zero Networks, Micro-segmentation 3.0 is built around three key principles:

• Faster deployment through extensive automation;
• Simpler day-to-day operations;
• Protection designed specifically to counter AI-accelerated threats.

The objective is no longer simply to see and detect threats, but to prevent attackers from moving laterally, escalating privileges, and reaching critical systems.

Rethinking Zero Trust

The critical question is no longer:

“How do we stop every attack?”

Instead, organizations should ask:

“If an attacker gets in, how far can they go?”

For more information: Zero Networks Accelerates Enterprise Growth as AI-Speed Attacks Reshape Segmentation Buying

Feel free to contact us (sales@idc.it) for an obligation-free chat to demonstrate how Zero Networks can help improve your organization security!