26 October 2026
AI is changing cybersecurity on both sides.
Organizations are using it to accelerate innovation and security operations, while attackers can leverage increasingly capable tools to automate and accelerate offensive activities.
This raises a critical question: what happens when an AI-powered attacker gets inside the network?
A recent evaluation involving Zero Networks and the Anthropic Cyber Verification Program provides a clear example of how microsegmentation can limit the impact of an AI-driven attack:
1. Initial compromise: A frontier AI model successfully compromised an intentionally unsegmented machine.
2. Privilege escalation: It gained administrator access and extracted credentials.
3. Lateral movement attempt: The model then attempted to use those credentials to move toward protected systems.
4. Attack contained: Microsegmentation stopped the attack from progressing beyond the compromised system.
During the evaluation, the model attempted 18 attack paths, used 23 offensive tools and touched 22 MITRE ATT&CK techniques, yet was unable to move any further.
Containment is critical: The test highlights a broader security principle: organizations cannot assume that every initial compromise can be prevented.
As AI makes offensive capabilities faster and more automated, security strategies must also focus on containing attacks after the first point of compromise.
Microsegmentation can help reduce unnecessary communication paths and limit lateral movement.
The objective is simple: a compromised endpoint should not automatically become a gateway to critical systems, identities and data.
In an era of machine-speed attacks, cyber resilience will increasingly depend not only on keeping attackers out, but also on ensuring that when they get in, they have nowhere else to go.
Feel free to contact us (sales@idc.it) for an obligation-free chat to demonstrate how Zero Networks can help improve your organization security!