Zero Networks, the leading provider of Zero Trust security solutions, has announced Least Agency Enforcement, a new capability that applies the Open Worldwide Application Security Project's (OWASP) principle of Least Agency to help organizations safely deploy AI agents. Using identity-based microsegmentation, policy automation, and just-in-time MFA for privileged access, Zero Networks ensures that AI agents communicate only with explicitly authorized systems, only access approved resources, and require human approval before performing sensitive administrative actions.
Zero Networks launches Least Agency Enforcement to apply OWASP's Least Agency principle for AI agent security.
Nearly 80% of enterprises have deployed internal AI agents, yet two-thirds lack governance policies, according to Zero Networks research.
The capability uses identity-based microsegmentation, policy automation, and just-in-time MFA to enforce agent boundaries.
Least Agency Enforcement limits agents to only required systems, prevents lateral movement, and requires human approval for sensitive actions.
The solution works across cloud, on-premises, Kubernetes, IoT/OT, and hybrid environments.
The capability builds upon Zero Networks' AI Security platform including AI Agent Control, AI Segmentation, and AI SaaS Control.
Zero Networks' 2026 Lateral Movement Exposure Report research reveals that nearly 80% of enterprises have already deployed internal AI agents, yet two-thirds lack governance policies for them — creating rapidly expanding, unmanaged attack surfaces. As organizations grant AI agents the ability to access enterprise systems, invoke privileged tools, and make decisions with minimal human oversight, they must also define and enforce appropriate levels of autonomy. The OWASP Agentic Applications Top 10 Project's Least Agency principle recommends constraining an agent's autonomy, tool access, and decision-making authority to reduce the impact of prompt injection, privilege abuse, and compromised AI agents.
Unlike governance frameworks that document policy, Zero Networks enforces Least Agency across cloud, on-premises, Kubernetes, IoT/OT, and hybrid environments. With Least Agency Enforcement, organizations can limit AI agents to only the systems and services required for their assigned task; prevent lateral movement between applications, infrastructure, and administrative systems; require Just-in-Time MFA before AI agents access privileged ports or sensitive infrastructure; automatically generate and enforce least-privilege communication policies without manual rule creation; and contain compromised, manipulated, or over-permissioned AI agents before they can impact critical business systems.
"Least privilege works because it is simple: give people access to what they need, nothing more. We're doing the same thing for AI agents, except now it must be automatic, because nobody has time to babysit a thousand agents by hand," said Benny Lakunishok, CEO and Co-founder of Zero Networks. "If an agent gets fooled or misused, it should hit a wall almost immediately, not wander around the network looking for something valuable. That's the bet we're making: less freedom for the agent now, which beats explaining a breach later."
Least Agency Enforcement builds upon Zero Networks' AI Security platform, including AI Agent Control, AI Segmentation, AI SaaS Control, and protection for enterprise LLM deployments. Together, these capabilities provide organizations with an enforcement layer that allows AI innovation to proceed without sacrificing security or cyber resilience.
About Zero Networks
Zero Networks helps organizations prevent attacks, minimize blast radius, and maintain business continuity – even when attackers get inside. By making every connection verified and intentional through identity-driven microsegmentation, Zero Networks tightly limits lateral movement, reduces operational risk, and strengthens cyber resilience. The platform deploys quickly and enforces adaptive, automated policies that eliminate manual management, technology sprawl, and long-term operational debt. The result is simpler, more resilient security that lowers cost and complexity while enabling organizations to scale, preserve uptime, protect revenue, and meet compliance requirements as environments evolve.
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