Cato Networks introduces AI-powered policy analysis engine

Cato Networks this week announced a new policy analysis engine for its cloud-based secure access service edge platform that the company says will optimize and improve SASE policies, reduce risk, simplify compliance, and reduce manual maintenance efforts.

Cato Autonomous Policies is built into the Cato SASE Cloud Platform and can provide enterprises with AI-driven recommendations to eliminate security exposure, tighten access controls, and improve network performance. The first use case of the policy engine is designed for firewall as a service (FWaaS) environments in which “firewall rule bloat” is present, Cato explained in a statement. The bloat comes from organizations accumulating thousands of rules that were designed to protect the environment, but after becoming outdated or misconfigured, actually lead to increased risk.

“Most enterprises rely on a mix of firewalls deployed in data centers, branch offices, and cloud environments. Over time, rule sets grow, become inconsistent, and are filled with redundant, outdated, or conflicting entries,” wrote Demetris Booth, product marketing director at Cato Networks, in a blog post on the product news. “As a result, security policies become hard to manage, even harder to audit, and often misaligned with zero-trust principles. AI-driven firewall policy management is necessary for modern enterprises to streamline and optimize security operations.”