Cato unveils AI-driven networking and security incident detection and response

Cato Networks announced the addition of network incident detection and response tools to the Cato SASE Cloud platform. With Network Stories for Cato XDR, advanced AI algorithms instantly identify outages in customer networks and conduct root cause analysis. NOC and SOC teams now have a common platform for improved collaboration and channel partners can quickly bring NOC-as-a-service (NOCaaS) offerings to market.

"With our converged security and networking platform, we leverage advances in one domain, in this case security, to help another domain -- networking," says Shlomo Kramer, CEO and co-founder of Cato Networks. "Our security-trained AI has now been expanded to help NOC teams become smarter, faster, and more proactive than ever. This is the value of a true SASE platform."

Element Solutions, Inc. (ESI), a leading specialty chemicals company, relies on Cato SASE Cloud to connect and secure 118 locations and cloud instances, and nearly 4,000 remote users with Cato's NGFW, threat prevention (NGAM, SWG, and IPS), and application protection (CASB).

"We're very excited about what we're seeing in Cato's Network Stories. It'll save us the time normally spent hunting around other tools and that's a big deal," says Brandon Benchley, senior network engineer at ESI. The company's three-person network team is responsible for all site designs, deployments, switches, and upgrades. "We handle all the network operations, engineering, and planning for locations and Azure. It's a lot. Cato Network Stories should solve a key pain point for us."

Cato Network Stories: Slashing Downtime for Enterprises Everywhere

Network outages continue to disrupt enterprise operations. Network and connectivity-related issues accounted for nearly a third of IT outages and 53% of major outages caused by third-party IT providers. Even with Cato and its managed private backbone, network outages and slowdowns can occur in the last-mile or customer networks.

Diagnosing network incidents requires NOC teams to sift through and correlate a flood of network alerts. Too often, outages begin as unreported line degradations or occur after hours, extending their impact on the organization.

With Network Stories for Cato XDR, AI algorithms trained for threat detection now collect and analyze network signals and incidents to identify the root cause behind blackouts, downed links, BGP session disconnects, SLA issues, and other network incidents. Cato AI triages those incidents by criticality, empowering network operations teams to focus critical resources on an organization's most important cases.

Once NOC teams act, Cato provides them with a complete set of incident response tools. Generative AI summarizes Network Stories into human-readable explanations. Cato Playbooks enable NOC teams to understand what happened and how to remediate those incidents. 

When Cato Support adopted Networks Stories last-mile packet loss identification became nearly instantaneous, instead of customers taking several days to report an outage. The average root cause analysis time dropped by 30% to under 35 minutes.