AI
AI

Cato Networks Enhances CASB with Generative AI Security Solutions

Photo credit: www.networkworld.com

Navigating the Landscape of GenAI Security in Enterprises

Cloud Access Security Brokers (CASBs) play a crucial role in bridging the gap between end users and cloud services, ensuring that security policies are enforced, data is protected, and compliance is maintained. These tools enable enterprise security and network teams to gain insights into how users access and utilize various cloud resources, including data, applications, and services. By providing visibility into cloud usage, controlling application access, and offering threat protection, CASBs are a vital component of modern security architectures, often integrated within Secure Access Service Edge (SASE) platforms.

The Rise of GenAI and Shadow AI Concerns

As generative AI (genAI) tools gain traction among users, organizations face new challenges in monitoring these technologies to safeguard their environments. Cato Networks highlights the emergence of what is termed “shadow AI,” akin to the shadow IT phenomenon where employees use unsanctioned technologies without oversight from their IT or security teams. According to a report by Gartner, it is anticipated that by 2027, over 40% of breaches related to AI will stem from the inappropriate utilization of genAI across national borders. This underscores the pressing need for enterprises to implement stringent security measures surrounding genAI.

Enhanced CASB Features for GenAI Security

Cato Networks has introduced advanced security controls within their CASB platform specifically designed to address the challenges posed by genAI. These enhancements empower IT and security teams to:

  • Identify Shadow AI: By detecting sanctioned versus unsanctioned genAI usage, organizations can pinpoint all applications in use, with Cato tracking over 950 genAI applications.
  • Control Access: Teams can establish specific actions permitted with genAI applications, enforcing policies at a granular level to minimize risk.
  • Protect Sensitive Data: Mechanisms are in place to prevent the uploading of sensitive information to large language models, thereby securing vital data.
  • Ensure Compliance: Continuous monitoring of end-user activities related to genAI ensures alignment with both corporate policies and regulatory obligations.

Future Outlook for GenAI Management

“Enterprises need smart ways to govern genAI,” stated Ofir Agasi, vice president of product management at Cato Networks, in a recent announcement. “With our enhancements to Cato CASB, we are harnessing AI within the Cato SASE Cloud Platform to discover, classify, and secure how genAI applications are used across the enterprise. We’re giving security and IT teams the tools to manage risk and enable innovation responsibly.”

As businesses increasingly adopt genAI technologies, proactive measures will be essential in managing the associated risks while fostering innovation. Through the integration of sophisticated security frameworks like those offered by Cato Networks, enterprises can navigate the complexities of modern digital landscapes with confidence.

Source
www.networkworld.com

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