Cisco Launches AI Defense: Revolutionizing AI Application Security with Rapid Model Validation and Threat Protection

January 22, 2025
Cisco Launches AI Defense: Revolutionizing AI Application Security with Rapid Model Validation and Threat Protection
  • AI Defense, part of Cisco's Secure Access platform, offers a unified security approach that includes various services such as zero trust network access and VPN-as-a-Service, and will be generally available to enterprises starting in March 2025.

  • As enterprises are expected to create hundreds to thousands of AI applications, Cisco recognizes the impracticality of implementing separate security measures for each application.

  • This innovative cloud security technology, introduced on January 15, 2025, aims to help developers identify and mitigate vulnerabilities in AI applications.

  • AI Defense employs detection models from Scale AI and integrates threat intelligence from Cisco's Talos and Splunk to automatically recommend safety measures for AI models.

  • Jeetu Patel, Cisco's Executive Vice President, stressed the necessity of balancing safety with speed in AI development to maintain competitiveness in the market.

  • The technology utilizes the Robust Intelligence platform, which Cisco acquired, to perform algorithmic red teaming that identifies vulnerabilities in AI models.

  • Cisco has unveiled a new security solution named Cisco AI Defense, designed to assist businesses in securely building, deploying, and managing AI applications.

  • AI Defense features self-optimizing capabilities that evolve over time and seamlessly integrate with existing data flows, thereby enhancing overall security measures.

  • The solution enables continuous validation of AI models, ensuring that applications perform as intended despite ongoing changes in data.

  • This initiative responds to security concerns highlighted in Cisco's 2024 AI Readiness Survey, where 71% of organizations expressed feeling unprepared to prevent unauthorized AI tampering.

  • Cisco claims that it can validate AI models in approximately 30 seconds, a remarkable improvement compared to the typical seven to ten weeks required by most organizations.

  • The increasing frequency of attacks on vulnerable AI models, including incidents of LLMjacking and cloud credential theft, highlights the critical need for robust AI security.

Summary based on 2 sources


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