Post by SPLX, a Zscaler Company
6,812 followers
๐ฅ ๐ก๐ฒ๐ ๐๐ฒ๐ฎ๐๐๐ฟ๐ฒ ๐๐น๐ฒ๐ฟ๐: ๐ฃ๐ผ๐น๐ถ๐ฐ๐ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ผ๐ฟ ๐ถ๐ ๐ต๐ฒ๐ฟ๐ฒ! ๐ฅ Weโre excited to unveil the latest capability in our platform that automatically turns AI red teaming findings into ready-to-deploy guardrail policies. With this market-first innovation, AI security teams can now move seamlessly from ๐ฎ๐ฑ๐๐ฒ๐ฟ๐๐ฎ๐ฟ๐ถ๐ฎ๐น ๐๐ฒ๐๐๐ถ๐ป๐ด โ ๐ฟ๐ฒ๐บ๐ฒ๐ฑ๐ถ๐ฎ๐๐ถ๐ผ๐ป โ ๐ฒ๐ป๐ณ๐ผ๐ฟ๐ฐ๐ฒ๐บ๐ฒ๐ป๐. The result: faster risk reduction and enterprise-grade protection for all your AI systems. โ Directly embed red teaming findings + probe configurations into every generated policy โ and receive precise, context-aware guardrails from the start. โ Automatically produce tailored, production-ready policies based on how your AI system actually behaved under adversarial testing. โ Provider-agnostic by design โ export and directly apply policies across environments like Zscaler AI Guard, AWS Bedrock Guardrails, Azure AI Guardrails, and more. ๐ก ๐ช๐ต๐ ๐๐ต๐ถ๐ ๐บ๐ฎ๐๐๐ฒ๐ฟ๐: AI security isnโt just about identifying risks โ itโs about acting on them quickly. Policy Generator removes the manual friction between security testing and enforcement, enabling your team to respond faster, enforce smarter, and scale protection across the entire AI lifecycle. Learn more and schedule a demo to experience your next guardrail policy being generated in minutes: https://lnkd.in/dgMqpVMV Kristian Kamber Ante Gojsalic Dhawal Sharma Subbu S. Jurica Nekiฤ Luka ล imac Dorian Granoลกa Luka Kamber