Securing enterprise AI with gateways and guardrails
Blog post from Portkey
Enterprises are rapidly adopting generative AI technologies, but this expansion into production environments also brings increased security risks, particularly due to the non-deterministic nature of AI systems. In a webinar by Portkey and Palo Alto Networks, experts discussed the importance of governance, compliance, and runtime security to mitigate these risks, emphasizing the need for AI gateways and guardrails to secure AI stacks at scale. Key threats include prompt injection attacks, insecure outputs, and data leakage, which require robust runtime governance and layered security controls. Palo Alto Networks' Prisma AIRS platform offers a comprehensive security approach anchored in runtime enforcement and agent security, while Portkey's AI gateway centralizes governance, allowing for consistent application of security policies across all AI applications. This integration reduces complexity and latency by streamlining the enforcement of guardrails, ensuring that threats are blocked before they reach users or models. The combination of centralized gateways and guardrails provides enterprises with a scalable and efficient security framework that can adapt to evolving AI threats, enabling safe AI adoption and usage.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.