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SUMMARY:Securing AI Applications Begins with API visibility
DESCRIPTION:AI security begins with API security. The surge in AI agents\, shadow APIs\, and unmonitored Model Context Protocol (MCP) servers has created dangerous blind spots. According to Akamai’s 2026 API Security Impact Study\, 87% of enterprises faced an API incident last year—with 42% tied directly to AI technologies. Fragmented tools and unmanaged endpoints leave AppSec teams exposed to prompt injections\, context poisoning\, and API logic exploits.  \nJoin us for a technical deep dive into building a better runtime defense across the modern application stack. \nContinuous Discovery: Automatically map LLM-linked endpoints\, shadow APIs\, and unmanaged MCP servers back to code repositories.Layered Runtime Protection: Enforce AI-aware gateways\, content firewalls\, and data redaction to stop prompt injections.Automated Defense: Deploy behavioral ML to neutralize bot probes and Layer 7 DDoS while ensuring 100% service availability. \nPonentes: Sheldon Fernandas\, Principal Enterprise Security Architect | Akamai \nVer y registrarse en BrightTALK
URL:https://tecnowebinars.com/evento/securing-ai-applications-begins-with-api-visibility/
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