Treblle Blog
What matters in the enterprise API world.
OWASP LLM Top 10: What It Means for API Security
The OWASP LLM Top 10 introduces a new set of security risks that emerge when large language models are exposed through APIs. This guide explains each category from an API security perspective, showing how threats like prompt injection, sensitive data disclosure, and supply chain vulnerabilities manifest at the API layer—and how teams can detect, monitor, and mitigate them.
API Catalog: What It Is, Why You Need One, and How to Build It
Learn what an API catalog is, why it matters for API discovery and governance, and how to build and maintain one that stays accurate as your API portfolio evolves.
API Discovery: How to Find Every API in Your Infrastructure
API discovery helps organizations identify every API running across their infrastructure, including shadow APIs, zombie APIs, and undocumented endpoints. Learn how code scanning, gateway integrations, and live traffic analysis work together to create a complete, continuously updated API inventory.
API Security Checklist for Engineering Teams
This API security checklist for engineering teams covers the essential controls needed to secure production APIs, including authentication, authorization, input validation, rate limiting, transport security, monitoring, documentation, and governance. Use it as a practical framework to identify security gaps, reduce risk, and improve API security posture across your engineering organization.
Shadow APIs: How to Find What You Don't Know You Have
Shadow APIs are undocumented endpoints that exist in production without proper monitoring, ownership, or security controls. Learn how shadow APIs differ from zombie APIs, why they create significant security risks, and the most effective methods to discover, inventory, secure, or decommission them before attackers do.
AI Governance for APIs: What Engineering Teams Need to Know
AI governance for APIs goes beyond policy frameworks and focuses on the technical practices engineering teams need to implement. Learn how to document AI-powered endpoints, track model versions, meet compliance requirements, and measure AI readiness through governance scoring, observability, and automated enforcement.
