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AI Security

Explore how AI is reshaping the landscape of API security. From intelligent threat detection to automated policy enforcement, stay ahead with insights, strategies, and innovations at the intersection of artificial intelligence and secure API management.

Latest

AI Guardrails: Ensure Safe, Responsible, Cost-Effective AI Integration

AI GatewayAugust 25, 2025

It's natural to consider the necessity of guardrails for your sophisticated AI implementations. The truth is, much like any powerful technology, AI requires a set of protective measures to ensure its reliability and integrity. These guardrails aren't just a good idea; they are fundamental for…

Jason Matis

Securing Enterprise AI: OWASP Top 10 LLM Vulnerabilities Guide

AIJuly 31, 2025

The OWASP Top 10 for LLM Applications 2025 represents a significant evolution in AI security guidance, reflecting the rapid maturation of enterprise AI deployments over the past year. The key updates include expanded focus on agentic AI systems with "excessive autonomy" risks, new attention to…

Michael Field

LLM Security: Shield Your AI from Injection Attacks, Data Leaks, and Model Theft

Shield Your AI from Injection Attacks, Data Leaks, and Model Theft
AI SecurityMay 19, 2025

The adoption of LLMs is accelerating faster than most technological trends we’ve witnessed before. According to recent Gartner projections, by 2026, over 80% of enterprises will have used or experimented with LLMs , a dramatic increase from less than 5% in 2022. Their integration spans across…

Kong

PII Sanitization Needed for LLMs and Agentic AI is Now Easier to Build

AIApril 2, 2025

LLMs operate as highly capable, non-deterministic pattern matchers. But they come with two significant privacy challenges: If you pass raw user input, internal logs, or structured data directly into an LLM without safeguards, you’re risking the exposure of names, emails, credit cards, health info,…

Alex Drag

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AI Observability: Monitoring and Troubleshooting Your LLM Infrastructure

AI Observability
ObservabilityMarch 17, 2025

Let's take a step back and start from the top: Defining AI Observability. This is the practice and intentional framework of gaining deep, real-time insights into the behavior and performance of AI systems. It goes beyond the basics of tracking CPU usage or memory consumption. Instead, it focuses on…

Kong

IT Leaders Share Cost of API Incidents, Concerns Over AI Threats

AIDecember 10, 2024

More than 80% of developers and business leaders say AI investments have already created the opportunity for new products or services, according to Kong’s 2024 API Impact Report . Clearly, AI has proven its value and place in the enterprise, but with new innovations come new potential…

Eric Pulsifer

How to Harness AI Data Governance for Data Integrity

GovernanceSeptember 20, 2024

It’s no secret that artificial intelligence (AI) is revolutionizing the way companies operate with its ability to sift through mountains of data and make accurate predictions at record speed. But with great power comes great responsibility. As AI systems are more regularly incorporated into…

Kong

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