Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In our previous post, we highlighted a key insight from the 2025 KuppingerCole Leadership Compass: securing AI depends on securing APIs first. The report emphasizes that as AI use grows, the attack surface for APIs becomes more complex and risky. With many solutions available, navigating vendor claims can be challenging, making independent expert analysis extremely valuable.

Manual ticketing slows response time and invites errors. Forward Networks simplifies this by detecting drift, anomalies, or changes—and automatically creating ServiceNow incidents based on verified data. Incidents are enriched with hostname, config diff, device roles, and severity, saving time and ensuring accuracy. Implementing change management for network modifications has multiple benefits.

Imagine you just got a new car with a feature that automatically adjusts the air conditioning based on live weather forecasts. To activate it, you need to connect the car to an external weather service. You could take it to the garage, pay someone to configure it, and wait for the job to be done. Or, you could use a built-in assistant that asks you two simple questions and shows you how to set everything up in minutes. That’s the idea behind Cato’s new API Assistant.

Over the last year, I’ve spent countless hours with CISOs, CTOs, and security architects talking about a new wave of technology that’s changing the game faster than anything we’ve seen before: Agentic AI and Model Context Protocol (MCP) servers. If you think AI is still in the “cool demos and pilot projects” stage, think again. We’re already seeing autonomous agents reasoning, remembering, and taking actions in live production environments.

Unrestricted Resource Consumption (API4:2023) is the only threat category in the OWASP API Security Top 10 explicitly dedicated to Denial of Service (DoS) and resource abuse. But despite being just one category, attackers can exploit it in many different ways; from large file uploads and expensive GraphQL queries to abuse of metered third-party services like SMS gateways or AI/LLM APIs.