Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If you look at an enterprise architecture diagram from five years ago, it looks relatively tidy. You had a data center, maybe a cloud provider, and a few gateways. Today, that diagram looks like a constellation. Data is living in AI platforms like Databricks. Frontend applications are pushed to the edge on Netlify. Logic is scattered across microservices, serverless functions, and legacy IIS servers. For security teams, this fragmentation creates a massive headache: Blind Spots.

In today's security landscape, it's easy to get lost in a sea of acronyms. But one layer has become the undisputed foundation for modern application security: API security. Why? Because APIs are no longer just part of the application, they are the application. They are the connective tissue for microservices, third-party data, and the explosive new 'Agentic AI Action Layer' powered by protocols like MCP (Model Context Protocol). Securing the application is securing the APIs.

Over the last year, Model Context Protocol (MCP) servers have transitioned from "cool developer experiments" into critical production infrastructure. Developers love them because they allow AI agents to open tickets, query databases, and update records with almost zero integration backlog. But there is a fundamental truth we must acknowledge before moving forward: The AI revolution is actually an API revolution.

In the race to deploy autonomous AI agents, organizations are inadvertently building on a foundation of shifting sand. While security teams have spent the last year focused on "Prompt Injection" and "Model Poisoning," a much older, more dangerous adversary has quietly become the primary attack vector for the agentic era: Broken Object Level Authorization (BOLA).

For the last twenty years, cybersecurity has been built around the edge: the belief that threats come from the outside, and that firewalls, WAFs, and API gateways can inspect and control what enters the environment. That model worked when applications were centralized, traffic was predictable, and most interactions followed a clear pattern: a user in a browser talking to an app inside a data center. Agentic AI breaks that model.

If you look at the headlines, the story is about Artificial Intelligence. But if you look at the architecture, the story is about APIs. The reality of modern tech is simple: You can’t have AI security without API security. As we move rapidly from simple chatbots to autonomous agents, the way we secure our infrastructure must evolve. That is why we are thrilled to announce the release of the 4th Edition of AI & API Security For Dummies, Salt Security Special Edition.

As holiday lights go up and inboxes fill with year-in-review emails, it’s tempting to look back on 2025 as “the year of AI.” But for security teams, it was something more specific – the year APIs, AI agents, and MCP servers collided across the API fabric, expanding the attack surface faster than most organizations could keep up. At Salt Security, we spent 2025 focused on one thing: defending the API action layer where AI, applications, and data intersect.

As organizations accelerate the adoption of Artificial Intelligence, from deploying Large Language Models (LLMs) to integrating autonomous agents and Model Context Protocol (MCP) servers, risk management has transitioned from a theoretical exercise to a critical business imperative. The NIST AI Risk Management Framework (AI RMF 1.0) has emerged as the standard for managing these risks, offering a structured approach to designing, developing, and deploying trustworthy AI systems.

The cybersecurity world is currently buzzing about React2Shell (CVE-2025-55182), a critical remote code execution (RCE) vulnerability affecting React and Next.js. The scale of the threat is massive: researchers have already identified over 77,000 vulnerable IP addresses exposed to the internet, and confirmed that state-sponsored actors and opportunistic crypto miners have already breached at least 30 organizations. But if you look closely, this isn't really a story about React.