Category

API Security

Category
Wallarm — API Security
In AI Security

AI Control Platform vs. AI Firewall vs. AI Gateway: Clearing Up The Terminology

5 Mins Read

Editor’s note: This article was originally published by Tim Erlin on LinkedIn. It has been republished here with the author’s permission. https://www.linkedin.com/pulse/ai-control-platform-vs-firewall-gateway-clearing-up-tim-erlin-ypodc It seems like every security vendor now sells “AI security.” The WAF companies, the API gateway companies, the cloud platforms, the proxy startups: all of them have an AI story, and most of them have attached one of three labels to it. AI gateway. AI firewall. AI control platform. The terms often get…

Read More
The Wallarm AI Control Loop
In AI Security

Introducing the Wallarm AI Control Platform: One closed loop for AI security and API security.

5 Mins Read

TL;DR- AI deployment has outpaced AI governance. Most enterprises running AI on AWS cannot answer four basic security questions about what’s running, what it’s doing,how to stop it, and how to prove it’s under control.- The Wallarm AI Control Platform closes this gap: one platform for Discover, Observe,Enforce, and Govern — running natively in your AWS environment.- Infrastructure Discovery maps your AWS estate in minutes. AI Hypervisor instruments EKS in minutes with zero code changes,…

Read More
In API Security

What Your Board Gets Wrong About AI Security

4 Mins Read

Editor’s note: This article was originally published by Craig Riddell on LinkedIn. It has been republished here with the author’s permission. Boards are giving AI security more airtime than ever. What they’re not giving is the right framing. A year or two ago, AI was mostly a question of experimentation risk. Today, it’s tied directly to revenue, customer experience, operational efficiency, and competitive advantage. The urgency is real, and it’s translating into aggressive deployment timelines.…

Read More
In API Security

Extending Security to MCP Servers: Closing a Critical Gap

4 Mins Read

The Model Context Protocol (MCP) is a de facto standard for providing structured access to privileged systems for AI agents and external integrations. It acts as a USB-C port for AI, enabling faster innovation by allowing organizations to expose tools, resources, and workflows without the time-consuming work of building APIs.  Adoption has surged in recent months, and categories like payments, project management, and developer platforms are already beginning to reap the benefits. As a result,…

Read More
In API Security

Introducing Wallarm Middle East Cloud: Built for Data Residency Compliance

2 Mins Read

As API and AI adoption grows across the Middle East, so do the expectations around how data is handled. For many organizations operating in this region, it’s not just about securing applications. It’s about doing it in a way that keeps data in-country and aligned with local requirements. Today, we’re introducing the Wallarm Middle East Cloud Point of Presence (POP), giving organizations a new way to secure APIs and AI systems while keeping their data…

Read More
In API Security

6 Lessons Security Leaders Must Learn About AI and APIs

4 Mins Read

Most organizations treating AI security as a model problem are defending the wrong layer. Security teams filter prompts, patch jailbreaks, and tune model behavior, which is all necessary work, while the actual attack surface sits largely unexamined underneath. That surface is the API layer: the endpoints AI systems use to retrieve data, call tools, and take action on behalf of users. This isn’t a theoretical gap. According to Wallarm’s 2026 ThreatStats Report, 36% of AI…

Read More