Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Guide to Agentic AI Governance

Agentic AI governance is about keeping powerful, autonomous AI systems aligned, safe, and accountable as they act on our behalf. It’s now a certainty that AI agents will be deployed enterprise-wide. So, we need to look more deeply into those agents, figure out where they are, how to find them, and fully understand what they are doing in deployment so we can prevent attacks. The most dangerous agentic attacks will not look like attacks at the layer where they originate.

Best API Frameworks in 2026: How to Choose the Right One (and What Most Teams Miss)

Framework choice isn’t really about syntax or GitHub stars. It’s a multi-year commitment that shapes architecture, team habits, hiring, and how painful your next migration will be. Frameworks decide your architecture by default, whether you choose it or not. Some frameworks default to synchronous request handling; others assume non-blocking IO from day one. Some nudge you toward a monolith; others push you toward services that split naturally.

Webinar Recording: AI Governance & Policy Enforcement for the Abilities API

In this Webinar, Learn to secure your WordPress AI agents against common risks. Understand how to implement audit trails and smarter permissions for your site. Integrating AI agents with WordPress offers powerful marketing capabilities, but it introduces significant security vulnerabilities. This webinar explains how to manage these risks by addressing scoping, identity verification, and access control. If you are a developer or site owner building autonomous workflows, this breakdown highlights exactly where your current setup might be exposed.

Salt Debuts First AWS WAF Managed Ruleset for AI Agent and API Protection

Your WAF is doing its job. It's blocking SQLi, XSS, and the usual suspects. But here's the problem: it wasn't built for APIs, and it definitely wasn't built for AI agents. APIs now power nearly every digital experience. And AI agents — the automated systems that access your APIs at machine speed, at machine scale — are the fastest-growing source of that traffic.

Top Security Risks of AI Agents

AI agents are rapidly moving from experimental projects into everyday business operations. Unlike traditional AI systems that generate content or answer questions, AI agents can take action. They can call APIs, access applications, retrieve data, execute workflows, and make decisions with limited human intervention. That shift is creating a new security challenge for enterprises.

MCP Prompt Injection: How Attackers Hijack AI Agent Workflows Through MCP Tool Calls

Prompt injection in a standard LLM interaction produces bad output. The model says something it shouldn’t. The damage stays contained to text. Prompt injection in an MCP environment is a different problem. Agents built on the Model Context Protocol don’t just generate responses. They call tools. They write files, query databases, send emails, execute code, invoke APIs.

Demo Observe What Your AI Is Actually Doing

Security teams are receiving more alerts tied to AI workloads, but most miss the runtime context needed to understand what happened, why it happened, and whether it violated policy. AI visibility cannot stop at deployment and configuration. Join this live demo session to see how Wallarm AI Hypervisor helps teams understand what AI workloads are actually doing at runtime inside Kubernetes environments. The session focuses on giving security teams clearer operational context around AI behavior, outbound activity, sensitive data exposure, and user-driven actions across AI systems.

The EU AI Act: Compliance for Companies Serving the EU Market

The EU AI Act is a global business issue. Just like GDPR before it, it reaches beyond EU borders. If your organization does business in the EU, you are in scope. Full enforcement begins August 2, 2026, with fines of up to 35 million euros or 7% of global turnover for non-compliance.

Best API Discovery Tools for Lineage Mapping

API discovery has become a foundational capability for modern enterprises as API ecosystems expand across cloud-native applications, microservices, SaaS integrations, partner APIs, and AI-powered workflows. By 2027, 78% of applications are expected to use APIs, and with that growth comes an urgent need for visibility that goes far beyond simply listing endpoints.