Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Monitoring AI Agent Behavior in Production

Monitoring AI agents in production is a fundamentally different problem from monitoring traditional software or even generative AI models. Because agents run autonomously, chain multi-step reasoning across tools and systems, and change behavior as their underlying models evolve, standard software metrics like uptime and CPU utilization miss almost everything that matters. ‍

Assessing Third-Party AI Vendor Risk Before It Becomes a Problem

Every SaaS tool your organization onboards now carries a hidden layer of AI risk. The chatbot on your CRM, the transcription service your sales team runs, the code assistant embedded in your IDE. Each one processes company data through models you did not build, in ways your vendor questionnaire was not written to catch. Traditional third-party risk management was designed to evaluate infrastructure, access controls, and data handling.

Software for Non-Profits Canada: Top 5 Platforms to Scale Your Mission

Operating a registered charity or non-profit organization in Canada involves navigating complex daily workflows, maintaining accurate record-keeping, and adhering to Canada Revenue Agency regulatory compliance. Beyond meeting administrative standard procedures, teams must coordinate volunteer management, manage communications, and maintain complete operational oversight to build long-term donor accountability. Choosing the right digital platform plays a central role in driving staff efficiency, optimizing response times, and maximizing overall customer satisfaction.

The AI Inventory Problem Nobody Solved

By now, most organizations have invested in AI governance. Far fewer have solved the problem that makes governance possible in the first place: knowing what AI they are actually running — and with 57% of employees using AI tools at work without telling their manager, the gap is wider than most inventories admit. In this video, Kovrr breaks down what an AI asset inventory actually is, why traditional asset management never catches shadow AI, and what it takes to keep the record accurate.

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.

MCP Security Risks: Trusting Tool Descriptions Without Standards

Are we trusting AI tools too much? Right now, agents trust tool descriptions without verification. This could lead to serious security risks! What happens when a major server gets compromised? It's time to rethink our standards for AI tool security. What do you think about AI trust issues?

Ep. 72 - The File That Lies: One CLAUDE.md Walks Off With Your Agent's Credentials

A poisoned CLAUDE.md file inside a cloned repository quietly tells a coding agent to send its test logs to an outside endpoint, and the agent complies, shipping environment details, internal system information, and API keys to a server the developer never controlled. The model was not broken. It was obedient. In this episode of The Cyber Resilience Brief (a SafeBreach podcast), host Tova Dvorin and SafeBreach senior sales engineer Adrian Culley break down why building agentic AI controls is not the same as proving they hold under attack.

How to Connect Claude to Jira Securely Without Giving AI Unrestricted Access

Teams are connecting Claude to Jira to summarize issues, draft tickets, and answer sprint questions in seconds. The productivity gains are real, but so is the security risk. The problem is simple: a direct connection gives Claude the same permissions as the person who set it up. If that user can view confidential projects or delete issues, so can Claude. There's no business logic in between deciding what AI should and shouldn't touch. Most organizations don't want to ban AI.

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.