Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

‍Artificial intelligence (AI) has departed from the realm of science fiction and emerged as a very real, regular part of life, increasing efficiency across a number of everyday activities. Particularly in the marketplace, where process optimization directly equates to time and money, general-purpose AI (GenAI) and other AI systems have rapidly taken on a central role.

On Monday, September 8th, a highly regarded open source developer, ~qix, was compromised via a phishing email. ~qix is an author and maintainer behind a large number of popular npm packages and found himself caught by this attack after responding to a message from the email address of support help. This resulted in the attacker taking over his npm account and having access to publish malicious versions of packages to which Qix had privileged access.

As enterprises embrace AI, identity has become the defining security challenge. Every new database, Kubernetes cluster, SaaS app, and now every AI agent introduces yet another identity that must be governed and protected. At the same time, attackers are weaponizing AI to accelerate identity-based threats, exploiting fragmentation and credential sprawl to devastating effect.

AI agents are autonomous, powerful, and deeply embedded in how modern businesses operate. From rerouting customer support emails to accessing critical business tools like email and CRM systems, agents are transforming workflows across departments. As of Microsoft’s Q1 2025 earnings report, over 230,000 organizations, including 90% of the Fortune 500, are using Microsoft Copilot Studio to build custom agents for a huge variety of tasks.

It’s been a rough few weeks for burger chains. First, McDonald’s McHire chatbot was caught serving up candidate data through insecure APIs. Then Restaurant Brands International (RBI), home of Burger King, Tim Hortons, and Popeyes, had its APIs flame-broiled by attackers who discovered they could generate tokens without authentication, escalate privileges, and even eavesdrop on live drive-thru audio. When APIs become the secret sauce, leaving them unprotected is a recipe for disaster.

AI is transforming how security operations centers (SOCs) work, but the hype can outpace the reality. You don’t need to build custom models or deploy cutting-edge platforms to benefit. Chances are, you already have AI-powered capabilities in your SIEM, SOAR, or security data platforms. The question is: Are they doing anything useful? This practical playbook lays out six key priorities to increase productivity and effectiveness while maintaining control.

Sr. Technical Content Strategist Everyone advertises AI, how does LimaCharlie use it? If you are not exhausted by the relentless AI hype cycle by now, your resilience is commendable. Our industry is awash in AI marketing that is an inch deep and a mile wide*. Everyone claims to have AI, almost no one will explain how it works. At LimaCharlie transparency is a core value. You see it in our high-visibility security platform and publicly available pricing structure.