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.

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.

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.

As Anna say in the podcast, “Security reviews show up just when you think the deal is about to close. It’s like a final boss that no one wants to fight.” The last-mile friction caused by security diligence isn’t new, but it’s becoming more painful as deal cycles tighten and expectations around transparency rise. Buyers want answers faster. Vendors want to close faster. And security teams, stuck in the middle, are often left juggling risk, reputation, and revenue timelines.