Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In the recently published blog from Memcyco titled "What Is Agentic Threat Intelligence?", we discussed agentic threat intelligence as an emerging CTI model. Bounded agents support repetitive investigation work, such as collection, enrichment, prioritization, and evidence packaging, while analysts retain control over takedown and escalation decisions. Vendor briefings are full of “agentic AI” right now. Most of them describe the same thing: faster dashboards and smarter alerts. That is not agentic threat intelligence.

AI regulation is failing faster than AI itself, leaving accountability, security and control dangerously behind the pace of adoption. This episode explores AI governance, encryption, singularity, super AI and why the future may belong to whoever controls the most powerful models first.

AI Chat with Maxime Lamothe-Brassard and Chris Luft. A new segment on the podcast: AI news in cybersecurity that is less than 24 hours old, discussed while it is still hot. Joining Chris for these conversations is LimaCharlie founder and CEO Maxime Lamothe-Brassard. In this episode: Stories covered: Chapters: The Cybersecurity Defenders Podcast — a podcast about cybersecurity and the people that keep the internet safe. New episodes drop weekly.

Ransomware is evolving well beyond locking systems, and agentic AI is introducing a category of security risk most organizations are not yet equipped to handle. On The Cybersecurity Defenders Podcast, Behnaz Karimi, Senior Cybersecurity Analyst at Accenture and independent ransomware researcher, walks through what that shift actually looks like. The full conversation includes.

AI workloads are appearing across AWS environments faster than most teams can inventory them. New APIs, EKS clusters, model integrations, and AI services are showing up across accounts and regions without a clear ownership trail or centralized visibility. By the time security catches up, the environment has already changed again.