Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most MSP client reviews cover what got installed. The endpoint agent was deployed, the firewall rules were tuned, and the tickets were closed inside the SLA. Meanwhile, boards, insurers, and auditors are asking for something more: a clear account of the business's current security and compliance risks. The partner who can provide that answer earns client trust and increases credibility.

This week on the podcast, we break down how a heap overflow in an image-decoding library nobody thinks about became a pull request inside OpenAI's internal monorepo. Three researchers chained it with an OpenAI single sign-on flaw to hijack employee ChatGPT and Codex accounts in under 72 hours; and had an AI write the exploit for them. Before that, we cover the actively exploited maximum-severity authentication bypass in Cisco's Identity Services Engine. Then we close with RatHat, a new Android malware that enables Wireless Debugging, reads its own pairing code from the screen, and asks a commercial AI assistant where to tap.

Artificial intelligence is no longer a future consideration for MSPs because it is already reshaping how leading providers run their businesses, protect their clients, and create new revenue streams. Separating real business value from hype requires a clear-eyed, practitioner-driven perspective.

Every MSSP is under pressure to adopt AI, and most of the advice available is either vendor hype or generic guidance written for enterprise teams with one environment to manage. MSSPs face a harder problem: any AI they adopt has to work across dozens or hundreds of client stacks, respect tenant boundaries, and produce results an analyst can defend to a customer. In this session, Sr. Solutions Engineer Ken Westin lays out a practical roadmap for bringing AI into service provider security operations.

Today we're speaking with Dr. Amarjot Singh, Founder & CEO of Skylark Labs, about physical AI — what changes when a model leaves the server and has to perceive, decide and act inside a machine that moves through the real world.