Using LLMs for Enterprise Threat Modeling
Creating an application threat model was a resource-intensive process that took weeks or months, resulting in static documents that were abandoned 80% of the time after their initial creation. However...
27 Loka 35min
How Block Solved DNS Vulnerabilities
When companies rapidly migrate to the cloud without strict registrar policies, users often spin up unsanctioned subdomains pointed at third-party services like Vercel or Hugging Face. When those servi...
13 Loka 55min
Why AI Security is Actually a Data Security Problem
When an AI coding agent hallucinates a software package name, attackers can simply create malicious packages with that exact name, tricking the AI into downloading malware directly into your environme...
8 Loka 40min
Securing Millions of AI-built Apps: How Lovable Defends Against Insider Threats
Empowering non-technical users to build production-grade applications requires a proactive, secure-by-design architecture. In this episode, Ashish sits down with Marcus Hallberg and Samuel Kelemen, se...
11 Syys 1h 10min
Why AI Won't Replace Your SOC: Federated Data & APEX Framework
Hash values, IP addresses, and domains are virtually useless as primary detection mechanisms in the era of AI-driven polymorphic malware and short-lived phishing kits. If your detection strategy is st...
1 Syys 37min
The "Hunt First" AI Security Strategy
Did you know that 82% of all intrusions don't involve any sort of malware, and AI-augmented attacks are up 89% year over year? If your security operations team is solely focused on reacting to known-b...
25 Elo 46min
Shadow AI & Sandbox Escapes: Why You Need an Agentic Control Plane?
When Claude Cowork hits a roadblock, it doesn't give up, it writes a custom Python script and downloads an untrusted NPM package just to bypass its restrictions and finish its goal. Are your security ...
18 Elo 32min
