Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Code Mode: Giving AI Agents an Entire API in 1,000 Tokens (With Demos)

In this episode of This Week in NET, host João Tomé is joined by Matt Curry to break down Code Mode: a way to give AI agents access to the entire Cloudflare API (2,500+ endpoints) using two tools and roughly ~1,000 tokens of context. Instead of exposing thousands of individual tools (which quickly becomes expensive and brittle), Code Mode lets the model write JavaScript to search and execute against a compact API context. The result is massive compression, lower cost, and better performance.

Agentic AI Security: From Threat Intelligence to Live Detections in Minutes

LimaCharlie's SecOps Cloud Platform is built around a simple idea: everything connects via API. That includes AI. Rather than locking you into a proprietary and limited AI SOC, LimaCharlie lets you bring your own LLM and put it to work directly inside your security environment. With LimaCharlie, AI can execute operations across your detections, sensors, and integrations. Because LimaCharlie operates entirely via API, every AI action is transparent and auditable.

Claude Code Security: Why Cyber Investors are Panicking

Artificial intelligence, cybersecurity, Claude Code Security, AI security tools and cybersecurity stocks are dominating headlines, but is AI really replacing security professionals? In this Razorwire Raw episode, Jim breaks down the market panic following Anthropic’s Claude Code Security launch, why cybersecurity investors reacted so strongly and what AI can actually do today versus industry hype.

I Don't Treat AI Video as a Toy Anymore - Not After Testing It Through a Security Lens

I used to look at consumer AI media tools as a novelty. Fun, impressive, occasionally useful - but still something I'd keep in a separate mental bucket from the things I take seriously. That changed when I started testing them the way I test anything else that touches trust, identity, and digital hygiene.

AI Risk Management: Process, Frameworks, and 5 Mitigation Methods

AI risk management is the process of identifying, assessing, and mitigating risks associated with artificial intelligence systems to ensure they are developed and used responsibly. It involves using frameworks like the NIST AI Risk Management Framework to address technical, ethical, and social challenges, including data bias, privacy violations, and security vulnerabilities.