Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Vulnerability data isn’t the starting point. Context is. Ed Amoroso and Garrett Hamilton unpack why CVEs on their own don’t explain risk. What matters first: ⇢ What assets actually exist⇢ How controls are deployed and configured⇢ What the live posture looks like, not last month’s report With that context in place, vulnerabilities stop being noise and start becoming decisions. Garrett also makes a critical point near the end: many security tools are excellent at producing findings, but far less effective at helping teams resolve them.

Block sensitive data leaks (like PII and source code) and apply intent-based guardrails to detect and mitigate risky prompts before they reach the model.

See how Cloudflare’s API-based CASB integrates with tools like ChatGPT, Claude, and Gemini to detect and mitigate risks of misconfigurations and data exposure.

Can a lesser-known model compete with the likes of OpenAI, Google, and Anthropic? In this video, we put Z.ai’s GLM 4.7 to the ultimate test. We task it with building a production-ready, secure Node.js note-taking application from a single prompt to see if its code quality and security stand up to the big name foundational models.

MiniMax M2.1 Setup Guide.

If you're more flexible, you're more modern with your technology, the experiment... will be faster." - Lior Gross, CTO at Caliente.mx. Old infrastructure is too costly for AI experiments.

The Hidden Danger of AI-Generated Code.

MiniMax M2.1 Created This App, But Does It Work?