Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Claude Code reads a threat report, hunts for IOCs, and deploys detection rules #cybersecurity #ai
From threat intelligence article to deployed coverage. The AI agent extracts indicators, searches for compromise across tenants, confirms clean status, then creates and tests detection rules for ongoing protection within your LimaCharlie environment.
Complete asset inventory from a single prompt in Claude Code #cybersecurity #ai
The AI agent collects sensor status in LimaCharlie, validates endpoint and cloud coverage, maps platform distribution, identifies deployment gaps, and delivers a full posture assessment for the tenant.
A Step-by-Step Guide to Enabling HIPAA-Safe Healthcare Data for AI
Healthcare organizations are under immense pressure to improve care quality, reduce costs, and operate more efficiently. AI is speeding and simplifying all activities and is integrated across most workflows. But there’s a tradeoff: the moment patient data enters an AI workflow, your HIPAA obligations intensify. HIPAA violations are not theoretical.
Why CVEs Alone Don't Explain Risk | Ed Amoroso & Garrett Hamilton on Actionable Security
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.
The Strengths and Shortcomings of AI Control Tower
This is why platforms like ServiceNow AI Control Tower are showing up in governance roadmaps. Control Tower helps organizations standardize how AI systems are requested, reviewed, cataloged, and managed across their lifecycle. It can bring order to chaos. But there’s a second, equally important reality: the strongest governance workflow in the world can’t govern what it can’t see.
Prevent data exposure in AI
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.
Manage security posture of GenAI apps
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.
GLM 4.7 vs. The Giants: Is This the New King of AI Coding?
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.
Safe agentic commerce starts with KYA and dynamic IDV
Product, fraud, and trust and safety teams at online merchants and marketplaces have been fighting bots for a long time. While there were occasional disagreements about how “bad” bots were (a purchase is a purchase, some might say), the general consensus often ranged from suspicious to block them all. But not anymore. As AI-powered browsers and agents become more commonplace, online merchants have to prepare for a world where agentic commerce is a standard sales channel.