Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.