Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI vs. Security: It’s a Hit or Miss.

Noisy alerts slow down every SOC. See how Claude Code with LimaCharlie can analyze your existing detection logic and trigger alerts to identify what's generating the noise and what can be done about it. After running the prompt, Claude Code reviews your rules and their trigger frequency, identifies the ones generating false positives, and produces specific recommendations for suppression rules to apply. In this example, it flags three rules and provides the logic to address each one, whether the issue stems from a syntax problem or detection logic that needs tightening.

Adversaries are weaponizing AI, accelerating tradecraft and moving from access to impact at machine speed. As breakout times collapse to seconds, security teams cannot rely on manual processes or static automation to keep up. Meet the CrowdStrike Agentic SOC, a new operating model built for the AI era.

Day 2 at the AI Impact Summit was all about debunking myths. One major takeaway from our conversations today: Most leaders think AI security is just about stopping 'bad prompts.' But the real danger is exposing sensitive data to the model in the first place. If you aren’t sanitizing your data before it hits the AI, you’re leaving the door wide open. We’ve been showing attendees at Bharat Mandapam how Protecto bridges the gap between basic AI security and true Data Privacy.

This video shows how Claude Code handles a full tenant setup in a single workflow: creating a new organization, deploying Sigma rules, and enabling Git Sync, all in one run with LimaCharlie. Claude Code creates the organization, deploys the community Sigma rules available on the platform, and configures the Git Sync extension. That extension automatically creates a GitHub repository and syncs both the detection rules and the full tenant configuration to it, giving you version-controlled infrastructure from day one.