This webcast features Hal Denton discussing detection engineering, the development of the Echo Threat tool, and how it helps expedite threat detection and verification in security operations. He shares insights on leveraging AI, automation, and custom log simulation to improve detection speed and accuracy for SOC teams.
Keypoints :
- Hal Denton shares his extensive experience in security and detection engineering, emphasizing the importance of tools like Echo Threat for cybersecurity defense.
- The webcast introduces Echo Threat, a Python-based tool that injects simulated logs into SIEMs via log collectors, aiding detection verification and testing.
- Detection verification can be accelerated through log simulation, using YAML configurations and templates to mimic real attacker behaviors without lengthy burn-in periods.
- The tool supports randomized data generation, allowing creation of realistic and varied detection scenarios, including process creation, network activity, and persistence mechanisms.
- Using techniques like alert stacking, threshold-based rules, and Elastic’s ESQL, detection rules can be tuned and validated efficiently in a controlled environment.
- Hal advocates for taking control over verification processes to reduce detection release times, saving costs and enabling earlier threat mitigation.
- The presentation encourages community contributions, future feature support for cloud and M365 logs, and invites feedback for ongoing development.
- Youtube Video: https://www.youtube.com/watch?v=-fQFkrZAWmM
- Youtube Channel: https://www.youtube.com/channel/UCJ2U9Dq9NckqHMbcUupgF0A
- Youtube Published: Fri, 09 May 2025 06:27:08 +0000
Views: 13