Secure the software supply chain w/ detection as code & modern SIEM
summary
Panther shows a cloud-first SIEM that applies detection-as-code in Python, running real-time Lambda detections and storing raw logs in Snowflake as a security data lake. GitHub and custom app logs rank surprisingly high, and the platform claims one year retention and 25–50% SIEM cost savings versus legacy vendors. Detections run immediately, trigger automated responses (Slack prompts, scripted password resets, ticketing) and integrate with CI (GitHub Actions) so rules are versioned and rollbacks are quick.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 2:39Dev537
- 4:03Kill Chains
- 8:28Log Types
- 9:47Tradeoffs
- 13:20How it works
- 13:56Customers
- 14:11Outro
related talks
19mSecuring the software supply chain with detection as code
49mPrepare for the unexpected with code-to-cloud security
30mPySecure: Your Security One Stop Shop using Python
05mhelps deploy modern apps at speed while maintaining security
49mBuilding digital resilience with unified security and observability
08mKeynote: Why Wait? Find Cloud Risks and Threats in Real Time with Stream Detection
58mScalable and sustainable Cybersecurity
30mSecurity or Speed? Choose both!