From Zero to AI-Driven SOC: How to transform detection, triage, investigation, and response with Exaforce

Exaforce has significantly strengthened our GitHub detection and response. Following our recent credential breach, their platform enabled us to quickly pinpoint and neutralize threats, ensuring our code repositories are far better protected.

Pioneering early with Exaforce and their novel Agentic SOC platform has significantly enhanced our detection and response for cloud services, such as Github, used by our development teams, in spotting identity misuse. The platform delivered actionable cloud insights within 24 hours of onboarding - one example was identifying 3rd party vendor misuse of their credentials in our environment. The rich data platform provides quick answers to hard questions & tasks across our SaaS and IaaS environments.

Teams today are struggling to optimize their use of AI for SOC efficiency without creating data problems along the way. To solve this, a solution needs to be able to standardize and gather both posture and runtime data to enable full AI optimization. Exaforce is tackling this issue head-on. This solution is taking an “AI Native” approach to security operations by building the first end-to-end SOC platform for agentic AI.

CFS utilizes the Exaforce Agentic SOC platform, which has contributed to reducing investigation times, in some cases from hours to minutes. The platform's auto-triaging of alerts has significantly reduced manual effort, saving valuable time. For the past year, Exabots have provided 24x7 MDR capabilities, continuously monitoring our environment and supporting our security engineering & operations teams.