At BSides Austin 2024, experts shared solutions for AI safety, cloud logging, systemic security planning, and effective executive collaboration strategies.
We are proud to announce our new Auto-ignore false positive playbook. We've added this new automated Playbook to the GitGuardian Secret Detection platform to eliminate false positives from your incident queue and help you focus on actionable alerts. In the summer of 2024, we released FP remover, our internal machine learning model, that can significantly reduce false positives by understanding code context and semantics. In our testing it eliminates up to 80% of false positives.
We're updating your GitGuardian Workspace user interface, introducing a new sideba experience to make it even easier to navigate and take advantage of our secrets detection platform. We look forward to you using the updated GitGuardian UI to help eliminate secrets sprawl in your organization.
On December 4, 2024, the Ultralytics Python module was backdoored to deploy a cryptominer. Using GitGuardian’s data, we reconstructed deleted commits, connecting the dots with the initial analysis. This investigation highlights the value of GitGuardian’s data in understanding supply chain attacks.
Struggling with fragmented secrets management and inconsistent vault practices? GitGuardian new multi-vault integrations provide organizations with centralized secrets visibility, reduce blind spots, enforce vault usage and fight against vault sprawl.
Discover how GitGuardian is redefining non-human identity (NHI) security with comprehensive secrets security and governance solutions to protect against modern threats.
Securely managing secrets within the CI/CD environment is super important. Mishandling secrets can expose sensitive information, potentially leading to unauthorized access, data breaches, and compromised systems.
Automating secrets rotation requires maturity and planning. Let's look at how to inventory, scope, and secure credentials without risking downtime or vulnerabilities.