In today’s digital-first world, most security problems are actually data problems, and data volumes are outpacing organizations’ abilities to handle, process, and get value from it. You’ll have 250% more data in five years than you have today, but the chances of your budget increasing to match that are slim. The challenges that come with managing the rise in enterprise data volume directly affect your ability to adequately address cybersecurity risks.

The zero trust security model is an approach to network security that enforces strict access controls and authentication at every stage of the software development lifecycle. It treats every user, device, and transaction as a security risk and uses the principle of least privilege to restrict access to sensitive resources and minimize the potential attack surface.

Traditionally, CFEngine policy sets are managed as a whole. When upgrading the Masterfiles Policy Framework (MPF)1 users must download the new version of the policy framework and integrate it into the existing policy set, carefully diffing the vendored policy files against their currently integrated policy. Updates to policy authored by others must be sought out and similarly integrated.

As part of our ongoing commitment to security, we are excited to announce we have partnered with GitHub to protect our users on public repositories via GitHub’s secret-scanning feature. Through the partnership, GitHub will notify Grafana Labs when one of the following secret types is exposed in the code of a public repository: GitHub actively monitors public repositories for leaked secrets. When a secret is detected, its hash is stored in Grafana Labs’ Secret Scanning API.