Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security leaders spent most of the past year testing AI driven security automation. Many discovered that the promise of fully autonomous SOC operations collided with the reality of hallucinations, opaque recommendations, and inconsistent outcomes. McKinsey research now shows that more than 80 percent of organizations have not realized meaningful results from gen AI programs.

The evolution of your security stack is similar to the different phases of buying cars. In the beginning, you just need enough to transport a few items, maybe yourself and a few friends. The inexpensive two-door hatchback is perfect. However, as your family grows, whether with small humans or pets, you increasingly need more space and more capacity, leading to purchasing a four-door sedan or, even, a mini-van.

Most teams think of data lakes as cold storage. A long-term archive. A place to keep logs “just in case” while budgets tighten and ingest volumes rise. Functional, sure. But limited. The traditional data lake keeps everything, helps occasionally, and rarely fits the way analysts work. Graylog approaches the data lake differently. In Graylog 7.0, the data lake is not a warehouse. It is a pressure release valve for teams overwhelmed by storage cost, investigation delays, and cloud data sprawl.

In the original Star Trek television show, Captain Kirk would slightly recline in a command chair with various buttons that allowed him to deploy different technologies. Regardless of the alien threat, he had the necessary tools at his disposal to protect the Enterprise and his staff. An organization’s security operations center (SOC) acts as the Captain Kirk “command chair” for all security activities.