Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most people know the old fairy tale of the boy who cried wolf. Every day, the little shepherd would scream from the top of his hill, “A wolf is chasing the sheep!” While villagers initially responded to the alarm, they soon realized that the boy was lying to them. In the end, when a wolf truly did chase the sheep, no one heeded the boy’s cry.

Security operations teams are under sustained pressure. Alert volumes continue to rise, environments grow more distributed, and experienced analysts remain scarce. Much of the industry conversation around AI focuses on autonomy and fully automated response. That focus skips the most reliable efficiency gains available right now.

2025 exposed a shift that had been forming for years. Security operations were not slowed by limited visibility or weak tooling. They were slowed because the effort required to interpret growing volumes of data increased faster than staffing, budgets, or governance frameworks could support. Alert queues expanded, dashboards multiplied, cloud bills shaped retention choices, and AI arrived before most organizations had clear policies to supervise it. It was not a talent problem.

The Ransomware-as-a-Service (RaaS) ecosystem has changed the look and shape of modern day ransomware attacks. Malicious actors typically view their cybercrimes as a business, hoping to make the most amount of money with the least amount of effort. For example, according to research, AI-automated phishing attacks performed similarly to human generated ones and 350% better than the ones sent to the control group.

On April 8, 2025, the National Security Division (NSD) of the US Justice Department (DOJ) implemented the Data Security Program (DSP).

If Darth Vader and the rest of the Empire made one major strategic mistake, it was failing to understand the important role that the human element plays in security. Convinced of their superiority, the Empire’s leaders assumed that the Death Star was impenetrable. However, in the end, it was a scientist and his team who compromised the technology by building in a backdoor.

A security information and event management (SIEM) solution aggregates and correlates data from across the organization’s complex, interconnected environment. Modern enterprise IT consists of decentralized users and applications that require organizations to implement technologies that provide visibility across disparate security solutions. Simultaneously, SIEMs have a reputation for being difficult and expensive to manage.

The irony of being an adult working in IT and security is that where having your head “in the clouds” was inappropriate as a child, today most of your activities require you to have your head in the cloud. Organizations moved their business operations to the cloud because they could achieve various operational benefits, like improved collaboration and reduced costs. Yet, many companies still maintain an on-premises SIEM.