The end of the year for technology companies always brings with it a raft of new predictions for the coming twelve months. Many predictions, breathlessly delivered, suggest a tenuous future can be conveniently avoided with the appropriate application of vendors’ products.
Using predictions as a way to shill products is boring, and it misses an opportunity to help enterprises plan for the coming year. After all, predictions don’t have to be correct to be useful. While counterintuitive, Karl Schroeder summed it up best when he said:
“Foresight is not about predicting the future. It’s about minimizing surprise.”
Predictions shouldn’t be carved in stone to be tested twelve, twenty-four, or thirty-six months later. Instead, enterprises should use them to think through fringe scenarios, test their assumptions, and anticipate change.
With that in mind, let’s take a high-level look at some of Cribl’s predictions for 2025.
Will Losing the Chevron Doctrine Impact US Cybersecurity?
The Supreme Court's 2024 Loper Bright ruling effectively dismantled the long-standing Chevron Doctrine, which had previously given federal agencies significant latitude in interpreting and implementing Congressional laws. While this change flew under the radar for many cybersecurity professionals during early 2024 discussions, it represents a seismic shift in how federal agencies can respond to emerging technology threats and challenges.
The ruling means federal judges, rather than specialized agencies, now have primary authority to interpret ambiguous laws—a change that could dramatically impact the government's ability to adapt cybersecurity regulations to rapidly evolving threats. How will your industry’s cybersecurity regulations shift when amateur judges replace experienced federal regulators?
Are Your Observability Agents Holding You Back?
As organizations push towards advanced observability by 2030, a critical transformation involves decoupling telemetry collection from telemetry analysis across their technology stacks. How can organizations overcome the operational headaches caused by tightly coupled agents and analytics platforms, especially when trying to deploy new visualizations or share telemetry between teams?
Where Does the Data Go When AI Projects Fail?
The AI landscape is a graveyard of ambitious projects. A staggering 80% of AI initiatives fail, according to a Rand study. That’s a grim picture of the challenges inherent in AI development and deployment. But what happens to the vast amounts of data that fuel these failed projects?
Overriding all of these predictions we’re forecasting for 2025 is the uncertainty of a new US administration. Federal CISOs and CIOs in particular can expect wholesale changes to previously issued executive orders and regulations amid shifting priorities. Enterprise IT leaders may expect reduced oversight, which could spur a wave of acquisitions and the expected consolidation of IT investments. When possible, IT leaders, from public to private, should embrace this shift as an opportunity to establish their role as driving business value rather than as resistant to change.
Get the full details to these topics and more in our 2025 Trends and Predictions ebook.
