Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Ever get one of those annoying error messages on your phone that gives way too much detail? You know, the ones that tell you the line of code that failed or the exact database query that crashed the app. As an app user, you may dismiss the message and move on. But did you know those overly verbose error messages could be exposing your personal data?

AI Agents are not just another tech trend; they are fundamentally reshaping how enterprises operate. These autonomous systems are deeply embedded into workflows, making real-time decisions, executing tasks, and integrating across an organization’s most critical systems. With this shift comes an undeniable reality: enterprises are handing over operational control to AI-driven entities without the necessary governance and security frameworks in place.

At Rubrik, we rely on a multi-tenant architecture to store customer metadata in a large fleet of Cloud SQL database instances. With numerous production deployments globally, each supporting multiple customer accounts, maintaining high availability, performance, and robustness across this infrastructure is critical. Managing a large fleet of Cloud SQL instances and ensuring they remain resilient and performant has been a journey filled with valuable lessons.

We are often asked how Rubrik Security Cloud differs from AWS Backup. It's a valid question because, at first glance, the two solutions seem similar. Both have cloud-first, API-driven architectures. Both are built specifically to ensure reliable backup and recovery for data stored across AWS. Both support a wide range of the most popular AWS workloads including EC2, EBS, S3, RDS and EKS.

Torq took home the top prize at Check Point’s 2025 Innovation Sandbox Competition during their annual CPX conference in Las Vegas. Chris Coburn, Torq’s Sr. Director of Tech Alliances, faced off against 13 other companies to pitch Torq’s AI-native autonomous SOC to a panel of judges and voting audience.

Businesses must manage IT operations and cybersecurity in the day-to-day and ever-evolving digital world, which is becoming more and more complicated. Cyber threats, system warnings, and the increasing amount of data are too much for traditional IT management techniques to handle. This is where artificial intelligence for IT operations changes the game.

How good is Symbolic AI as an automated expert system for analyzing code paths and detecting security vulnerabilities? Snyk Code is tested and demonstrates the benefits of rule-based, algorithmic systems.