Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Enterprise AI adoption moved fast. Speed mattered. Shipping mattered. Getting AI into production mattered. That phase is over. Security leaders are now asking a harder question: whether the AI already embedded in security operations is safe, explainable, and aligned with how modern SOC teams actually work. The focus has shifted from adoption to trust, specifically explainability, governance, and operational fit.

Every superhero needs a sidekick. For your network and security teams, that is Cato’s ASK AI Assistant, our new AI Assistant built to help you see, solve, and secure faster than ever. This isn’t a basic Q&A tool. It brings customer-specific information and ability to work with other tools to answer complex questions.

AI coding assistants have fundamentally changed development velocity. With tools like Augment Code, developers can now build and iterate at a pace that was unimaginable just a few years ago. However, this explosion in speed has created a new challenge: security teams, often still relying on manual review processes, are becoming the bottleneck.

Artificial intelligence is increasingly ingrained in every aspect of healthcare diagnostics, financial systems, autonomous vehicles, and critical infrastructure. Still, the reality has set in: these systems are under threat unlike anything we have seen, and existing cybersecurity frameworks were never designed to handle AI-specific threats.

Automated red teaming uses software to simulate cyberattacks and test security defenses, helping organizations find and fix vulnerabilities more efficiently. It automates tasks like credential harvesting, system enumeration, and privilege escalation to test security posture in a continuous, scalable manner. Beyond traditional systems, automated red teaming can also be used for AI systems, where it tests for risks like data poisoning or prompt injection in generative models.

DevOps has become an important practice for companies looking to efficiently meet customers’ expectations, accelerate software delivery, and optimize resources. Companies that embrace the DevOps culture can smoothly merge their development and operations teams, resulting in faster releases and better development.

‍Cyber risk quantification (CRQ), the process of modeling cyber threats and forecasting loss outcomes, is becoming foundational to how organizations govern and respond to cyber exposure. What began as a specialized function is now shaping the priorities of security operations and enterprise risk management as a whole.