Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The EU Artificial Intelligence Act (AI Act) introduces the world’s first comprehensive regulatory framework for artificial intelligence. It defines clear rules for how AI systems are built, deployed, and monitored, focusing on risk management, data governance, transparency, and accountability. Any organization offering AI-powered products or services to EU users (or processing EU data) must comply.

AI-powered SOCs are dominating industry conversations, yet security leaders remain split on whether a truly autonomous SOC can ever exist. Despite certain vendors aggressively marketing fully autonomous SOC solutions, Gartner's analysis "Predict 2025: There Will Never Be an Autonomous SOC" suggests solutions in the market are unlikely to deliver against claims of full autonomy. As someone who has run SOCs, I agree. Full autonomy isn’t the answer.

Workflows aren’t new, or glamorous. But every major leap in technology has been about making work flow better. The assembly line automated production. The personal computer and the internet reshaped knowledge work. The cloud, mobile, and collaboration tools broke down barriers of place and time. We explored this evolution in a recent piece, “A History of Workflows.” Today, we’re examining the present. With automation and AI, we’re at the next leap.

From human hands to autonomous agents: tracing the evolution of how work gets done Workflows are the hidden engine behind every organization. Whether it’s resolving a security incident, provisioning a new hire, or onboarding a new client, these sequences of tasks are what turn intent into action. But workflows didn’t always look the way they do today. Today, we’re exploring how workflows evolved from manual, human-led steps to powerful AI-driven systems.

Now introducing task management for Cases!