Today, organizations struggle managing disparate technologies for their Kubernetes networking and network security needs. Leveraging multiple technologies for networking and security for in-cluster, ingress, egress, and traffic across clusters creates challenges, including operational complexities and increased costs.

Proactive defenses are essential because attackers who breach your perimeter will relentlessly seek to move laterally across your network—compromising additional systems and exfiltrating data under the guise of legitimate traffic. In many cases, adversaries can initiate lateral movement in under two hours and remain undetected for weeks, giving them ample time to escalate privileges, pivot through infrastructure, and quietly embed themselves.

The UK is facing the same evolving digital challenges as the rest of the world, and its new Cyber Security and Resilience Bill is designed to not only help it catch up - but stay ahead. Attackers change their tactics all the time. Without an agile, living framework that gives lawmakers some breathing room, adversaries could easily outstrip the clunky government processes that govern cybersecurity (and often a step behind).

As part of the DevSecNext AI series, Jit hosted Sahar Carmel—Principal AI Engineer at Flare—for an inside look into what it really takes to become an “AI-first” developer. With nearly a decade of experience in AI and machine learning, Sahar has been hands-on with copilots and agents long before they were mainstream. In this session, he walks through his radical shift in workflow: from writing code line-by-line to orchestrating prompts, tokens, and memory banks.