Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How I wrapped large-language-model power in a safety blanket of secrets-detection, chunking, and serverless scale.

The exponential growth of Internet of Things (IoT) deployments across enterprise environments has fundamentally transformed how organizations approach cybersecurity. The rapid increase in IoT connections has significantly expanded the attack surface, making it more challenging to secure networks. Enterprises face unique challenges and require robust IoT security frameworks to manage the scale and complexity of their deployments.

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.