Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

You’re standing in the grocery store, comparing the nutrition information for two different cereals. The enriched wheat bran cereal has more B12 vitamin content than your favorite sugary one. As an adult, you know that your body needs the additional vitamins in the enriched bran flakes, even if you really want that fruity, sugary hit in the morning. In security, your data needs that additional hit of nutrition so you can correlate and analyze events more effectively.

In our last post, we explored how short-term memory enables agentic AI to hold a conversation that doesn’t reset after every message. That form of memory is all about flow—preserving context, user intent, and logic within a single session, even as interactions stretch across multiple turns. The longer the session, the more memory is required to maintain continuity. But not all memory needs to be verbose. Long-term memory serves a different purpose: persistence across sessions.

As part of the DevSecNext AI series, Jit hosted Michael Balber—Principal Software Architect at CyberArk—for an in-depth session on how his team built and evaluated real Retrieval-Augmented Generation (RAG) agents in production. Unlike abstract discussions about LLMs and assistants, Michael shared a grounded view of what it takes to deploy agents that don’t just talk—they act.

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.

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.

The transformation of urban environments through Internet of Things (IoT) technology has created unprecedented opportunities for improving city services, enhancing quality of life, and optimizing resource utilization. This process of digital transformation modernizes and integrates city infrastructures, improving efficiency but also introducing new cybersecurity challenges.