Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cybersecurity typically focuses on technical defenses against threats. However, the study of deception can show how cybercriminals exploit human nature for their gain. Scamming is central in many cyberattacks, such as phishing, social engineering, and disinformation campaigns. We can gain insight into how these mechanisms work by mapping the emotions that bad actors aim to trigger in their victims.

"The US healthcare system is broken" is not an uncommon phrase. With no universal healthcare coverage, administrative inefficiencies, and an under-resourced primary care system, it's so bad that falling ill could very well bankrupt a citizen.

Gain instant visibility into your cloud environment with Aikido Cloud Search. Search your cloud like a database. Whether you want to identify exposed databases, vulnerable virtual machines, or over-permissive IAM roles — Aikido gives you the power to uncover risk in seconds. No query language required, no waiting on devops. Just describe what you’re looking for, like “Give me all VMs with CVE-2025-32433 that have port 22 open.” Scroll down to "How It Works" to get technical.

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.

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.

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.