Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

DevSecOps Implementation Checklist for Mobile Apps

Shift left. Secure fast. Release often. Mobile teams are adopting this approach from day one to boost productivity, facilitate cross-team collaboration, and shorten release cycles. As mobile apps become the primary gateway to business and customer data, embedding security into every stage of development isn’t a luxury—it’s a necessity.

Top Devsecops Tools in 2025

DevSecOps isn’t just a buzzword in 2025 – it’s how modern teams build software without leaving security behind. About 61% of DevOps teams have now adopted DevSecOps practices, meaning automated security checks are embedded throughout development. And for good reason: cyber threats are evolving, from surging open-source supply chain attacks (over 10,000 malicious packages were found in one quarter) to misconfigurations that attackers exploit in cloud infrastructure.

Jit Now Supports On-Prem and SaaS Versions of GitHub, GitLab, Bitbucket, and Azure DevOps

Security experts dedicated to shaping insightful editorial content, guiding developers and organizations toward secure cloud app development. Dive into a wealth of knowledge and experience in fortifying software integrity. Modern development teams work across a range of environments — some in the cloud, others in on-premise setups. Until now, security tooling hasn’t kept pace with this hybrid reality.

Hi My Name Is...the Not So Shady Side of Long-Term Memory in AI

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.

Inside CyberArk's Journey: What It Really Takes to Run RAG Agents in Production

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.

From Python to Prompts: Becoming an AI-First Developer

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.

Why CI/CD Security Scanning Is Non-Negotiable in Modern DevSecOps

In the race to deliver software faster and more frequently, Continuous Integration and Continuous Deployment (CI/CD) pipelines have become the backbone of modern DevOps workflows. But with this speed comes a critical trade-off — security. Integrating security checks into your CI/CD pipeline is no longer optional; it’s a necessity. This is where CI/CD security scanning steps in.

DevSec Next AI: AI-First Coding Workshop: Transforming Development Workflows

This workshop introduces experienced engineers to AI-first coding - a paradigm where AI tools generate most of the code while developers focus on direction and refinement. ​We'll explore how large language models work underneath the hood, revealing practical techniques to maximize their effectiveness in development workflows. ​Participants will learn the powerful "Plan-then-Act" methodology, discover how to leverage context windows effectively, and implement structured memory bank approaches to maintain project continuity.