Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Microsoft 365 (formerly Office 365) is a critical platform for modern organizations, enabling collaboration across email, file sharing, and communication tools. While it includes built-in data protection features such as retention policies, many organizations make a common mistake: They assume retention is the same as backup.

For decades, enterprise security architecture rested on a comforting fiction: that inside the network and outside the network meant something. The user on the corporate LAN was protected. The user anywhere else was somebody else's problem. Then the workforce stopped sitting still. Hybrid work, branch sprawl, BYOD, contractor laptops, field engineers, sales teams permanently on the road—your workforce stopped being a place and became a population.

Organizations are not choosing between AI adoption and data security. Rather, they are discovering, often after the fact, that these two priorities are pulling in opposite directions. The engineering team has been using GitHub Copilot for six months. Finance is running variance analysis through ChatGPT. Legal is pasting contract language into Gemini for redlining. According to Cyberhaven Labs research, 39.7% of the data employees share with AI tools is sensitive.

The culmination of all of your efforts to implement CMMC rules as per your DoD contracts is the audit. Hiring a C3PAO and having your systems and security reviewed, so you can earn your certification and start working in the defense ecosystem, is the capstone to the long and arduous process. Unfortunately, many companies encounter a serious problem when it comes time to hire their C3PAO: the timeline.

AI is moving from experimentation to execution. What started as copilots is quickly evolving into autonomous AI agents that can make decisions, execute tasks, and operate across enterprise environments. As organizations accelerate adoption of agentic AI, they’re expanding their attack surface in ways traditional security models weren’t built to handle.

A practitioner's guide to the capability shifts, framework changes, and regulatory developments reshaping how enterprise IT and cybersecurity teams govern, deploy, and defend against autonomous agents.

Platform engineering is the practice of building and maintaining a centralized internal developer platform (IDP), a curated set of tools, workflows, and self-service capabilities that application teams consume rather than configure on their own. It's a structural response to how DevOps practices evolve at scale, particularly when "you build it, you run it" introduces more cognitive load than individual development teams can sustainably manage.

Managing users in Atlassian manually, especially with large numbers of users, is time-consuming and error-prone. It’s inconvenient, but more importantly, it introduces major security risks in case an ex-employee still has access. Also, there’s no point in paying for extra licenses. miniOrange User Provisioning for Atlassian addresses this. It synchronizes users, groups, and directories directly from their identity providers into Jira and related Atlassian applications.