Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A Managed Security Service Provider (MSSP) in cybersecurity is a third-party organization that remotely manages and secures a client’s IT systems, networks and data. MSSPs provide cybersecurity services, including threat monitoring, incident response and compliance support. By outsourcing these functions, organizations can improve their security posture and reduce the burden on internal teams without requiring a large in-house security operations team.

Traditionally, engineers have relied on shared database passwords. When someone needs to run a query, they either already have standing access granted via a static credential everyone on the team knows, or someone has to scramble to create a quick workaround. Every new user, exception rule, or port forward through a bastion host becomes a “just this once” fix.

When the AI Agent Security Summit launched in San Francisco last October, agent-based threats had already escalated from a novel consideration to a predominant blocker for enterprise adoption. The security community was laser-focused on recognizing and minimizing the blast radius posed by agentic vulnerabilities, whether that meant indirect prompt injection, MCP poisoning, or hallucinations.

If you need tips, services, and more information on how to securely send files online, these tips and file-sharing services will help you get the best security and privacy to share personal or confidential documents online. We will cover the following topics throughout this article: If you need a quick, secure, and private way to share files, Internxt Drive and Send offer end-to-end encrypted file sharing with features such as password protection, allowing you to share any file securely and privately.

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.

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.

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.

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.

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.

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.