Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A security engineer spends three weeks building an AI agent that triages phishing reports. The demo lands well. Then it hits the security review queue, and the questions start: Which tools can it call? What happens if it misclassifies? Who approves an account lockout at 2 a.m.? Where are the logs? Three more weeks pass, and the agent is still sitting in staging. This is the pattern most teams run into. The agent works, but the governance story doesn't.

Since the announcement of the Atlassian Data Center end-of-life, organizations have started planning their migration to the cloud. However, it’s not a simple copy-and-paste job. Over time, your Jira and Confluence instances accumulate years of attachments. These might include screenshots, log files, ZIP files, duplicate uploads, and other items nobody remembers uploading. You might not even realize these files exist until migration begins and the bloat starts causing delays.

Data encryption is a complex, but crucial aspect to protect your data, either in the cloud, in your private cloud storage, or when you send messages, emails, or send or transfer any information via the internet. To help simplify this topic, this article will cover: We will also cover the best encrypted cloud storage to protect your data in the cloud, and which encryption methods are best for your privacy.

Security threats don’t announce themselves. They can slip in through vulnerabilities in your code, hide in third-party libraries, and exploit gaps that your team hasn’t had time to patch yet. That’s why application threat detection isn’t just a nice-to-have; it’s the foundation of a modern security program.

If you’ve deployed your first AI agent, then you must have given it access to your CRMs, ticketing systems, and your cloud storage. This AI agent is programmed to run 24/7, make decisions, call external APIs, and trigger actions (without a human in the loop). Now, answer these questions: If you cannot answer these questions, then you have an agentic AI identity issue. Traditional Identity and Access Management (IAM) was built for service accounts with static API keys and users with usernames.

Artificial intelligence is rapidly transforming how organizations approach cybersecurity. However, much of the debate still centers on the same old question: will AI eventually replace security analysts? In reality, the question is no longer whether AI will replace analysts, but how it can amplify their performance and redefine their role within the SOC.

An attacker republished the entire @mastra npm scope on June 17, 2026, slipping a single malicious dependency into 143 packages and counting, including @mastra/core, which pulls roughly 4 million downloads a month and has hundreds of dependent projects. The injected dependency, easy-day-js, is a dayjs lookalike whose install hook disables TLS verification, downloads a second-stage payload from a raw IP address, and runs a cross-platform cryptocurrency stealer in the background.