Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most organizations responded to shadow AI the way they responded to shadow IT a decade ago: awareness campaigns, acceptable use policies, and training programs. The assumption was that if employees understood the risk, they would stop using unsanctioned tools. That approach did not work for shadow IT, and it won't work for shadow AI. The key difference is governance architecture.

Every CISO has prepared for a budget conversation by building the strongest possible business case. The right data, the right framing, the right numbers. But the security leaders who consistently earn CFO support are not necessarily the ones with the most polished decks. They are the ones who built the relationship that made the ask credible before it ever landed on the table. That distinction came through clearly in a recent conversation between Exabeam CISO Kevin Kirkwood and Exabeam CFO Mike Byron.

The days when compliance was just a documentation exercise are long gone. Now, it’s a critical priority for a wide variety of organizations. But compliance is more of a result than a goal. The goal is achieving resilience. Cybersecurity and data protection regulations are rapidly evolving far beyond traditional compliance checklists. Global frameworks and regulations such as NIS 2, DORA, GDPR, HIPAA, SOX and NIST 2.0 are placing greater emphasis on operational resilience.

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.