Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Defense at Machine Speed: How Arctic Wolf Built the Aurora Agentic SOC on AWS

Avni Wala, Principal Developer – Arctic Wolf Laura Ellis, SVP Artificial Intelligence – Arctic Wolf Merin Eralil, Security Partner Solutions Architect – AWS Tim Sitze, Solutions Architect – AWS AI didn’t just make defenders faster. It made attackers faster too. The moment both sides got access to the same speed, speed stopped being the advantage. With speed no longer separating attackers from defenders, the deciding factor moved somewhere else.

Best API Frameworks in 2026: How to Choose the Right One (and What Most Teams Miss)

Framework choice isn’t really about syntax or GitHub stars. It’s a multi-year commitment that shapes architecture, team habits, hiring, and how painful your next migration will be. Frameworks decide your architecture by default, whether you choose it or not. Some frameworks default to synchronous request handling; others assume non-blocking IO from day one. Some nudge you toward a monolith; others push you toward services that split naturally.

Jira Access Reviews: How to See Who Has Access to Every Project, Before an Auditor Asks

If you’ve managed Jira for a while, you've probably seen permissions grow more complex over time. You might have accounts that were granted temporary access during a migration but are still retaining it today. Or maybe contractors whose access was never revoked. You can clean that up. But with hundreds of users and projects, it’s going to take forever. Things become even more complicated when you're preparing for a SOC 2, ISO 27001, or SOX access review.

How to Connect Claude to Jira Securely Without Giving AI Unrestricted Access

Teams are connecting Claude to Jira to summarize issues, draft tickets, and answer sprint questions in seconds. The productivity gains are real, but so is the security risk. The problem is simple: a direct connection gives Claude the same permissions as the person who set it up. If that user can view confidential projects or delete issues, so can Claude. There's no business logic in between deciding what AI should and shouldn't touch. Most organizations don't want to ban AI.

Best Ransomware Protection Tools to Protect Your Business

Ransomware attacks remain one of the most damaging cyber threats facing businesses today. These attacks mostly begin through phishing links, malicious downloads, exposed services, or stolen credentials. Once attackers gain access, they begin encrypting data to demand ransom and disrupt overall business operations. To mitigate this risk, organizations need to implement strong ransomware protection that blocks malicious activity early and detects suspicious behavior.

CISO Risk Intel Brief: Application Risk Intelligence for Early August 2026

Senior security leadership continues to confront a dual acceleration: self-propagating software supply-chain worms that weaponize developer credentials at unprecedented velocity, and the persistent security debt introduced by AI-generated code. This briefing synthesizes material developments across the most recent seven days and the preceding thirty days, framed strictly around residual risk, control effectiveness, and business enablement.

How Behavioral Analytics Closes the Insider Threat Dwell Time Gap

Insider threats often remain hidden during early activity because individual actions appear normal in isolation. Behavioral analytics closes the dwell time gap by establishing baselines for normal behavior, evaluating activity over time, and identifying meaningful deviations before attackers trigger traditional detections.

Why Traditional Security Monitoring Is No Longer Enough in 2026

Cybersecurity has become significantly more complex over the past few years. Attackers no longer rely solely on mass phishing campaigns or simple malware. Modern threat actors use automation, artificial intelligence, credential theft, living-off-the-land techniques, and multi-stage attacks designed to evade traditional security controls. As a result, organizations that still depend on conventional monitoring tools often struggle to detect and contain threats before damage occurs.

Shadow AI Is the New Shadow IT: Getting Visibility Into the Models Your Teams Already Use

Security teams spent a decade wrestling shadow IT - the unsanctioned SaaS accounts, personal Dropboxes, and rogue cloud instances that employees adopted faster than governance could follow. That battle produced hard-won playbooks: discover, broker, monitor. Now the same movie is replaying with AI, at higher speed and with higher stakes. Developers embed model APIs into services over a lunch break, marketing teams paste customer data into chatbots, and product features quietly ship with third-party inference behind them. Most organizations today cannot answer a basic question.