Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

There is a moment in security operations that has become increasingly familiar: nothing looks obviously wrong. The login is valid. The employee has the right permissions. The AI agent is using credentials it was legitimately given. And yet something has changed. That change is often where the real story begins.

Most organizations have a removable media policy. Few enforce one, and that shortfall drives breach costs and compliance exposure. Closing it takes a default-deny baseline, an approved-device register, encryption on everything you allow, expiring exceptions, and audit evidence proving each clause works. Writing a removable media policy takes an afternoon, and most organizations already have one covering USB drives and other portable storage.

Unmanaged data stores let permissions drift while sensitive data accumulates unnoticed. They are repositories an organization doesn’t actively govern, leaving them without an owner, an access-review cadence, or a retention policy. Securing them means assigning ownership, correcting access, and maintaining continuous governance and visibility.

Active Directory defenses must combine identity fundamentals, telemetry, and rapid response as attackers reach the environment’s first breach attempt within a median of 11 hours.

Attackers don't read your repository; they hit your URL, and chain together whatever they find. In an era where offensive AI runs against live applications at machine speed, your security tooling needs to go beyond finding vulnerabilities to prove exploitability, including whether they can be combined into a breach.

Last week, Snyk CTO Manoj Nair sat down with Alon Krifcher, Head of Applied AI from Anthropic, for a live discussion on the coming wave of autonomous attacks. Manoj kept landing on one thing: the AI Hurricane has already arrived, and what's left is deciding whether your defense runs at the same speed as the threat.

Most security teams aren't short of data. The harder problem is turning that data into intelligence they can act on. This guide sets out the seven criteria that separate an effective threat intelligence tool from another unused dashboard: dark web coverage, relevance, human analysis, speed, multi-audience outputs, integration and provider trust. It also covers the red flags to watch for during procurement and gives ten questions to ask every vendor.

Cybersecurity programs have become increasingly specialized and become a rather expansive enterprise responsibility. Protecting a modern organization can involve identity, endpoints, networks, applications and APIs, cloud infrastructure, data, threat intelligence, detection and response, governance, risk and compliance (GRC), incident response, and cyber resilience. Each discipline brings specialized technologies, processes, and expertise to the security program.

The ASOS cyber attack reported on 6 October 2026, has raised fresh questions about third-party access, SaaS security and how modern organisations manage an increasingly connected attack surface. The incident became public in an unusual way: customers received an unauthorised mobile push notification through the ASOS app claiming the retailer had been compromised. ASOS later confirmed that basic personal information, including names and contact details, may have been accessed.

Data replication is primarily used when service and data availability requirements are high. There are two types of replication – real-time replication or continuous replication and traditional replication, also called periodical or snapshot replication. Real-time replication has more advantages than traditional replication but consumes more resources. For this reason, it is better to follow data replication best practices to implement real-time VM replication for disaster recovery.