Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In Shopify, “locking” your store doesn’t refer to a single built-in function. It can mean different things depending on your objective. For some merchants, it’s as simple as password-protecting the entire storefront during maintenance or pre-launch phases. For others, it involves restricting access to specific products, collections, or pages, especially in B2B or wholesale scenarios where pricing and inventory should only be visible to approved customers.

VPNs have long been considered the backbone of secure remote access, especially as organizations shifted to distributed work environments. By encrypting data in transit, they create a secure tunnel between users and corporate systems. On the surface, this appears sufficient to protect sensitive business operations and internal resources. However, encryption alone does not guarantee security. VPNs do not verify who is accessing the network, only that the connection is valid.

FedRAMP is the information security framework used by the United States government, and it’s required for any cloud service provider hoping to work with the government in a way that handles sensitive information. If you’re a cloud service provider and you want to become FedRAMP-authorized, how do you do it? Unfortunately, this is a more difficult question to answer than a lot of people wish.

AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked. That’s your real exposure. Shadow API discovery gives you visibility into those hidden endpoints, so you can find them before attackers do. If you don’t know which APIs your AI relies on, you can’t secure the system.

Generative AI and sophisticated social engineering have reshaped the cybersecurity landscape in 2026. Traditional "castle-and-moat" defenses centered on the Secure Email Gateway (SEG) are increasingly pressured by machine-scale attacks designed to bypass static filters. As organizations shift toward Integrated Cloud Email Security (ICES) models, a new technical and psychological barrier appears: the "black box" problem of defensive AI.

QR code phishing is a social engineering attack that embeds malicious URLs inside QR code images delivered through email. Because the payload lives inside an image — not in a clickable link or plain text — legacy secure email gateways (SEGs) never see it. The email passes inspection. The user scans the code with their phone. And the attack moves from a protected corporate desktop to an unmanaged mobile device outside your security perimeter.

The Department of Energy’s Office of Cybersecurity, Energy Security, and Emergency Response (CESER) has released its first five-year strategic plan, following the broader national cybersecurity strategy. It’s coming at a time when the energy cybersecurity landscape is changing quickly, in some cases faster than operators can realistically keep up.

Modern construction projects generate massive volumes of data, including BIM models, construction drawings, inspection reports, reality capture files, specifications, RFIs, and compliance documents. As projects grow in size and complexity, managing this information becomes increasingly difficult, especially when teams are distributed across offices, jobsites, and external partners.

There’s no infrastructure that’s always on and immune to all kinds of threats. Even the top providers leave a tiny margin in their Service Level Agreements (SLA), stating 99.999% uptime at most. The cloud, advertised as the universal cure for the problems of legacy on-premises setups, also turned out vulnerable. The most obvious and impactful manifestations of cloud vulnerability are cloud outages.

Most MITM attacks don’t announce themselves. No alerts fire, no certificates visibly break, and no users report anything unusual. By the time the interception is discovered, credentials or session tokens are already in attacker hands. Knowing how to detect man-in-the-middle attacks requires looking across multiple layers: network traffic, DNS resolution, TLS certificate integrity, and session behavior.