Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The New Perimeter in Retail: Turning ZTNA Visibility into App Innovation

Currys shares its ongoing implementation of zero trust network access (ZTNA) to embed true zero trust principles across the retailer’s application landscape. Full configuration will conclude next year, but the initial rollout for applications has already yielded positive results. Netskope provides deep insight into user behavior, identifying when users attempt to access unknown or unsanctioned applications.

Cato Private Access: Zero Trust Access Without the Operational Overhead

Most organizations understand the need for Zero Trust access to private applications. The challenge is delivering it without creating operational bottlenecks, increasing network risk, or slowing projects with weeks of coordination. In this video, Chris Rudolph explains how Cato Private Access enables secure, application-level access to private applications without requiring routing updates, inbound firewall changes, or complex network redesigns.

15 Best Zero Trust Network Security Tools [By Category]

Trust is expensive. The wrong zero trust network security tool can leave you with more standing access and more risk than you started with. In today’s modern and complex environments, this sentiment matters more than ever. 22% of breaches involved credential abuse as the initial access vector. In this guide, we break down the best zero trust network security tools by category, helping you choose the optimal solution for your requirements.

How to Extend SPIFFE Beyond Kubernetes: Bring Zero Trust Identity to Your VMs

Our previous post, How to Secure Microservices with SPIFFE and Istio, showed how to secure Kubernetes microservices using Istio policy and SPIFFE identities, with Teleport issuing the identities that the mesh trusts. The question teams face next is: How do you extend that identity-driven security model to workloads outside Kubernetes — such as VMs, edge gateways, and legacy services — without creating a massive certificate-management project?

AI Security Architecture: Zero Trust Patterns for GenAI and ML

There is no doubt that AI, or Artificial Intelligence, is rapidly changing how businesses are operating. However, it also brings new risks when it comes to data. As per industry reports, 72% of companies mention that there has been a significant increase in organizational cyber risks. It is therefore necessary to have a strong AI security architecture that helps to protect sensitive information. In light of this, 85% of organizations are now increasing their cybersecurity budget.

Zero trust is not a product: The architecture mistake most security teams make

Zero trust is not something you buy off a shelf. It is an architectural and cultural shift in how your organization thinks about access, risk, and trust across every layer of your environment. Most zero trust approaches are anchored on three core principles: verify explicitly, use least privilege access, and assume a breach. Verifying explicitly means using strong, context-aware authentication (like MFA, device posture checks, and risk signals) for every connection.

Hybrid Team Security After the VPN Switch: A Field Playbook

Hybrid work security breaks when teams pretend every remote session starts from a clean, controlled network. It does not. People connect from home routers with old firmware, from shared family devices, from hotel Wi-Fi where nobody can tell you who else is sitting on the same access point. A VPN tunnel helps protect traffic in transit, yes, but that is only one slice of the risk surface. If the endpoint is weak or the account is compromised, the tunnel just carries bad traffic more privately. Start with an exposure map before buying more tools. List where people actually work, which devices they use, which apps they touch daily, and which actions would cause real damage if abused. Then rank those flows by business impact. I think teams skip this because it feels less exciting than deploying software, but this map is what keeps programs grounded. Without it, controls get placed where they are easy, not where they matter, and attackers find the same blind spots over and over.

What Is Zero Trust AI Access (ZTAI)?

Zero Trust AI Access (ZTAI) is a security framework that applies “never trust, always verify” principles to every interaction involving AI systems, including LLMs and AI agents, as well as the sensitive data they process. Traditional zero trust was built to protect people accessing applications. ZTAI extends those same principles to a new category of actor: AI itself.