Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

By 2026, the idea of a fixed security perimeter is no longer realistic. Organisations now operate across cloud platforms, industrial environments, remote sites, and edge locations, often supported by tens or hundreds of thousands of connected devices. These devices are not users in the traditional sense, yet they authenticate, communicate, update, and make decisions autonomously.

As 2025 closes and we look toward 2026, the cybersecurity industry is bracing for radical changes that go beyond just intensifying existing problems. To help prepare for these new challenges, at least as much as is possible, a few of our experts weigh in on the defining shifts across the security landscape, from the evolution of nation-state tactics and the crisis in core internet infrastructure to the necessary, strategic pivot toward cyber resilience and identity-centric defenses like Zero Trust.

Cyber risk is often discussed in technical language, often in a way which is difficult to decipher the real business impact. CVSS scores, vulnerabilities, attack paths and threat actors all have their place but for many decision‑makers, this language doesn’t translate into real-world business outcomes. Small business leaders and non-technical executives need to understand what cyber risk means for revenue, reputation and operational continuity.

Modern managed service providers (MSPs) need more than disconnected tools to stay efficient and competitive. Growing MSPs and IT service providers are increasingly seeking unified remote monitoring and management (RMM) and professional services automation (PSA) solutions to support their expanding operations and streamline workflows.

On Shopify Plus, every part of the customer journey needs to feel effortless — and the login experience sits right at the front. When you’re running multiple Shopify Plus stores, catering to global shoppers, or managing a growing network of B2B customers, even small login roadblocks can escalate into bigger issues: customer drop-offs, abandoned carts, and frustrated buyers. Shopify's built-in login options work for simple stores, but Plus merchants often face more complex identity challenges.

Every organization knows that protecting sensitive data is important. But knowing you should protect data and actually having the people, processes, and technology in place to do it well are two very different things. Too often, data protection programs evolve reactively—driven by the latest regulatory deadline or the aftermath of a near-miss incident. The result is a patchwork of policies and tools that create a false sense of security without delivering true resilience.

As federal agencies face increasingly sophisticated cyber threats, securing high-impact systems and sensitive unclassified data has become a top priority. To support this need, Keeper Security has achieved FedRAMP Authorization at the High Impact Level for its Keeper Security Government Cloud (KSGC) platform, expanding its ability to protect the U.S. federal government’s most sensitive unclassified workloads.

In this session of the Strategic CISOs webinar series, Sravish Sridhar (CEO, TrustCloud) sat down with Myke Lyons (CISO, Cribl) and Jon Zayicek (Customer Security Assurance Leader, Cribl) to break down how Cribl built a customer trust program that helps buyers self-serve proof, reduces questionnaire drag, and gives security a clear line of sight to pipeline and ARR. Cribl has turned customer assurance into a revenue accelerant, and that posture has produced great results.

On a cold and windy day in March 1996, a group of 25 Marine Corps second lieutenants, accompanied by their instructors, participated in a communications field exercise at Fort A.P. Hill, Virginia. The objective was to provide training on installing, operating, and maintaining a tactical communications architecture while continuously relocating. The terrain at Fort A.P.

Pillar Security’s recent analysis of Docker’s Agentic AI assistant, Ask Gordon, offers an early glimpse into the security challenges organizations will face as AI systems begin operating inside the development stack. Their researchers discovered that a single poisoned line of Docker Hub metadata caused the agent to run privileged tool calls and quietly exfiltrate internal data.