Security analysis, threat research, and strategic intelligence reports. Expert coverage on cloud security, DevSecOps, and emerging threats.
Expert Security Intelligence
Fresh analysis from every desk, ordered for readers who want the signal before the noise settles.
Total reports
18
The most effective security controls are not bolted onto software after it ships—they are woven into the fabric of how teams build, test, and deploy.
Every modern application is a collection of APIs, and every API is an attack surface. Securing them requires new thinking about authentication, authorization, and the boundaries between services.
When every device, user, and workload can be anywhere, traditional network security collapses. The future belongs to architectures that verify everything and assume nothing.
Machine learning is finally delivering on its promise in security operations—but the real revolution is not better detection. It is systems that can investigate, prioritize, and respond without human intervention.
Large language models have made sophisticated cyberattacks accessible to actors with minimal expertise. Nation-states are automating reconnaissance. Cybercriminals are generating convincing phishing at scale. The barrier to entry has collapsed.
Annual penetration tests are a checkbox exercise; they prove a security program exists, not that it works. Purple teaming—where red and blue teams operate together—reveals where detection and response actually fail.
Intelligence is not information. Raw indicators of compromise have limited value; contextualized understanding of adversary motivations, capabilities, and targeting patterns enables organizations to hunt proactively rather than react to breaches.
When attackers operate at machine speed and dwell times shrink to hours, forensic investigation must evolve from post-breach archaeology to real-time evidence preservation and analysis
Eighty percent of breaches involve credential abuse. As perimeters dissolve and workloads go cloud-native, identity has become the only security control that travels with users, devices, and code wherever they go.
If your security strategy assumes you won't get hit by ransomware, you don't have a strategy—you have a hope. True resilience is measured in hours to recover, not dollars spent on prevention.
SolarWinds, Log4j, and XZ Utils proved that your security depends on software you did not write, from vendors you may not know, built by people you will never meet. Supply chain security is no longer optional.
GDPR, CCPA, HIPAA, and emerging frameworks are converging on a common truth: privacy is not a legal checkbox. It is a technical discipline that builds customer trust and enables data-driven innovation.
Operational technology was designed for reliability, not resilience against cyberattack. As IT and OT networks converge, the air gap that once protected industrial systems is disappearing—and security teams must adapt or face consequences measured in physical safety.
Email remains the #1 attack vector because it targets humans, not technology. Defending it requires technical controls, yes—but also organizational resilience that recognizes phishing as a permanent condition, not a problem to solve.
Smartphones hold corporate data, access enterprise applications, and authenticate users to critical systems. They are also personally owned, frequently lost, and covered in fingerprints. Mobile security requires accepting this contradiction and building defenses anyway.
Cybersecurity leaders have struggled for years to communicate risk in business terms. Risk quantification methods like FAIR are finally making it possible—to talk about probability and impact in numbers that finance, operations, and board members can act on.
Quantum-safe cryptography isn't optional—it's a strategic requirement for sensitive data that must remain confidential for decades. Practical migration strategies balance risk, performance, and interoperability.
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