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Zero Trust at Scale: What Mature Implementations Actually Look Like
Zero trust architecture has been declared the future of enterprise security since John Kindervag published the original framework at Forrester in 2010. Sixteen years later, the industry has enough mature deployments to distinguish between organizations that have implemented zero trust and organizations that have rebranded their existing perimeter security as zero trust. The gap between those categories is large and consequential.
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Software Supply Chain Attacks: The Threat Vector That Infrastructure Is Not Built to Stop
The SolarWinds compromise in 2020 was treated as a wake-up call. The XZ Utils backdoor discovered in 2024 confirmed that the software supply chain attack vector had not been adequately addressed. The pattern in both cases is the same: rather than attacking the target organization directly, the attacker compromises a trusted third-party component in the target’s software supply chain and uses that compromise to reach hundreds or thousands of downstream organizations simultaneously.
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Ransomware Economics in 2026: Why the Market Keeps Growing Despite the Crackdowns
Law enforcement has disrupted more ransomware operations in the last two years than in the entire previous decade. LockBit’s infrastructure was seized and its leadership identified. BlackCat/ALPHV’s servers were taken down. Hive was dismantled. The FBI, Europol, and allied agencies have demonstrated that ransomware groups are not as operationally secure as they believed, and that international cooperation on cybercrime enforcement has reached a level of effectiveness that would have seemed optimistic five years ago.
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Platform Engineering and the Observability Stack: Why Internal Developer Platforms Are the New Competitive Infrastructure
The internal developer platform — IDP — has moved from an engineering best practice debated at KubeCon to a C-suite priority line item at technology-forward companies. The shift is driven by a concrete productivity problem: as software systems have grown more distributed and complex, the cognitive overhead of developing, deploying, and operating services has grown to the point where it materially reduces engineering output. Platform engineering is the organizational response to that overhead. Observability is the discipline that makes it measurable.
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IT Support in the Agentic Era: What Help Desks Look Like When AI Does the Tickets
The IT help desk is one of the first enterprise functions to encounter AI automation at scale — not because it was chosen as a pilot, but because the ticket-driven, text-heavy, pattern-repetitive nature of IT support is almost perfectly matched to what large language models do well. The consequences of that alignment are already visible in headcount trends, escalation rates, and the changing skill profile of IT support professionals.
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