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Supply Chain Security, in plain English.

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Industry Analysis

State of DevSecOps 2026: What Teams Actually Ship

A senior-engineer review of DevSecOps in 2026: what teams ship in production, which controls moved the needle, and where most programs still stall.

Mar 22, 20269 min read
AI Security

Griffin AI vs OpenAI Pricing: Security Workloads

Per-token pricing on the OpenAI API looks cheap on a single call and expensive on a year-long security workload. Griffin AI's pricing reflects the architecture.

Mar 21, 20262 min read
AI Security

Small Language Models: Security Use-Case Fit

Small language models aren't a worse version of large ones. For specific security workflows, they're the right tool — if you know which workflows.

Mar 21, 20262 min read
Open Source Security

Open Source Funding Crisis: What It Means for Your Tree

Critical infrastructure depends on unpaid maintainers, and burnout creates openings attackers exploit. xz-utils was the warning shot, not the exception.

Mar 21, 20267 min read
AI Security

Claude MCP Tool Poisoning Threat Model 2026

A senior engineer's threat model for Claude MCP tool poisoning in 2026, covering malicious servers, description hijacking, and the authorization patterns that actually help.

Mar 21, 20267 min read
Threat Intelligence

Developer Social Engineering Campaigns 2024-2025

State-aligned and financially motivated actors now target individual developers with bespoke social engineering. Here is the tradecraft and what engineering leaders must do.

Mar 21, 20268 min read
Incident Analysis

Hugging Face Token Exposure 2024 Analysis

Researchers found thousands of valid Hugging Face API tokens in public code and models. Analysis of the 2024 exposures and what they mean for ML supply chain.

Mar 21, 20268 min read
Industry Analysis

AWS re:Inforce 2026 Supply Chain Sessions: Field Notes

Field notes from AWS re:Inforce 2026 supply chain track: signing at scale, SBOM adoption, and the Inspector and ECR updates that actually matter.

Mar 20, 20265 min read
AI Security

Fine-Tune Drift Measured On Eval Sets

Fine-tuning to improve one task frequently regresses others. Without eval harnesses, the regressions ship. The measurable drift is larger than vendors admit.

Mar 20, 20262 min read
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