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Insights

Insights

Engineering perspective on AI security, LLMOps and defensive alignment - practical analysis from the team that builds and defends these systems in production.

Why we publish

Every article here comes out of work our engineers and security team actually did: an assessment, a build, an incident review, a question a client asked that deserved a longer answer than a meeting allows. We write for the practitioner who has to implement the recommendation, not for search rankings, which is why each piece stays risk-by-risk or layer-by-layer rather than staying at the level of a press release.

There is no fixed publishing schedule. A new article goes up when there is a genuinely useful technical angle to share, not on a content calendar, so the archive stays small and dense rather than padded with repeated topics.

AI Security LLMOps Guardrails & Alignment OWASP Risk AI Governance
Analysts reviewing AI security and LLMOps dashboards
3Engineering deep-dives

Latest articles

Security, LLMOps and AI governance analysis written by the people who build and defend these systems.

AI Security

Article · 9 min read

The OWASP Top 10 for LLM Applications (2025): an enterprise defense playbook

Published February 18, 2026

A practical, risk-by-risk walkthrough for security teams: how each failure mode shows up in production, how to detect it, and how to mitigate it.

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LLMOps

Article · 6 min read

Running LLMs on-premises: a reference architecture for regulated organizations

Published May 6, 2026

Hardware sizing, the serving layer, the gateway, RAG, observability, security zones and a safe air-gap update process.

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Guardrails & Alignment

Article · 6 min read

AI guardrails and defensive alignment: what actually works in production

Published August 21, 2026

A layered defense model from policy through runtime monitoring, the evaluation metrics that matter, and the trade-offs leaders should expect.

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What you’ll find in every article

Field-tested technical depth

Detection signals, mitigations and architecture decisions pulled from real assessments and builds, not a summary of someone else's whitepaper.

A structure you can scan

A linked table of contents, numbered risks or architecture layers, and a sources section, so a busy reader can jump straight to the part they need.

No vendor pitch

Frameworks and trade-offs explained on their own terms first. Where our services are relevant, they are linked at the end, not woven into the analysis.

Let’s engineer what’s next.

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