AI Security editorial
AI Caramba — landing
Short reads on AI Security — foundations primers, situational self-awareness, and where AI meets data paths. Govern, protect, and manage as a reading frame. English primary.
When models decide how to work: Self-awareness, resources, and the limits of the frontier
Frontier models increasingly choose how they work — self-do, fan-out, rewrite standards. Limited situational awareness makes that a control problem, not a feature footnote.
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AI Foundations · AI × Data Security
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What self-awareness means for multi-engine setups and control planes — and why T3 Code suddenly makes sense
Multi-engine means heterogeneous models as tools. A control plane holds threads, approvals, and diffs — T3 Code is one verified example.
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What “AI Security” actually means (and what it does not)
AI Security is how models, tools, and data paths fail — see, do, remember — not a vendor checklist or suite pitch.
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Models, tools, and agents: three layers readers mix up
A model answers. A tool reaches outward. An agent sequences both. Name the layer before you argue about controls.
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Prompts are not policy: where intent stops and control starts
A prompt states intent. Policy is what systems enforce when intent fails — AuthZ, DLP, approvals, audit.
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Training data, inference data, and logs: three different risks
What entered the model is not what enters a session, and neither is what persists after. Controls differ.
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When an AI tool becomes a data path
The moment an assistant can read mail, files, or tickets, it is no longer only a model. It is a data path with a blast radius.
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Putting business data into a prompt: a practical risk checklist
A prompt is a shipping label. Before you paste the spreadsheet, know what you are sending, who can see the transit, and what outlives the answer.
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Retrieval and RAG: useful, leaky if unbounded
Retrieval makes answers better by fetching context. Unbounded retrieval makes the model a search engine over everything it should never have seen.
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Agents that can act: blast radius before autonomy theater
An agent that sequences tools is a permission graph with a loop. Map blast radius before you celebrate autonomy.
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AI Security as a reading path: foundations → data → intersection
AI Security is not a pile of posts. It is a path: how systems fail, what data is at stake, and where the two meet.