AI & Agentic Security

What untrusted inputs reach your model, and what authority does its output have?

Most AI security failures collapse to that one question. Altaniche answers it for your systems, grounded in a real framework, not a vendor's assurance.

untrusted zone user input RAG / documents tool results tagged untrusted trust boundary MODEL proposes trusted zone EXECUTOR disposes authority in code real-world actions the model sits between zones, never inside one
Aligned to
The problem

AI security is being sold as a feature. It's an architecture problem.

Traditional security assumes a system only does what its code says. AI systems don't. They act on untrusted input as if it were instruction, and their outputs can carry real authority. A guardrail in a prompt is not a control. A vendor's assurance is not evidence.

Why it holds

Built on a real framework

The Altaniche AI Security Framework: 116 controls across 12 domains, purpose-built for how AI and agentic systems actually fail.

Posture you can see

This site runs zero backend, zero database, zero login. Minimal attack surface by design, the same discipline brought to your AI.

Senior, named, accountable

You work directly with the architect, not an account manager or a junior handed the engagement. Depth over headcount.

Who's behind it
A

A practice, not a platform.

Altaniche is led by a security architect with 20+ years building enterprise security at scale, including for Victorian state government, now focused entirely on AI and agentic systems.

20+ yrs enterprise security architecture · ISO 42001 Lead Auditor
The model proposes; the executor disposes.
Security lives in the architecture, not the prompt.
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Palette
Navy Brass