---
title: "Custom AI for the CISO"
description: "AI security posture is the union of adversarial robustness, data-leakage prevention, supply-chain visibility, and an evidence chain your SOC team can pull during an incident. Off-the-shelf AI ships th"
url: https://impetora.com/for/ciso
role: "Chief Information Security Officer"
audience: "Chief Information Security Officer"
trace_spine: "Trust"
author: Impetora
---

# Custom AI for the CISO

> Audience: Chief Information Security Officer. TRACE spine: Trust.

AI security posture is the union of adversarial robustness, data-leakage prevention, supply-chain visibility, and an evidence chain your SOC team can pull during an incident. Off-the-shelf AI ships the model. Impetora ships the controls around the model. Every system is mapped to the OWASP Top 10 for LLM applications and the NIST AI Risk Management Framework before it goes near production traffic.

## What CISOs actually care about

### Prompt injection

Attacker hides instructions inside a document, email, or tool response. Output filtering and instruction isolation are not optional.

### Data exfiltration through the model

Models can leak training data, retrieved context, or system prompts through crafted requests. Retrieval and output layers must make exfiltration paths observable and bounded.

### Supply-chain visibility

Foundation-model providers, vector databases, embedding services, observability vendors. Sub-processor list defensible under contract and visible to SOC.

### Evidence chain for incident response

SOC needs the prompt, retrieved context, model version, and response, time-stamped and immutable.

### Identity and access control

AI inference must respect the same access rules as the underlying data.

### Model updates and regression

A foundation-model upgrade can change behaviour overnight. Regression suite gates promotion.

## TRACE pillar focus

For CISOs, the spine is **Trust**. See https://impetora.com/methodology for the full TRACE framework.

## Use cases

### Internal knowledge AI

Grounded Q&A with permission-scoped retrieval, output filtering, audit-grade logging.

### Document processing

Structured extraction with citation chain. Untrusted input parsed in instruction-isolated pipeline.

### Customer support automation

Resolution drafts with output filtering and refusal rules tuned to your policy.

### Decision support

Recommendations replayable against the exact prompt, retrieval, and model version that produced them.

## What CISOs need from a partner, and what we ship

### Written threat model

Attack surface, abuse cases, abuse impact, mitigations. Delivered before Build.

### OWASP LLM Top 10 control mapping

Each of the ten categories mapped to specific controls in the build.

### NIST AI RMF alignment

GOVERN, MAP, MEASURE, MANAGE applied across the engagement.

### Red-teaming pipeline

Adversarial test suite run before launch and on every model upgrade.

### SOC integration

Audit logs in your SIEM's native format. Alerting on prompt-injection signatures, anomalous tool use.

### Sub-processor disclosure

Every third-party touching inference, retrieval, storage, with category, residency, legal basis.

## CISO questions, answered

### How do you handle prompt injection?

Every input is treated as untrusted. Retrieved documents and tool responses parsed in an isolated context layer. Output filtered against deny-list, policy classifier, and structured-output schema. Red-teamed before launch using OWASP corpus plus client-specific abuse cases. Mapped to OWASP LLM01.

### What happens if a model leaks training data or retrieved context?

Zero-retention and no-training contracts with foundation-model providers. EU residency by default. Permission-scoped retrieval and output filtering bound exfiltration. Audit log captures retrieved chunks, prompt, and response for forensics.

### Do you provide evidence for our SOC team?

Every inference call writes an immutable record (input, retrieved context, model version, response, downstream action) in your SIEM's ingestion format (Splunk, Sentinel, OTLP).

### How do you handle the supply chain?

Every third-party listed in the sub-processor table delivered with DPA, with data category, legal basis, residency posture. Notified under contract when list changes.

### How do you gate foundation-model upgrades?

Through the evaluation harness and red-team suite. Failed regression blocks promotion. Shadow-mode comparison runs the new model alongside current with output logged but not actioned.

## Contact

Email: info@ainora.lt
Discovery: https://impetora.com/for/ciso#discovery-call