AI Security Assessment

Secure Your AI Before It Becomes Your Biggest Exposure

Independent assessment of your AI and GenAI systems: models, agents, prompts, data pipelines and integrations, against real adversarial techniques and emerging AI governance requirements.

AI and GenAI use case discovery • Adversarial testing to OWASP LLM Top 10 • Prompt injection and jailbreak testing • Guardrail and content filter bypass • Sensitive data and system prompt disclosure • Agentic AI and excessive agency review • RAG pipeline and vector store security • AI governance gap analysis

About

AI Security Assessment

How HexaPrime help you with AI Security Assessment!

Our AI Security Assessment covers the complete AI stack rather than the model alone. We inventory your AI use cases, and map the data, models, agents, plugins, tools and integrations behind each one. We then perform adversarial testing aligned to the OWASP Top 10 for LLM Applications and MITRE ATLAS: prompt injection (direct and indirect), jailbreak and guardrail bypass, sensitive data and system prompt disclosure, excessive agency and unsafe tool invocation, insecure output handling, RAG and training data poisoning, model and embedding extraction, and denial-of-wallet abuse. In parallel we review architecture and governance: identity and access to models and vector stores, data classification and residency, logging and monitoring of AI interactions, human oversight, model lifecycle controls, third-party AI vendor risk and alignment to recognised AI governance frameworks.

Key

Features

AI and GenAI use case discovery
Adversarial testing aligned to OWASP Top 10 for LLM Applications and MITRE ATLAS
Direct and indirect prompt injection and jailbreak testing
Guardrail, content filter and safety control bypass testing
Sensitive data, system prompt and training data disclosure testing
Agentic AI review: excessive agency, tool and plugin abuse, authorisation boundaries
RAG pipeline and vector store security, including poisoning and access-control review
AI infrastructure and API security review
AI governance gap analysis against recognised frameworks and regulatory expectations
Monitoring and detection recommendations for AI-specific abuse
Risk-rated findings with practical, engineering-ready remediation guidance

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Workflow

AI Security Assessment — Layers and Threats Across the AI Stack

<div class="sd" style="--n:6"> <div class="sd_row is-arrows"> <div class="sd_step"><div class="sd_card is-left"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa2eedf33f7907910fa03ab_hxp-ca-01-discover.png" alt="" loading="lazy"><h3 class="sd_t">Discover</h3><p class="sd_d">AI use case inventory</p><ul class="sd_b"><li>AI use case inventory</li><li>Data flow mapping</li></ul></div></div> <div class="sd_step"><div class="sd_card is-left"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa2f274add870a52305172c_hxp-aisa-02-threat.png" alt="" loading="lazy"><h3 class="sd_t">Threat Model</h3><p class="sd_d">Attack vectors</p><ul class="sd_b"><li>Per-use-case threat modeling</li><li>OWASP LLM Top 10</li><li>MITRE ATLAS</li></ul></div></div> <div class="sd_step"><div class="sd_card is-left"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa2f274add870a52305177e_hxp-aisa-03-test.png" alt="" loading="lazy"><h3 class="sd_t">Test</h3><p class="sd_d">Testing vectors</p><ul class="sd_b"><li>Adversarial prompt testing</li><li>Agent testing</li><li>RAG testing</li><li>API testing</li><li>Infrastructure testing</li></ul></div></div> <div class="sd_step"><div class="sd_card is-left"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa2f275a997cb45d250c2eb_hxp-aisa-04-review.png" alt="" loading="lazy"><h3 class="sd_t">Review</h3><p class="sd_d">Control mechanism</p><ul class="sd_b"><li>Architecture</li><li>Identity</li><li>Data residency</li><li>Logging</li><li>Human oversight controls</li></ul></div></div> <div class="sd_step"><div class="sd_card is-left"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa2f275c688303c772f9407_hxp-aisa-05-rate.png" alt="" loading="lazy"><h3 class="sd_t">Rate & Report</h3><p class="sd_d">Digital evidence</p><ul class="sd_b"><li>Risk-rated findings</li><li>Reproducible evidence</li></ul></div></div> <div class="sd_step"><div class="sd_card is-left"><img class="sd_ico" style="object-fit:contain" src="https://cdn.prod.website-files.com/6a8df6c4166ed6e5454a4f94/6aa2f275ed89d041d736d3b4_hxp-aisa-06-roadmap.png" alt="" loading="lazy"><h3 class="sd_t">Roadmap & Retest</h3><p class="sd_d">Secure AI adoption pathway</p><ul class="sd_b"><li>Guardrail hardening plan</li><li>Secure AI adoption roadmap</li><li>Verification retest</li></ul></div></div> </div> </div>

Service Deliverables

Everything the service delivers. Built around measurable outcomes.

AI Inventory & Threat Model

AI use case and asset inventory
Per-use-case AI threat model mapped to OWASP LLM Top 10 and MITRE ATLAS

Adversarial Testing Report

Reproducible prompts, payloads and evidence
Architecture and control review findings across model, data, agent and infrastructure layers

AI Risk Register

AI-specific risks with severity, likelihood and business impact
Guardrail and control hardening recommendations, engineering-ready

Monitoring & Adoption Roadmap

Monitoring and detection use cases for AI abuse
Secure AI adoption roadmap (immediate / 90-day / strategic)

Executive Briefing & Retest

Executive briefing for leadership and AI governance forums
Verification retest of remediated findings

See what AI Security Assessment Services delivers and how it fits your environment.

Talk to an AI Security Assessment Expert

FAQs

Frequently Asked Questions

We only use third-party AI services — do we still need an assessment?

Yes, and often more so. Your risk sits in how those services are configured, what data they can access, which identities and tools they are connected to, and how their outputs are used. All of that is yours to secure, regardless of who hosts the model.

Is this a penetration test or a governance review?

Both, deliberately. AI risk rarely comes from the model alone — it comes from the combination of technical weaknesses and missing oversight. The assessment covers adversarial testing and the governance controls around it.

What is prompt injection and why does it matter?

Prompt injection is when attacker-controlled text, in a document, web page, email or ticket, causes the AI system to ignore its instructions and act on the attacker's. Where an AI agent can read internal data or call APIs, this becomes a direct data-exfiltration and unauthorised-action risk.

Will testing affect our production AI service or costs?

Testing volumes, rate limits and windows are agreed in advance, and cost-abuse testing is performed within strict authorised limits. Where possible we test in a staging environment mirroring production configuration.

Does the assessment help with AI regulatory and governance requirements?

Yes. The governance gap analysis maps findings to recognised AI governance frameworks and regulatory expectations, producing evidence you can present to auditors and AI governance committees.

Secure Your AI Before It Becomes Your Biggest Exposure

How HexaPrime help you with AI Security Assessment!

How AI Security Assessment Works!