Generative AI Security Assessment
Comprehensive security assessment for organizations implementing or developing generative AI systems. Our specialized evaluation examines unique security risks of large language models, generative image systems, and other AI tools, including prompt injection vulnerabilities, training data poisoning, model security, and output filtering controls to ensure the safe deployment of this transformative technology.
In scope
- Prompt injection vulnerability testing
- AI model security assessment
- Training data security evaluation
- Output filtering and safety controls
- Adversarial attack simulation
- Model hallucination analysis
- Intellectual property protection
- GenAI integration security
- Authentication and access controls
- AI governance framework review
You receive
- GenAI security assessment report
- Prompt injection vulnerability findings
- Model security recommendations
- Training data protection framework
- Output safety control enhancements
- Deployment security architecture
- Integration security guidelines
- GenAI security governance recommendations
- Risk mitigation roadmap
Tiers
Choose the depth.
Essential GenAI Security Assessment
$48K
Security assessment of up to 2 GenAI applications built on third-party models (e.g. a chatbot and a copilot). Prompt injection and output-filter testing, access control review, integration review and a governance gap check.
- ai systems
- 2
- Prompt injection and jailbreak testing against up to 2 applications
- Output filtering and safety control review
- Authentication and access control review of the GenAI integration
- AI governance policy gap check
- Findings report and risk mitigation roadmap
- — RAG pipeline and agent/tool-use layer testing
- — Training data and fine-tuning pipeline review
- — Assessment of self-hosted or custom-trained models
- — Retest after remediation
Advanced GenAI Security Program
$85K
Assessment of up to 5 GenAI systems across application, RAG and agent layers. Custom prompt injection test cases per system, adversarial attack simulation, hallucination analysis, training/fine-tuning data handling review, and one retest.
- ai systems
- 5
- Everything in the Essential tier, for up to 5 systems
- RAG data store and agent/tool-use abuse testing
- Custom prompt injection test suite per system
- Training and fine-tuning data security review
- Deployment security architecture recommendations
- One retest within 30 days of remediation
- — Security architecture for custom-trained foundation models
- — Model theft / IP extraction testing of self-hosted models
- — Organization-wide GenAI governance framework build-out
Enterprise GenAI Security Framework
$135K
For organizations training or hosting their own models: up to 10 GenAI systems, model supply chain and training data poisoning review, model extraction/IP protection testing, model security architecture, and a written GenAI governance framework.
- ai systems
- 10
- Everything in the Advanced tier, for up to 10 systems
- Training data poisoning and model supply chain review
- Model extraction and intellectual property protection testing
- Model hosting and deployment security architecture
- GenAI security governance framework with roles and review gates
- Executive briefing and one retest
- — Ongoing / continuous AI red teaming after the engagement
- — Remediation engineering or guardrail implementation
- — More than 10 systems (scoped separately)
Members: engagement coupons from the CISO Marketplace coupon book apply to services. There is no blanket discount.
What's inside this engagement
Phase by phase.
How a ai red teaming & ai security testing engagement runs, what happens in each phase and what you see. Exact scope, tier and timeline are fixed in your proposal and SOW.
01Architecture & threat model
Models, system prompts, retrieval sources, tools/MCP servers, memory and permissions mapped as trust boundaries.
You see · Architecture diagram and access to a test tenant.
02Attack-surface enumeration
Every input path (user, documents, web, tool results) and every action the agent can take is catalogued.
You see · Confirmation of in-scope tools and data.
03Adversarial testing
Prompt injection (direct and indirect), jailbreaks, data exfiltration, excessive agency and tool abuse, mapped to the OWASP LLM Top 10 and MITRE ATLAS.
You see · Escalation of anything exploitable in production.
04Chaining with classic weaknesses
AI findings combined with application and cloud weaknesses to show real impact.
You see · The full attack chain.
05Reporting & hardening
Reproducible transcripts, impact, and fixes at the right layer: prompt, retrieval, tool permissions or output handling.
You see · A report your AI and platform teams can act on.
Commercials
From first call to final report.
- 01
Scoping call
A practitioner, not a salesperson, walks through targets, constraints and what a good outcome looks like for you.
- 02
Proposal & rules of engagement
A fixed-scope proposal with tier, price and deliverables. Rules of engagement, contacts and out-of-bounds systems are agreed in writing.
- 03
Sign, then start
MSA and SOW are signed electronically and the deposit is paid. Only then does testing begin.
- 04
Execution
Testing runs to the agreed plan. Critical findings are escalated as they are found; you don't wait for the report.
- 05
Report & debrief
An executive summary plus technical findings with evidence, reproduction steps and fixes, walked through with your team.
- 06
Retest
Where the tier includes it, we verify your fixes and reissue the report, so auditors and customers see the issues closed.
Timelines are set per engagement in the SOW.
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