AI/ML Security Assessment
Expert evaluation of artificial intelligence and machine learning systems security, from model development to deployment. Our assessment identifies vulnerabilities in AI/ML infrastructure, examines risks of data poisoning, adversarial attacks, and model manipulation while providing guidance for securing these advanced technologies.
In scope
- ML pipeline security review
- Training data integrity assessment
- Model vulnerability testing
- Adversarial attack simulation
- Model poisoning resistance evaluation
- Inference attack testing
- AI infrastructure security assessment
- Model governance review
You receive
- AI/ML security assessment report
- Vulnerability analysis
- Adversarial defense recommendations
- Security control framework
- Data poisoning protection strategy
- Model security architecture
- Secure AI/ML development practices
- Governance and compliance guidance
Tiers
Choose the depth.
Essential AI/ML Security Review
$42K
Security assessment of 1 AI system: model, data pipeline and hosting.
- ai systems
- 1
- One AI system
- Risk register
- Hardening plan
- — Adversarial testing of the model
Advanced AI/ML Security Program
$75K
Up to 3 AI systems, including adversarial testing of one of them.
- ai systems
- 3
- Up to three AI systems
- Adversarial testing of one system
- — Ongoing monitoring
Enterprise AI/ML Security Framework
$120K
Up to 8 AI systems with an AI security standard for the organization.
- ai systems
- 8
- Up to eight AI systems
- Organization-wide AI security standard
- — Portfolios above eight systems — scoped
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.
Related
Red Team Subscription
A standing offensive testing program in place of a once-a-year engagement. Each month our team runs a targeted assessment against an agreed part of your environment; each quarter a scenario-based attack tests how well your people and tooling detect and respond. The Premium tier adds two full red team engagements a year. Findings from every cycle feed one running improvement plan, so each round also checks whether the last round's fixes held. Targets, rules of engagement and testing windows are agreed at kickoff.
AI & Agentic Red Team
Offensive testing of LLMs and AI agents — prompt injection, jailbreaks, tool misuse, agent goal hijack, memory/context poisoning, model extraction, and agent identity abuse. Mapped to OWASP Top 10 for Agentic Applications, OWASP LLM Top 10, and MITRE ATLAS.
Purple Team Assessment Program
Collaborative security assessment combining red team attacks with blue team defense to improve detection and response capabilities in real-time.
Research
Latest from the blog
ciso-strategy · Sep 24, 2026
Brinqa-PlexTrac and Cribl-Radiant Deals Signal CTEM and SOC Platforms Are Absorbing Point Tools
Thirty-three cybersecurity M&A deals in August 2026, led by Brinqa-PlexTrac and Cribl-Radiant Security, show exposure management and SOC platforms swallowing offensive-security and AI-native automation tools.
risk-management · Sep 23, 2026
Three Linux Kernel Flaws Hit CISA's KEV List: A CISO Triage Playbook
CISA added three actively exploited Linux kernel CVEs to its KEV catalog with a 72-hour federal remediation window. Here is a step-by-step triage order for CISOs.
incident-response · Sep 22, 2026
The Revolut Breach Is a Case Study in Confusing Authentication With Authorization
Revolut disclosed customer data to attackers who spoofed a government agency's email domain for five months. The root cause was not weak email security but a workflow that treated a valid domain as proof of a valid request.
Start an engagement