Black Ledger
AI Security Testing
Veteran Owned Small Business

AI
Red Team.

Offensive security testing for LLMs and AI-powered systems and applications.

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Capabilities
AI Red Team Services
Three engagement types built around how real adversaries attack AI systems. Each is scoped to your environment, executed by a senior practitioner, and delivered with findings your team can act on.
AI Penetration Test
Structured, point-in-time adversarial assessment of your deployed AI systems. We systematically test every attack vector — prompt injection, jailbreaking, guardrail bypass, RAG exploitation, system prompt extraction, tool abuse, and data exfiltration — and deliver a full written report with risk-scored findings and remediation guidance.
Point-in-Time Assessment →
AI Attack Path Mapping
Beyond individual vulnerabilities — we map how an adversary chains weaknesses together across your AI deployment to reach high-value objectives. Understand the full blast radius of your AI attack surface and which paths represent the greatest risk to your business.
Chained Vulnerability Analysis →
AI Red Team Operation
Full adversarial simulation built around your specific threat profile. Goal-based, operator-driven, no automated scanning. We emulate real threat actors targeting your AI systems end-to-end — from initial reconnaissance through objective achievement — and deliver executive and technical reporting with a complete attack narrative.
Full Adversarial Simulation →
The Advantage
Boutique Expertise.
No Enterprise Markup.
Large security firms charge enterprise rates and hand your engagement to a rotating cast of junior analysts you will never meet. You pay for their overhead, their sales team, and their brand name.

Black Ledger operates differently. When you hire us, the person who scopes your engagement is the same operator who executes it, writes the report, and walks your team through remediation. You build a direct, trusted relationship with a senior practitioner who knows your environment, your threat profile, and your AI attack surface.

No account managers. No handoffs. No inflated invoices. Just experienced AI security work delivered at a price point that reflects what the work actually costs — not what a corporate billing department decides you can afford.
Targeted Assessment
$2,000 – $5,000
1 – 2 weeks
Single-scope AI security assessment: prompt injection, jailbreaking, guardrail bypass, RAG exploitation, or system prompt extraction. Full written report with risk-scored findings and remediation guidance.
Industry average: $8,000 – $20,000
Comprehensive Assessment
$5,000 – $10,000
2 – 4 weeks
Full-coverage adversarial assessment across all attack vectors — injection, jailbreaking, RAG exploitation, tool abuse, data exfiltration, and agentic workflow attacks. Executive and technical reporting with prioritized remediation.
Industry average: $15,000 – $40,000
Continuous Red Team
Custom Scoped
Ongoing
Ongoing adversarial testing as your AI systems evolve. New features get tested before deployment, findings are tracked over time, and your team gets a practitioner who stays current on the latest attack techniques.
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Engagement Lifecycle
How We Operate
Every engagement follows a structured methodology. From initial scoping through remediation validation, we operate with the same discipline we brought to special operations.
01
Scoping & Threat Modeling
Define objectives, rules of engagement, target AI systems, and threat profile. We align testing to your actual risk landscape — not a generic checklist.
02
Reconnaissance
Model profiling, system prompt inference, tool and data source mapping, and attack surface analysis. We build the full picture before execution begins.
03
Adversarial Execution
Systematic offensive testing across all in-scope vectors. Real-world attack techniques executed within agreed rules of engagement — nothing automated, everything documented.
04
Reporting & Remediation
Risk-scored findings with reproducible attack chains, proof-of-concept demonstrations, and specific remediation guidance for both executive and technical audiences.
Intelligence
Dark Dossier
Weekly research on AI attack surfaces, adversary tradecraft, and LLM security. Written by a practitioner who tests these systems for a living — not a content team.
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AI Threats
The Voice on the Line Is Not Human
AI-powered vishing attacks surged 442% in 2024. Voice cloning kits cost five dollars. Inside the emerging threat landscape that most organizations are not prepared for.
Attack Surface
Indirect Injection: The Attack Vector Nobody Is Patching
When the threat doesn’t come from the user — it comes from the data your model trusts. How indirect prompt injection through RAG systems is becoming the most exploitable vector in production AI.
Tradecraft
Breaking the Machine: LLM Red Teaming
A five-phase offensive methodology for testing large language models. From reconnaissance through data exfiltration, how practitioners should approach the AI attack surface.
Engage
Ready to Test Your AI Systems?
The only way to know if your AI is secure is to attack it. Let us find what an adversary would find — before they do.
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