Three focused areas: LLM application security, mobile device forensics, and cryptocurrency investigation. Each handled with experienced, hands-on expertise and clear accountability from first scope to signed report. Project-based engagements with written deliverables.
Think like an attacker. Write like an expert witness. Ship like an engineer.
Forensic and adversarial work for the people who need it most, from a practice that can build the tool and break the system.
Secure Data Consortium is an independent cybersecurity practice based in Jacksonville, Florida. The practice combines over a decade building production systems across financial services, government, and security tooling with active adversarial research and digital forensics.
Most LLM-adjacent consulting comes from one of two directions: security generalists who don't ship code, or developers who don't think about security architecture. This practice is both: builder-architect expertise paired with CISSP-level security depth.
Every engagement is project-shaped, handled by experienced, hands-on expertise from start to finish, and delivered as a written report.
More About the Practice →Deliberately narrow. Each area rewards experienced, hands-on expertise that has actually built and broken the systems in question.
Custom LLM application builds, on-premises model deployment, RAG pipelines for regulated corpora, and adversarial testing, including EU AI Act adversarial-testing evidence and indirect prompt injection assessment.
Learn more →Consent-based Android and iOS forensic examination for family-law attorneys, domestic-violence organizations, and civil matters. Stalkerware detection. Deposition-grade written reports.
Learn more →Blockchain forensic tracing for scam victims, civil litigation, and attorneys pursuing recovery. Documented methodology, honest scope. Former Chainalysis engineer; FLETC co-instructor.
Learn more →Credentials & frameworks the work is grounded in
Experienced, hands-on attention on every engagement, from first scope to final report.
Production code and adversarial research together, a rare combination that LLM work demands.
Every engagement ends in a clear, defensible written report, built on CISSP-grade documentation discipline.
Defined scope, fixed timeline, fixed or capped fee. No open-ended retainers or staff-augmentation arrangements.
Public writeups are proof of work, the same methodology that goes into client engagements.
A 1,280-trial study of indirect prompt injection susceptibility across Llama 3.1 8B, Mistral 7B, Qwen 2.5 7B, and Qwen 2.5 Coder 7B. Key finding: temperature reduction is not a reliable defense; output-format constraint achieved 0/40 injection on the most-susceptible model tested.
An active research project applying self-hosted LLMs to network traffic and log analysis for detection of unauthorized data exfiltration from IoT and media devices, a detection layer that does not depend on cloud traffic analysis. Writeup planned once methodology is stable.
For prospective engagements in any practice area, send a note below or schedule a 30-minute scoping call.