BetweenPrompt

Consulting

Security expertise,
when you need it most.

Tooling solves scale. Consulting solves complexity. When your AI system needs a human expert who has seen how these systems fail in production — that is what we do.

01

Architecture Assessment

A systematic review of your AI system design against current adversarial threat models. We map your data flows, model integrations, trust boundaries, and prompt surfaces to identify where attackers will find leverage.

Ideal for

Teams designing new AI systems or adding LLM capabilities to existing products.

Deliverables
Threat model specific to your AI stack
Risk-ranked architecture recommendations
Trust boundary analysis
Prompt surface inventory
Alignment to NIST AI RMF Govern & Map functions
02

Security Review

Hands-on review of your existing LLM integrations, RAG pipelines, agent architectures, and AI-adjacent code. We combine static analysis, adversarial testing, and configuration review to surface what automated tools miss.

Ideal for

Mature AI products preparing for a security audit, SOC 2 review, or enterprise customer requirements.

Deliverables
Finding report with CVSS scoring and OWASP mapping
RAG retrieval manipulation analysis
Agent loop and tool call security review
Secrets and credential exposure audit
Prioritized remediation roadmap
03

Product Building

Security is most effective when designed in — not added at the end. We embed as part of your team to bring AI security thinking into every product decision, from architecture to deployment to monitoring.

Ideal for

Startups and scale-ups building AI products who want security embedded without hiring a full-time team.

Deliverables
Security-first architecture and design guidance
Secure prompt engineering patterns
CI/CD security pipeline setup
Developer security training (AI-specific)
Ongoing advisory relationship

How We Work

No theater. Just work.

01

Scoping Call

30 minutes. We understand your stack, concerns, and timeline. No NDAs required to start.

02

Assessment

Hands-on technical work — architecture review, code analysis, adversarial testing. We do the work, not a questionnaire.

03

Findings Report

Written findings with severity, exploitability, and remediation guidance. Readable by engineers and executives.

04

Remediation Support

We stay engaged through the fix phase. Available to review patches, answer questions, and validate remediations.

Why BetweenPrompt

We speak both languages.

Most security consultants understand web apps. Most AI teams understand models. Very few understand both well enough to find where they intersect adversarially.

Our team has backgrounds spanning offensive security research, ML systems engineering, and enterprise AppSec. We have seen how these systems fail in production — not just in theory.

Offensive Security
Red team & vulnerability research background
ML Systems
Deep expertise in LLM architecture and pipelines
AppSec
Enterprise SDLC security at scale
Compliance
NIST, SOC 2, ISO/IEC 42001 alignment

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