Accepting new 2025 CodeWheel AI engagements for AI web, security, and commerce programs.

AI Security - Penetration Testing - Prompt Injection

AI Security Consulting for Startups

AI Security Testing protects your platform from threats traditional scanners miss. Whether you're a seed-stage startup, scaling small business, or an enterprise team piloting AI workloads, the work is led by a production engineer and solo AI Security Consultant specializing in Penetration Testing, Prompt Injection Audits, and RAG Security Implementations. You get senior engineering and AI Security Testing from the same person without agency markup.

We secure every layer of your AI platform: LLM behavior, Retrieval-Augmented Generation (RAG) pipelines, semantic search boundaries, agent tool permissions, and multi-tenant data isolation.

Need deeper detail on Penetration Testing , Prompt Injection Defense , or Secure RAG Implementation ? Those services plug into the same AI security playbook. Early-adopter pricing is available for founders who are ready to build the first public case studies.

Email matt@codewheel.ai

Honest stats

15 Years

Production engineering (including Tesla)

Solo Consultant

Direct access, no handoffs

AI + Security

RAG builds, prompt injection, pen testing

Early clients: Preferred rates for the first five launches.

Is this you?

You’re a fit if…

Security urgency

You need to pass a vendor review, SOC questionnaire, or investor security diligence within weeks—not quarters.

AI surface area

You ship RAG or agents that touch real data, and you want retrieval filters, semantic search safety, and tool guardrails locked before GA.

Full-loop delivery

You want findings, remediation code, and retests from the same person—no handoff to a separate team.

Anonymized examples

Stopped a prompt-injection chain that bypassed content policy; patched retrieval filters that allowed cross-tenant leakage; added confirmation/rollback workflow to an agent that could mutate billing data.

AI Security Services I Provide

Penetration Testing + AI Security
OWASP testing plus AI-specific attacks (Prompt Injection, RAG isolation, tool abuse). Includes prioritized findings, proof-of-concept payloads, and retests.
Prompt Injection & Guardrail Audits
Focused 1-2 week engagements covering adversarial prompts, context poisoning, tool validation, and output filtering for RAG/chat/agent features.
RAG Implementation & Hardening
Next.js + Supabase builds with ingestion pipelines, eval harnesses, pgvector hybrid search, and observability so testing has real telemetry.
Architecture & Advisory Sessions
One-off reviews or recurring advisory covering threat modeling, identity/billing integration, and practical roadmaps for lean teams.

Want to go deeper before we talk? Read the penetration testing guide , the prompt injection defense playbook , or download the AI security testing checklist .

Why security still matters

Top AI Security Threats for Startups

Prompt Injection & Jailbreaks

Inputs that override system prompts, leak credentials, or trigger unauthorized tool calls. Traditional scanners rarely cover it-manual testing is required.

RAG Data Leakage

Vector databases don't enforce tenant isolation by default. Attackers can pivot between customers unless filters, metadata, and ACLs are locked down.

Agent/Tool Abuse

Agents calling payment APIs, CRUD functions, or MCP servers can be coerced into destructive behavior if parameter validation and allowlists are weak.

Context Manipulation

Huge uploads, encoding tricks, or multi-turn prompts designed to exhaust context windows and bypass safety instructions.

Plain Old Web Vulns

Auth issues, misconfigured rate limits, exposed secrets, and CI/CD gaps still exist-especially when teams sprint to ship AI features.

I cover these threats in depth inside the AI penetration testing guide and prompt injection defense playbook .

No fake social proof

Trust signals you can verify

Verified Background

Check my LinkedIn. Four years at Tesla, agency work before that, and 15 years shipping production systems. No anonymous team-just me.

View LinkedIn Profile

First Clients Program

CodeWheel AI is new. Early clients get preferred early-adopter rates, direct influence on process, and priority access. I get honest feedback and the ability to document real case studies.

Talk about becoming an early client

Building in Public

Weekly blog posts + LinkedIn updates cover what I'm building, testing, or learning about AI security. No mystery. Judge me by the work.

Read the Blog

Process

My AI Security Testing Process

Every AI security consulting engagement follows the same playbook: kickoff to capture architecture, baseline AI security testing to light up obvious gaps, deep manual penetration testing for prompt injection, RAG leakage, and agent abuse, then remediation + retest. Findings are shared in real time so you're never waiting for a PDF.

Kickoff & Architecture Review
Share your architecture, environments, and priorities. We decide together if staging or production testing makes sense, set communication cadences, and schedule the work.
Baseline Testing + Instrumentation
Set up monitoring/logging if needed, run lightweight OWASP scans, map attack surfaces, and confirm access before deep manual testing begins.
Manual AI-Specific Testing
Prompt Injection playbooks, RAG isolation checks, agent/tool abuse attempts, and context manipulation attacks. Findings are shared as they happen-not just in a final PDF.
Report, Remediation, and Retest
Markdown + PDF report with impact, reproduction steps, and fixes written in your stack. We pair on patches if needed, then retest within 30 days.

Ready to see it in action?

Walk through threat modeling for your AI platform

See how I map attack surfaces, prioritize risks, and build remediation roadmaps in a 30-minute session tailored to your stack.

Email matt@codewheel.ai

Flexible Engagement Models

Engagement Models

We structure engagements to fit your stage. Each package bundles AI penetration testing, prompt injection coverage, and LLM security reporting so you can share results with investors or customers without hiring a full agency.

Prompt Injection Audit

1-2 Weeks

  • 200+ adversarial prompts
  • RAG isolation testing
  • Tool/agent abuse checks
  • Remediation guidance + retest

Penetration Test + AI Coverage

2-3 Weeks

  • OWASP Top 10 + AI-specific testing
  • Infrastructure & CI/CD review
  • Executive + technical reports
  • 30-day retest window

Platform Build or Hardening

3-8 Weeks

  • RAG Implementation or refactor
  • Identity/billing integration
  • Security Testing baked in
  • Early-adopter discount available

Advisory / Architecture Review

1 Week to Schedule

  • 60-minute working session
  • Threat modeling + next steps
  • Follow-up summary
  • Great for quick gut-checks

Honesty first

Common questions

Do you have client testimonials?

Not yet. CodeWheel AI is new. I lean on my LinkedIn recommendations and public technical content. Early clients get discounted pricing in exchange for honest feedback and the ability to publish future case studies.

How many AI platforms have you secured?

Across my career: dozens of production systems (Tesla, agencies, startups). Under the CodeWheel AI banner: building that portfolio now. If you need enterprise references today, I'm probably not the right fit.

Do you handle formal compliance audits?

I focus on Security Readiness and technical evidence. I build the guardrails and run the tests that auditors require, but I do not issue formal compliance certificates myself. If you need third-party attestations or certification paperwork, I can introduce you to partners once the product is ready.

What access do you need?

Role-based accounts in staging (or production if necessary), API keys, and architecture context. I never request raw production databases. Everything is covered by NDA.

Are we too early for security testing?

If you're handling customer data, building RAG/agent features, or planning a launch, it's the right time. Early-stage teams are my specialty-you get senior engineering without the agency markup.

Learn more

AI Security Resources & Guides

Prompt Injection Guide

Deep dive on how Prompt Injection works and how I test for it.

Read more

AI Security Checklist

Free checklist covering the exact controls I stand up on builds.

Read more

RAG Architecture Guide

How I design ingestion, retrieval, and eval harnesses before testing.

Read more

Ready for AI security consulting?

Share your AI platform architecture, RAG implementation, and launch timeline. I'll outline the AI security testing approach, penetration testing scope, and engagement models. If I'm not the right fit, I'll tell you immediately.

View engagement models

Contact

Email: matt@codewheel.ai

Phone: (650) 600-0498

Based in the Bay Area. Happy to meet virtually or in person if you're nearby.

Learn more about our approach in our complete penetration testing guide.

Serving companies across the San Francisco Bay Area, Silicon Valley, and remote teams worldwide.