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 ProfileAI Security - Penetration Testing - Prompt Injection
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.
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?
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.
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
Inputs that override system prompts, leak credentials, or trigger unauthorized tool calls. Traditional scanners rarely cover it-manual testing is required.
Vector databases don't enforce tenant isolation by default. Attackers can pivot between customers unless filters, metadata, and ACLs are locked down.
Agents calling payment APIs, CRUD functions, or MCP servers can be coerced into destructive behavior if parameter validation and allowlists are weak.
Huge uploads, encoding tricks, or multi-turn prompts designed to exhaust context windows and bypass safety instructions.
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
Check my LinkedIn. Four years at Tesla, agency work before that, and 15 years shipping production systems. No anonymous team-just me.
View LinkedIn ProfileCodeWheel 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 clientWeekly blog posts + LinkedIn updates cover what I'm building, testing, or learning about AI security. No mystery. Judge me by the work.
Read the BlogProcess
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.
Ready to see it in action?
See how I map attack surfaces, prioritize risks, and build remediation roadmaps in a 30-minute session tailored to your stack.
Flexible 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
Penetration Test + AI Coverage
2-3 Weeks
Platform Build or Hardening
3-8 Weeks
Advisory / Architecture Review
1 Week to Schedule
Honesty first
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.
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.
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.
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.
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
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.
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.