Prompt Injection - RAG Security - Agent Testing

Stop prompt injection from hijacking your AI stack

Security testing for RAG, agents, and LLM workflows-delivered by a solo consultant.

Security testing that finds how attackers hijack your LLM's instructions before launch. With 15 years shipping production systems and still building the same RAG and agent platforms put under test, every assessment remains manual, adapts in real time, and surfaces the context automated scanners miss.

You get direct access to the person doing the work, real-time findings in Slack/email, and remediation guidance grounded in production engineering-not agency handoffs.

Need comprehensive Penetration Testing or broader AI Security Consulting ? I cover those too.

Email matt@codewheel.ai

Honest stats

15 Years

Production engineering across SaaS & Tesla

Solo Founder

Work directly with me-not an agency pod

Early-Client Discount

20% off for first five projects

Early client? Mention it on the call and I'll apply preferred early-adopter rates.

How I test

How I test: methodology, coverage & tools

One playbook covers everything from scoping to retests: manual prompt injection chains, RAG poisoning, agent/tool abuse, replay harnesses, and remediation pairing.

Scope & attack surface mapping

Walk the product, inventory prompts, review tool catalogs, and decide how aggressive testing should be so I can focus on the riskiest flows first.

Manual prompt injection chains

200+ adversarial payloads, multi-turn conversations, and delimiter-bypass tricks executed manually so responses can be adapted in real time.

RAG security & document poisoning

Replay harnesses push poisoned PDFs/CSV/markdown into ingestion pipelines, validate metadata filters, and confirm tenant binding on retrieval.

Agent security & tool abuse

Attack MCP servers, LangChain tools, and custom function calls to coerce parameter changes, escalate permissions, or trigger unintended actions.

Automated validation harnesses

Lightweight scripts replay successful attacks, fuzz guardrails, and plug into CI so you can keep testing after the engagement.

Report & remediation pairing

Findings ship in Markdown + PDF with impact, repro, and fixes. I stick around for retests and pairing sessions until the mitigations hold.

Guardrails validation harnesses

Structured output validators (Guardrails AI-style) keep prompts, tools, and agents bound to approved schemas and get wired into your eval suite.

Attack examples & prevention

Attack examples & prevention checklists

A sample of the payloads and defenses that show up in every engagement. The specifics stay private, but the categories match what real attackers abuse.

Prompt Injection Attack Examples

System prompt override payloads that exfiltrate API keys or user data.
Indirect prompt injection from poisoned PDF/CSV uploads in RAG workflows that turn into prompt injection vulnerabilities.
Agent tool abuse where function calling instructions leak secrets.
Multi-turn social-engineering prompts that bypass output filters.

Prompt Injection Attack Prevention

Context-aware allowlists + deny lists enforced inside model middleware.
RAG metadata filters, document hashing, and tenant binding.
Agent policy enforcement, tool parameter validation, and logging.
Continuous retesting via adversarial replay suites and CI pipelines.

Want a deeper breakdown? Read prompt injection vs. jailbreaking to understand how the two differ and why true prompt injection defense requires manual testing.

Deliverables & reports

You leave with evidence investors, auditors, and engineers can use: human-readable writeups, payloads, repro steps, a retest plan, and the PDF report stakeholders expect.

Custom adversarial payload catalog mapped to your prompts, tools, and RAG stack.
Findings shared live in Slack/email so fixes can start immediately.
Markdown + PDF report with reproduction steps, payloads, and fixes.
30-day retest window to validate mitigations.
Optional pairing sessions to harden guardrails or implement playbooks.

Engagement models & pricing

Pick the depth you need-from fast threat-modeling sessions to full assessments bundled with penetration testing or platform builds.

Prompt Injection Testing Audit

Comprehensive LLM Security Testing

1-2 week manual assessment focused on injection risk
RAG + agent coverage with replay harnesses
Detailed report plus remediation pairing
30-day retest included

Prompt Injection + Penetration Testing

Full AI Security Testing package

Blends prompt injection and OWASP penetration testing
Covers application, API, and infrastructure layers
Ideal before investor or enterprise reviews
Includes replay scripts for CI/regression suites

RAG Security Build or Hardening

RAG Implementation with defenses baked in

Implement/refactor ingestion, eval harnesses, and guardrails
Prompt injection defenses baked into the build
Best for teams without internal platform engineers

LLM Security Advisory Session

60-minute Prompt Injection Strategy workshop

Threat modeling plus prioritized next steps
Helpful when you need an expert gut check
Follow-up summary with tactical recommendations

Ready to harden it?

Walk through real RAG attack scenarios

Walk through prompt injection chains, RAG poisoning, and agent abuse scenarios in a 30-minute session tailored to your stack. Every demo includes the replay harnesses and mitigation playbooks I deploy in production.

Email matt@codewheel.ai

FAQ

Common questions

Is Prompt Injection Testing necessary for early-stage startups?

Yes. Attackers don't check for company size-they look for weak guardrails. Most platforms I test, regardless of stage, have at least one critical injection path.

Do you use automated Prompt Injection Testing tools?

Automation helps with bookkeeping, but every attack chain is manual so I can adapt to how your model responds. Scanners miss nuance-seeing the exploit myself is what matters.

Do you have Prompt Injection Testing case studies or testimonials?

CodeWheel AI is still earning its case studies under this brand. If you need polished enterprise logos today, I'm not the right fit. If you want transparent work and early-adopter pricing, let's talk.

Will you sign NDAs and handle LLM Security data privately?

Absolutely. Standard MNDAs or your paper are fine. Role-based accounts in staging (or production if necessary) plus API credentials are all I need-never full database dumps.

Can you help implement fixes after Prompt Injection Testing?

Yes. I build RAG systems and guardrails, so if you want implementation help we can scope it with the test or as a follow-on.

What is the difference between prompt injection and jailbreaking?

Jailbreaking defeats model-level safety filters. Prompt injection hijacks downstream systems-tools, APIs, billing, and databases-after the model accepts a malicious instruction. This service focuses on prompt injection because that is where real damage happens.

Related AI security services

Need broader AI security coverage?

Prompt injection defense pairs well with full penetration testing, AI security consulting, and secure AI platform development. Cross-linking these services boosts internal linking and keeps every surface covered.

Penetration Testing Services

OWASP penetration testing, API security testing, and vulnerability assessment for your full stack.

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AI Security Consulting

Threat modeling, AI security program design, and ongoing advisory for prompt injection defense.

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Next.js AI Platform Development

RAG implementation, Next.js architecture, and penetration testing built in from the first sprint.

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Ready for Prompt Injection Testing & LLM Security Assessment?

Share your AI platform architecture, RAG implementation, and launch timeline. I'll outline my prompt injection testing approach, LLM security methodology, attack coverage, and fixed scope. If I'm not the right fit for your prompt injection testing needs, I'll tell you immediately.

View complete AI security services

Contact

Email: matt@codewheel.ai

Based in the Bay Area. Remote-friendly, but happy to meet founders locally.

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