AI & LLM Security
— Prompt Injection Code Path Review
AI & LLM Security engineered for the Prompt Injection Code Path Review threat landscape. Every finding is backed by proof-of-concept evidence.
Free Scoping CallPrompt Injection Code Path Review delivery and security model
Code-path review for how user input, documents, email, web content, and tool output enter the LLM prompt context.
Focus areas
- Untrusted input entering prompts
- System and developer message boundaries
- Tool output and RAG document separation
- Post-response actions and data leakage risk
Delivery notes
- Findings show input source, prompt assembly, and output action
- Indirect prompt injection scenarios are reproducible
- Remediation maps to data/control separation and runtime checks
Decision matrix
Prompt Injection Code Path Review is not just a service label; it states how each control is validated and which evidence is expected at closure.
| Control | Decision question | Validation | Expected evidence |
|---|---|---|---|
| Untrusted input entering prompts | Does Untrusted input entering prompts create real risk? | Validated against the relevant code, request, configuration, or runtime behavior in AI & LLM Security. | Findings show input source, prompt assembly, and output action |
| System and developer message boundaries | Does System and developer message boundaries create real risk? | Validated against the relevant code, request, configuration, or runtime behavior in AI & LLM Security. | Indirect prompt injection scenarios are reproducible |
| Tool output and RAG document separation | Does Tool output and RAG document separation create real risk? | Validated against the relevant code, request, configuration, or runtime behavior in AI & LLM Security. | Remediation maps to data/control separation and runtime checks |
| Post-response actions and data leakage risk | Does Post-response actions and data leakage risk create real risk? | Validated against the relevant code, request, configuration, or runtime behavior in AI & LLM Security. | Findings show input source, prompt assembly, and output action |
What if Untrusted input entering prompts fails?
Eresus maps this area to real user-flow or delivery-pipeline impact, so the finding is not left as a generic technical label.
What if System and developer message boundaries fails?
Eresus maps this area to real user-flow or delivery-pipeline impact, so the finding is not left as a generic technical label.
What if Tool output and RAG document separation fails?
Eresus maps this area to real user-flow or delivery-pipeline impact, so the finding is not left as a generic technical label.
Proof-Driven Methodology
Intelligence
Attack surface mapping & asset enumeration
Vulnerability Scanning
Penetration testing beyond automated scanners
Manual Verification
PoC validation for every finding
Remediation Support
Remediation code + free retest
Frequently Asked Questions
What decision does Prompt Injection Code Path Review clarify?
Prompt Injection Code Path Review clarifies exploitability, affected workflows, and release impact for AI & LLM Security with evidence rather than scanner noise.
What evidence is included in Prompt Injection Code Path Review?
Findings show input source, prompt assembly, and output action Also, Indirect prompt injection scenarios are reproducible. Retest criteria and ownership notes are included for closure.
How is this different from an automated scanner report?
Automated findings are not forwarded as-is; false positives are removed, abuse paths are proven, and remediation priority is explained.
Why Eresus Security?
Proof-Driven Reporting
Every finding is validated with a real exploit. No scanner noise — only proven risks.
Offensive Security Expertise
Specialized team in AI security, API pentesting, Red Team operations, and cloud security review.
Retest Support
Fixes are revalidated within the agreed engagement scope. Remediation guidance and developer-friendly notes are included.
Evidence-Ready Deliverables
Report format designed to support internal review, remediation tracking, and evidence-oriented workflows.
Related Service Areas
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