Prompt Injection Testing
Prompt injection matters when injected instructions change what the system reveals, retrieves, writes, calls, or executes. SCS tests prompt injection in the context of the deployed architecture.
Prompt Injection Testing.
Secure Consulting Solutions (SCS) provides prompt injection testing for LLM applications, RAG systems, AI agents, tool workflows, internal copilots, and enterprise Copilot scenarios.
The assessment validates whether direct prompts or indirect instructions in retrieved content can change what the system reveals, retrieves, calls, writes, or executes.
Deliverables include confirmed behavior, reproduction paths, raw output, tool or retrieval evidence where applicable, remediation guidance, and retest cases.
Assessment summary
| Identity | Which users, roles, workflows, or data sources can influence model behavior. |
| Evidence | Prompts, assistant output, retrieved content, tool calls, citations, logs, and workflow effects. |
| Risk | Instruction override, hidden prompt exposure, tool manipulation, policy bypass, and unsafe output handling. |
| Deliverable | Executive summary, technical report, reproduction steps, findings CSV, remediation guidance, and retest plan. |
What this assessment answers
- Can direct user input override intended behavior?
- Can retrieved documents, emails, files, or web content inject instructions indirectly?
- Can injection trigger tool calls or unsafe actions?
- Can the system leak hidden instructions or sensitive context?
- Do guardrails fail differently across roles or workflows?
What we test
- Direct prompt injection
- Indirect prompt injection through external content
- System prompt extraction
- Encoding and obfuscation attacks
- Policy bypass
- RAG document injection
- Agent tool manipulation
- Unsafe output handling
How findings are reported
- Confirmed behavior and reproduction path
- Raw output and relevant context
- Tool or retrieval evidence where applicable
- Severity and business impact
- Remediation guidance
- Retest cases
How SCS validates prompt injection findings.
SCS does not report prompt injection because a phrase produced a surprising answer. A finding needs evidence that the application behavior, data boundary, or workflow assumption failed.
Prompt injection consulting and testing services.
SCS is engaged specifically for prompt injection work, both as a standalone assessment and as a component of a broader AI security review. The scope below reflects what an engagement covers when prompt injection is the primary concern.
Engagement contents
| Direct injection | Whether user-supplied input can override system instructions, reveal hidden context, or change intended behavior. |
| Indirect injection | Whether instructions embedded in retrieved documents, email, files, or web content can steer the system. |
| Guardrail validation | Whether an existing filter, classifier, or policy layer holds under encoding, obfuscation, and multi-turn pressure. |
| Downstream impact | Whether a successful injection reaches tools, APIs, records, rendering, or workflows rather than stopping at text. |
| Evidence capture | The prompt sequence, model output, and observed system effect for every confirmed finding. |
| Remediation guidance | The architectural or control change that reduces exposure, including where a control belongs outside the model. |
| Retest cases | Named cases so a remediated control can be verified. |
What separates a finding from a curiosity
Prompt injection attracts a large volume of published payloads, and most of them produce nothing more than an unusual answer. An unusual answer is not a security finding. It becomes one when it changes what the system discloses, retrieves, writes, calls, or executes.
SCS therefore reports an injection only when the consequence is demonstrated. If a payload causes the assistant to adopt a different tone or ignore a formatting rule, that is noted but not escalated. If the same payload causes it to reveal system context, retrieve another tenant’s document, or invoke a tool outside the user’s role, it is reported with the evidence attached.
This distinction keeps the report short enough to act on and ensures remediation effort is spent on behavior that carries real business consequence.
Prompt injection testing questions.
What is prompt injection testing?
It is assessment of whether user input or untrusted retrieved content can override intended instructions, expose sensitive context, or drive unsafe system behavior.
Do you test indirect prompt injection?
Yes. SCS tests instructions embedded in retrieved documents, web content, emails, files, or other data sources when those inputs are in scope.
What makes a finding valid?
A finding needs evidence that application behavior, data exposure, tool use, or a workflow assumption failed. A strange answer alone is not enough.
Can this be tested without production data?
Often, yes. Test targets, approved samples, seeded markers, and scoped accounts can support assessment while limiting sensitive production exposure.
Do you offer prompt injection consulting services?
Yes. SCS is engaged directly for prompt injection consulting, either as a standalone assessment of a specific application or as advisory support while an engineering team designs and validates its own defenses. Engagements are scoped around the deployed architecture rather than a fixed payload list.
Can you test a system that already has guardrails or a filtering layer?
Yes, and that is a common engagement. The assessment measures whether the existing control holds under encoding, obfuscation, language switching, multi-turn setup, and indirect delivery, and identifies the conditions under which it fails rather than reporting only that it exists.
Can you retest after we deploy a fix?
Yes. Every confirmed finding ships with named retest cases, so the same conditions can be replayed against the remediated system to confirm the control now holds.
Where should prompt injection defenses actually live?
Durable controls generally sit outside the model, in authorization, tool-call gating, output handling, and approval boundaries. Instruction wording helps but cannot be relied on alone, because it is the layer an attacker is directly manipulating. Findings are written to point at the enforcement layer that will hold.