Prompt Injection & Untrusted-Input Governance
Prompt injection is OWASP's #1 LLM risk for the third year running, and detection alone still misses a majority of sophisticated attempts. Five gates for the architectural discipline that actually narrows the blast radius and makes an attempt survivable and investigable.
Who this pack is for
A platform engineering or security role responsible for an agent that consumes content it doesn't fully control, retrieved documents, tool outputs, third-party API responses, and has tool access to something consequential. Not a buyer looking for a prompt injection detection product — this pack does not claim to be one.
Published research puts a motivated attacker's success rate against even well-defended models at roughly 50–84%. This pack is deliberately scoped away from detection entirely, toward the architectural and process discipline security researchers actually recommend as the practical mitigation layer.
What's in the pack
All five gates are built so missing or unclear information blocks the result rather than quietly passing it, each tested against every possible input combination and against an independent third-party decision engine. Every worked example follows the same running scenario, a support-ticket triage and response-drafting agent, through a realistic untrusted-input governance arc: no trust boundary, a leftover unscoped tool connection, a silent high-impact action, no way to reconstruct an incident, and an unmonitored behavioral baseline.
Confirms every content source an agent consumes is explicitly classified trusted or untrusted, and that untrusted content is handled as data, never as instructions.
Confirms an agent's tool access is scoped to what its actual task requires, so a successful injection has less to reach for.
Confirms a consequential action traced back to untrusted content is held for human confirmation before it executes, not run silently.
Confirms tool calls are logged with enough source provenance that an incident can actually be reconstructed afterward, not just noticed.
Confirms a behavioral baseline set at agent creation is actively monitored, and a detected deviation reaches a human rather than sitting in a log.
Does not detect prompt injection attempts. Does not filter, sanitize, or scan content for malicious instructions. Does not guarantee that any injection attempt, however sophisticated or basic, is caught — no product available today can honestly make that guarantee. What this pack checks is whether the architectural discipline that narrows the blast radius and makes an attempt investigable is actually in place: trust classification, scope minimization, confirmation gates, provenance logging, and baseline monitoring. It does not replace a dedicated detection or content-filtering product, and does not provide model-level defences — those remain the buyer's own model/platform vendor's responsibility.
€499 / $599 / £449
Fixed price, checkout shows the currency you're billed in. Other currencies convert for a small fee. Instant download after payment. 30-day money-back guarantee.
Buy this pack