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AI deployment for enterprise marketing teams.
© 2026 FutureProof LLC
Prompt injection, data leakage, tool misuse, jailbreaks: AI applications fail in ways traditional security testing never looks for. We attack your AI apps and agents the way adversaries will, document what breaks, and fix it — patches shipped, not a PDF of findings.
Traditional security testing hunts known vulnerability classes in known places. AI applications break differently. A carefully worded input can override system instructions, pull confidential data out of the context window, or trick an agent into misusing the tools it's connected to — and none of it shows up in a standard scan or pen test.
Most teams shipping AI features have never been attacked this way, which means the first adversary to try will be a real one. Better that it's us: the same techniques, under controlled conditions, ending in a fix instead of an incident.
One engagement covers the full loop: adversarial testing across your AI surface, findings ranked by real-world exploitability, and patches implemented in your codebase.
We attack your AI apps and agents the way adversaries will — prompt injection, jailbreaks, data leakage, tool misuse — across every interface your users and attackers can reach. Each finding comes with a working reproduction, an impact rating, and a recommended fix, so nothing lands as a vague warning.
Scope a test →Most security reports die in a backlog. We implement the fixes with your team — input hardening, output filtering, permission scoping, guardrail layers — so the engagement ends with closed holes, not open tickets.
Book a scoping call →After patching we re-run the full attack suite to confirm each exploit no longer lands, then hand your team the test cases — so every future release gets checked against the same attacks.
Talk it through →If your AI features touch customers, data, or tools, this is for you.
Fixed scope, fast turnaround, patches included. Tell us what you've shipped and we'll scope the test.
AI deployment for enterprise marketing teams.