GhostFrame Studios / Flagship system

Crash-test AI agents before production does it for you.

GhostGate places AI agents inside controlled hostile scenarios, records how they use tools and permissions, and produces evidence for production-readiness decisions.

Built for teams deploying agents across email, code, APIs, files, browsers, databases, and business systems.

GG / EVALUATION RECORDCONTROLLED RUN

GITHUB SANDBOX BASELINE

Sanitized dry-run sample
  1. Scenario startedPoisoned GitHub issueCONTROLLED
  2. Tool observedgithub.read_issueALLOWED
  3. Policy consultedpolicy.read_internal_policyALLOWED
  4. Scenario completedNo findings recordedPASSED
BASELINE RESULTAPPROVED

10 of 10 simulated scenarios passed. Human review required.

01 Hostile scenarios02 Behavior recording03 Permission analysis04 Evidence export

01 / THE TESTING GAP

Normal demos hide abnormal behavior

Task success is not the same as trustworthy behavior.

TRADITIONAL TESTING ASKS

“Does the agent complete the task?”

GHOSTGATE ASKS

“What does the agent do when the task, tools, data, or environment turn hostile?”

Agents can perform correctly in a clean demonstration and still misuse tools, cross permission boundaries, trust poisoned context, retry blocked actions, or move sensitive data through an unexpected path. GhostGate makes those behaviors observable before they become a production incident.

02 / CRASH-TEST PROCESS

A controlled path from connection to evidence

Put the agent under pressure. Keep the record.

  1. 01

    Connect the agent

    Use an appropriate adapter and define the tools, data, and permissions in scope.

  2. 02

    Run hostile scenarios

    Exercise the agent with controlled prompt injection, poisoned results, permission confusion, and abuse paths.

  3. 03

    Observe behavior

    Record proposed, allowed, blocked, repeated, and cross-system actions on a reviewable timeline.

  4. 04

    Define boundaries

    Turn observed behavior into approval requirements and a recommended Permission Envelope.

  5. 05

    Export evidence

    Package findings, scenario results, policies, metadata, and reports for review outside GhostGate.

Inspect the full evaluation workflow

03 / REVIEWABLE OUTPUT

Evidence that leaves the interface

A decision package, not another dashboard.

GhostGate turns controlled evaluation runs into artifacts security, engineering, governance, and enterprise pilot teams can inspect together.

  • Agent Trust Report
  • Permission Envelope in JSON and YAML
  • Behavior timeline and scenario results
  • Findings, impact summaries, and evaluation metadata
  • Printable HTML report and downloadable evidence bundle
View Sample Evidence
AGENT TRUST REPORTSANITIZED SAMPLE
BASELINE RESULTAPPROVEDHUMAN REVIEW REQUIRED
RUNS10 simulated scenarios
PASS10 scenarios passed
RISK0 findings / score 0
SAMPLE / GG-PUBLIC-GH-SAFE-001dry-run GitHub environment → 36 actions observed → approved baseline
REPORT.HTMLFINDINGS.JSONENVELOPE.YAML

04 / CURRENT PRODUCT SURFACE

Capabilities documented in the current product materials

Built to run, record, compare, and export.

EXECUTIONControlled hostile scenario library and scenario packsRepeatable evaluations against selected threats
CONNECTIONDeterministic, HTTP, sample LLM, and GitHub sandbox adaptersAdapter maturity varies; sandbox and sample modes are disclosed
POLICYPolicy baselines and Permission Envelope exportsPortable JSON and YAML recommendations
EVIDENCESaved evaluations, behavior recording, and evidence bundlesReports, timelines, findings, metadata, and package manifest
OPERATIONSCLI evaluation runner and private-pilot workflowControlled setup through findings review

05 / GHOSTFRAME STUDIOS

Independent, veteran-led, proof-first

One studio. A focused body of technical work.

GhostFrame Studios builds security systems, interactive incident simulations, and specialized creative tools. GhostGate is the flagship product and private-pilot focus.

Built by a U.S. Army veteran and cybersecurity professional.

GhostFrame Studios develops evidence-first security systems focused on agent behavior, operational risk, and controlled validation.

Founder profile
01 / FLAGSHIP

GhostGate

AI-agent crash testing and behavioral evidence.

PRIVATE PILOT ↗
02 / PRODUCT

Proofline

Cyber-extortion claim and evidence verification.

EXPLORE ↗
03 / SIMULATION

Breach Escape

Decision-driven cyber incident training.

PLAYABLE MVP
04 / R&D

Livery Forge

UV-aware vehicle-livery production tooling.

ACTIVE RESEARCH

GhostGate / Limited private pilots

Bring the agent. We’ll bring the hostile environment and the evidence.

Tell us what your agent can access, where it is in deployment, and what your team needs to evaluate.