Immutable version registration
Exact manifests and configuration binding identify what was reviewed, preventing approval from drifting across prompts, models, tools, policies, or dependencies.
GhostFrame presents
GHOSTGATE
Pre-Production Trust Infrastructure for AI Agents
Decide which exact AI-agent versions are ready for production, under what conditions, and based on what evidence.
GhostGate qualifies exact agent versions against behavior, permissions, dependencies, policy, and risk. Human reviewers retain release authority, approved versions receive signed deployment attestations, and material changes invalidate prior approval.
Registered versionagent:v3.8.12
Release decisionConditionally qualified
Bound conditionHuman approval on write
Change stateRequalification required
01 / The release problem
Agents change faster than most release controls can explain.
AI agents gain authority through the systems around them. A small change to a prompt, tool, identity, model, memory layer, or shared dependency can create a materially different production risk.
Where authority accumulates
What traditional testing leaves open
Q.01
Which exact version was approved?
Q.02
What conditions apply?
Q.03
What evidence supports the decision?
Q.04
What changed since approval—and when must the agent be requalified?
02 / Production admission
A controlled path from development to release.
GhostGate makes qualification a version-bound release decision, not a vague property of an agent name or product family.
- 01Agent Development
- 02Exact Version Registration
- 03Qualification
- 04Security and Human Review
- 05Signed Deployment Attestation
- 06Production Admission
- 07Monitoring, Containment, and Re-entry
03 / Core capabilities
Evidence and control at the exact-version boundary.
Each capability exists to make a production release decision more specific, defensible, and reversible.
Behavior DNA and drift
Behavior DNA baselines, mutation detection, and drift detection reveal when a version no longer behaves like the system reviewers approved.
Causal and blast-path analysis
RiskChain causal analysis and blast-path analysis connect an observed behavior to the identities, tools, data, and downstream systems it can affect.
Graduated response and re-entry
A graduated immune response supports proportional containment, approval-bound enforcement, controlled re-entry, recurrence memory, and failback.
Fleet qualification
Cross-agent correlation, shared-identity analysis, shared-dependency analysis, and outbreak-cluster analysis expose risks that a single-agent review misses.
Human release decisions
Reviewers keep release authority and can apply conditional qualification controls instead of choosing between unrestricted approval and a blanket block.
Signed attestations
Signed Ed25519 deployment attestations bind approval to the exact version and its evidence so admission systems can verify the decision.
Material-change invalidation
Changes that matter invalidate prior approval and trigger requalification, closing the gap between a historical test result and the version being released.
Sanitized evidence archives
Reviewable archives give security, engineering, governance, and enterprise buyers a common record without exposing secrets or private environments.
Conditional production admission
Policies translate findings into explicit release conditions, giving deployment teams a clear answer about where, how, and with whose approval a version may run.
04 / Built for consequential agents
For teams that must defend the release decision.
CISOs, product and application security leaders, AI platform teams, AI governance leaders, CTOs, and enterprise agent companies use the same qualification record to decide what may proceed.
USE CASE 01
Agents with authority
Tool-enabled, coding, customer-facing, and multi-agent systems that can take business actions or change repositories and CI.
USE CASE 02
Agents with sensitive access
Systems connected to confidential or regulated data, identities, credentials, memory, or shared enterprise dependencies.
USE CASE 03
Teams under review
Security teams needing evidence before release and agent companies preparing for enterprise security reviews.
A bounded first decision
Bring one consequential release into focus.
Start with a 20-minute technical review of the agent, its authority, its release path, and the evidence your organization needs.