SignalForge Guardian logo mark
SignalForge Guardian Runtime Trust Infrastructure
Runtime Trust Infrastructure

Stop deploying with confidence instead of evidence.

Guardian validates QA, security, AI boundaries, and runtime behavior before production, then tells alpha and pilot teams whether they can deploy.

Validated across 100 target behavior runs with 100% artifact success and calibrated no-overclaim reporting.
From URL or ZIP to Release Decision

Guardian travels through the runtime before your pilot traffic does.

Instead of dumping findings without context, Guardian moves through the reachable system, collects evidence, applies scope-aware validation, and decides what should happen before deploy.

1. Connect or Launch

Paste a staging URL or upload a ZIP. Guardian connects to the reachable runtime surface.

2. Map the Surface

Routes, APIs, forms, docs, public flows, and product edges are classified before testing depth is judged.

3. Validate Workflows

Real navigation, user flows, retry paths, and failure states are checked like a runtime reviewer.

4. Run Scope-Aware Validation

QA, security, AI boundary, and public API checks run with overclaim protection.

5. Decide the Gate

Guardian explains what it validated, what it did not validate, and whether the release is ready.

Surface Coverage 85%

Reachable routes, pages, APIs, and public signals mapped.

Workflow Coverage 49%

Coverage is scored against expected workflows, not generic noise.

Evidence Quality High

Artifacts, screenshots, summaries, and report context stay attached.

Validation Depth Moderate

Guardian distinguishes shallow public approval from deeper runtime certainty.

Blind Spot Score 72

Critical unvalidated zones reduce confidence instead of becoming fake findings.

Invisible Runtime Risk

Your build can pass while production still breaks.

AI accelerates code generation. Runtime validation does not magically keep up. Guardian exists for the gap between passing CI and trustworthy deployment.

build:        PASS
tests:        PASS
preview:      PASS
deploy:       PENDING

route("/checkout")       => fragile retry path
api("/session")          => weak boundary assumption
auth("/admin")           => drift not yet confirmed
ai("/assistant")         => scope unknown
workflow("/billing")     => partial runtime only
auth drift
broken workflow
API exposure
AI boundary failure
blind spot

Release anxiety is a runtime problem.

Teams ship with more confidence than evidence when they only trust build health, shallow smoke checks, or static review output.

  • Your tests pass, but protected surfaces can still drift at runtime.
  • Your preview looks healthy, but workflows can still break under real navigation.
  • Your docs promise AI features, but no one has validated the executable AI boundary.
  • Your deploy pipeline says green, but evidence for the actual release decision is still thin.
Runtime Validation Engines

Guardian validates behavior, not just code.

Each engine pushes deeper into the system, then reports only what the evidence actually supports.

QA Engine

Guardian validates real user workflows, state transitions, retries, async completion, and fragile runtime paths.

  • Forms, navigation, and route transitions
  • Workflow integrity and state drift
  • Recovery behavior after retries or refresh
  • Broken or dead-end user journeys

Security Engine

Scope-aware runtime security validation. No evidence never becomes BLOCKED.

  • Auth and session boundaries
  • Authorization and public API exposure
  • Config exposure and trust gaps
  • Blocked decisions require accepted evidence

AI Boundary Engine

Guardian separates AI marketing claims from real executable AI runtime surfaces before it judges AI risk.

  • Prompt boundaries and memory isolation
  • RAG boundaries and tool permissions
  • Agent workflow and context contamination checks
  • AI surface detection with scope limitation reporting
Reasoning Layer

Guardian is not just a scanner. It reasons before it decides.

Striker looks for the next valuable hypothesis, Defender audits evidence quality and overclaim risk, and Release Judge owns the final gate decision.

Striker

Generates hypotheses, attack order, workflow direction, and next-surface priorities.

Defender

Validates evidence, rejects weak claims, and keeps false positives out of the gate.

Release Judge

Answers the only question that matters: can this release ship?

Not another scanner. A release decision engine.

Traditional scanners

  • List findings without deployment context
  • Leave manual triage and trust decisions to the release owner
  • Miss runtime behavior and scope limitations
  • Do not explain deploy readiness clearly

Guardian

  • Launches or connects to the runtime surface
  • Groups signals into deploy decisions
  • Shows what was validated and what was not validated
  • Explains the gate with evidence, scope, and confidence
Release Intelligence Reports

Every decision comes with evidence.

Guardian reports are designed to answer a CTO in seconds and unblock a developer in minutes.

Decision Brief

Can I deploy? Why this decision? What risk level, scope, and confidence back it up?

  • APPROVED / REVIEW / INCOMPLETE / BLOCKED
  • Decision confidence and validation depth
  • Scope-aware approvals for public surfaces

Evidence Layer

Guardian explains what happened, why it mattered, and what the alpha or pilot team should verify next.

  • What was validated
  • What was not validated
  • Fix First and recommended next actions

Confidence Narrative

Confidence is not hand-wavy. Guardian explains what increased it and what reduced it.

  • Evidence quality
  • Blind spots and validation depth
  • Memory influence and historical context
What every report includes
  • Release decision and gate status
  • Risk level, scope, and decision confidence
  • What Guardian validated and what it did not validate
  • Evidence summary, blind spots, and next actions
Continuous Validation

Guardian stays with the release, not just the demo.

The deploy gate becomes stronger when scan history, scheduled checks, CI/CD, and release trends all feed the same runtime trust model.

Release 021 Approved

Validated surface, stable release confidence, no accepted blocking evidence.

Release 022 Review

Public surface healthy, but workflow depth and auth context need a closer look.

Release 023 Blocked

Accepted runtime evidence changed the deploy recommendation before a pilot release.

Release 024 Partial Validation

Runtime reachability was limited, but Guardian still produced a scoped summary.

Evidence-Backed Proof

Guardian is benchmarked on behavior, not just on screenshots.

These numbers are internal validation and adversarial showcase results. They are product-calibration proof points, not third-party vulnerability claims.

Behavior Dataset 100 targets

Public-safe and repository-safe runs completed with full artifact generation.

Artifact Reliability 100%

Every calibrated behavior run produced summary and report artifacts.

Overclaims 0

Calibrated reporting is designed to avoid saying more than the evidence supports.

Adversarial Showcase 33 validations

Controlled owned fixtures and public-safe demos exercised Guardian’s decision quality.

Expected Matches 32 / 33

Expected versus actual release decisions stayed tightly aligned in controlled runs.

Showcase Overclaims 0

Defender and Judge restrained Striker when the proof was not good enough.

Guardian is built to preserve scope. Public-safe validations remain disciplined, controlled fixtures prove deeper behavior, and release language stays evidence-first.
Make Every Release Evidence-Driven

The deploy gate should open because the evidence is ready.

Guardian is for alpha and pilot teams shipping modern software faster than trust can be created manually. Bring runtime evidence into the release process before production does it for you.

What Guardian changes

Teams stop asking whether the build is green and start asking whether the release is actually validated. That shift is the beginning of runtime trust infrastructure.

Scope-Aware Deploy Decisions

Guardian tells you what it validated, what it could not validate, and how much trust that decision deserves.