LUXION Systems Guardian Runtime

Design partner inquiry

How to evaluate Guardian through technical review or shadow-mode pilot.

Time-bounded evaluations that record what Guardian would allow, block, route, or escalate — without production enforcement.

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What shadow-mode evaluation inspects

The pre-execution path design partners review during pilot scoping.

Proposed Action

tool call, API request, memory write, file operation, workflow step, or route decision under review

Send email to injected recipient — tool call / send_email

Proposed Action

tool call, API request, memory write, file operation, workflow step, or route decision under review

Send email to injected recipient — tool call / send_email

Risk Signals

Evidence gaps, uncertainty, contradiction, authorization mismatch, cost pressure, or consequence level

recipient mismatch, prompt-injection pattern, insufficient authorization evidence

Decision

allow, block, route, escalate, repair, scaffold, delay, or audit

Block

Route

local/small model, stronger model, cache, human review, or no execution

no execution

Audit Record

replayable record of context, decision, reason, route, and evidence boundary

trace recorded, replay input preserved, reason code assigned

Step definitions

tool call, API request, memory write, file operation, workflow step, or route decision under review
Evidence gaps, uncertainty, contradiction, authorization mismatch, cost pressure, or consequence level
allow, block, route, escalate, repair, scaffold, delay, or audit
local/small model, stronger model, cache, human review, or no execution
replayable record of context, decision, reason, route, and evidence boundary

Hover or focus each runtime step to reveal its one-line operational definition.

View runtime decision demo

Draft inquiry fields

Request Technical Review

Share your current agentic AI workflow, tool-use surface, and highest-risk actions. LUXION Systems will assess where pre-execution control, auditability, and compute governance may be valuable.

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Design-partner pilot path

Technical Review → Shadow-Mode Pilot → Controlled Enforcement → Enterprise Deployment

  1. Technical Review

    For teams evaluating agentic AI workflows and governance requirements.

  2. Shadow-Mode Pilot

    Observe proposed actions without blocking production execution.

  3. Controlled Enforcement Pilot

    Govern bounded workflows and measure enforcement quality.

  4. Enterprise Deployment

    Integrate runtime assurance and compute governance across selected production workflows.

Prepare inquiry email Email [email protected]

No backend submission required — use mailto to start a technical review conversation. Direct fallback: [email protected]

Who this is for

Teams that:

  • are testing or deploying AI agents
  • use tool calls, APIs, memory, file operations, or workflow automation
  • operate in high-trust, regulated, or security-sensitive environments
  • care about auditability, runtime control, and compute cost
  • can provide representative workflows for shadow-mode evaluation

Non-ideal fit

Not currently for:

  • teams only looking for a chatbot UI
  • teams without tool-using or workflow-executing AI
  • users seeking generic prompt engineering
  • organizations expecting production certification on day one
  • buyers wanting fixed self-serve pricing before technical scoping

What the pilot produces

Structured outputs from an observation-mode engagement — not production certification.

  • Action inventory

  • Evidence sufficiency report

  • Policy-boundary map

  • Escalation model

  • Governed action record examples

  • Technical scoping report

Evidence trust signal

Observed result

On an AgentDojo-compatible budget validation slice, Guardian Runtime achieved a five-seed STRONG PASS across 500 task/injection pairs: mean utility 0.702 [0.678–0.724], mean security 0.914, and mean attack success 0.086, with 4/5 seeds passing the full gate and 5/5 seeds passing security + attack constraints. Single-seed flagship reference: 0.74 utility, 0.91 security, 0.09 attack success across 100 pairs.

Claim boundary

AgentDojo-compatible budget validation. budget_nonleaderboard. official_comparable=false. Not an official leaderboard result. Not production safety certification. Not a general solution to agent safety.

Not claimed

Guardian Runtime is not presented as production certification, guaranteed compliance, measured production ROI, or a complete solution to agent safety. Current evidence is controlled budget-validation and internal infrastructure validation.

Shadow-mode pilot safety

Initial pilots can run in shadow mode: Guardian Runtime evaluates proposed AI actions and records what would have been allowed, blocked, escalated, or routed, without interfering with production execution.

Execution economics

As AI systems begin acting through tools, APIs, workflows, and memory, the economic problem is not only whether agent actions are admissible under policy. It is whether their actions are worth executing, which model should execute them, what the action costs, what risks it creates, and whether the decision can be reconstructed later.

Design-partner pilots are where execution economics become measurable: controlled shadow-mode evaluation, pilot-to-production readiness signals, and audit evidence that procurement and risk teams can review before broader deployment.

Pilot objectives

  • Measure whether pre-execution governance outputs fit your agent oversight and escalation workflows.
  • Evaluate audit evidence completeness, replay fidelity, and incident reconstruction support in shadow mode.
  • Assess risk-aware routing and compute-governance signals against representative agent traces.
  • Document pilot-to-production readiness criteria for procurement, security, legal, and internal review and compliance preparation.

Pilot design

Guardian Runtime design partner pilots are time-bounded engagements for enterprise teams evaluating runtime assurance fit — without authorizing production deployment.

Shadow-mode pilot flow

A time-bounded design-partner path — artifact evaluation and fit assessment, not production authorization.

  1. Intake & scope

    Define workflows, tool surfaces, and highest-risk actions for shadow-mode evaluation.

  2. Shadow evaluation

    Guardian classifies proposed actions without interfering with production execution.

  3. Weekly review

    Structured governance outputs, gate decisions, and audit records reviewed with your team.

  4. Fit assessment

    Time-bounded report on oversight fit — not production authorization or certification.

Duration: 2–4 weeks

Assess whether Guardian Runtime governance outputs (classification, gates, decisions, repairs, and audit records) fit your internal review and agent oversight workflows.

Core constraints

  • Artifact-based or shadow-mode evaluation — no unauthorized production enforcement in initial pilots.
  • No real-world execution against production systems without explicit controlled-enforcement agreement.
  • No deployment authorization — pilot outputs inform fit assessment, not go-live approval.

What we need for pilot design

  • Description of AI workflows under evaluation
  • Tool/API actions the agent can perform
  • Known failure modes or risk scenarios
  • Current review or escalation process
  • Desired success metrics
  • Permission to run shadow-mode evaluation on representative workflows

Partner supplies / LUXION delivers

Partner supplies

  • Representative agent traces, tool-call logs, or draft action proposals (sanitized).
  • Defined success criteria aligned to your oversight workflow.
  • Technical point of contact for weekly review sessions.

LUXION delivers

  • Structured governance outputs on submitted artifacts or shadow-mode streams.
  • Classification, gate decisions, repair recommendations, and audit ledger entries.
  • Weekly review summary and fit assessment report.

Success metrics

  • Event rate of latent risk surfaces before headline failures.
  • Reviewer time-on-loop for governed vs baseline traces.
  • Audit record completeness and replay fidelity.
  • Qualitative fit for internal escalation workflows.

Boundaries

  • No ROI figures unless measured in your environment.
  • No safety certification or regulatory validation claims.
  • No production throughput or fleet efficiency claims from pilot artifacts.
  • Confidentiality and data handling per mutual agreement.

Deployment model

Guardian Runtime is currently available for technical reviews, shadow-mode pilots, controlled enforcement pilots, and enterprise infrastructure validation.

Initial engagements are low-risk, measurable, and evidence-producing.

  1. Technical Review

    Operating mode

    For teams evaluating agentic AI workflows and governance requirements.

    Outputs

    • workflow risk map
    • action-surface analysis
    • governance gaps
    • recommended pilot scope

  2. Shadow-Mode Pilot

    Operating mode

    Observe proposed actions without blocking production execution.

    Outputs

    • logs
    • traces
    • routing analysis
    • risk report

  3. Controlled Enforcement Pilot

    Operating mode

    Govern bounded workflows and measure enforcement quality.

    Outputs

    • false positives
    • false negatives
    • workflow completion
    • escalation quality
    • audit evidence

  4. Enterprise Deployment

    Operating mode

    Integrate runtime assurance and compute governance across selected production workflows.

    Outputs

    • runtime assurance integration
    • compute-governance reporting
    • operational monitoring
    • ongoing improvement loop

Pilot pathway detail

Technical Review → Shadow-Mode Pilot → Controlled Enforcement → Enterprise Deployment — outputs and operating modes per stage.

  1. Technical Review

    Operating mode

    For teams evaluating agentic AI workflows and governance requirements.

    Outputs

    • workflow risk map
    • action-surface analysis
    • governance gaps
    • recommended pilot scope

  2. Shadow-Mode Pilot

    Operating mode

    Observe proposed actions without blocking production execution.

    Outputs

    • logs
    • traces
    • routing analysis
    • risk report

  3. Controlled Enforcement Pilot

    Operating mode

    Govern bounded workflows and measure enforcement quality.

    Outputs

    • false positives
    • false negatives
    • workflow completion
    • escalation quality
    • audit evidence

  4. Enterprise Deployment

    Operating mode

    Integrate runtime assurance and compute governance across selected production workflows.

    Outputs

    • runtime assurance integration
    • compute-governance reporting
    • operational monitoring
    • ongoing improvement loop

Commercial terms are defined privately based on workflow scope, number of governed actions, integration depth, evidence requirements, and deployment mode. Guardian Runtime does not publish fixed pricing at this stage.

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Review materials

Available on request before public publication.

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