User + tenant
Cross-user and cross-tenant isolation, role differences, impersonation boundaries, and ownership transitions.
Production agent authority verification
Prove whether your
production-bound agent
stays in bounds.
LuxlyNight independently tests whether an AI agent acts only for the right user, tenant, delegated task, tools, credentials, actions, and destinations—then gives your team reproducible evidence to support its launch decision. Testing occurs in a customer-controlled non-production environment representative of the intended workflow; the result states every production-parity assumption.
Tailored scope · Written authorization · Product-independent testing · Reproducible evidence
AUTHORITY / OBSERVED EVIDENCE FIRST
Scope follows the system and the decision—not a template.
Practitioner-led·Product-independent·Manually validated·Decision-ready evidence
01 / The gap
Your controls describe intended authority. The system decides what happens.
Agent authority is distributed across application logic, identities, tokens, API policies, tool definitions, approval gates, tenant state, retries, fallbacks, and downstream services.
Each control can appear correct in isolation while the complete workflow still permits the wrong actor, destination, credential, or action. LuxlyNight verifies the assembled behavior—not merely the configuration.
02 / Services
Eight core areas. Three controlled scopes. One evidence standard.
LuxlyNight assesses applications, networks, cloud environments, and GenAI systems; models threats and attack paths; validates detection capability through purple-team exercises; and provides bounded product-security advisory. Qualification-gated phishing-resilience, malware-defense, and physical-security scopes use controlled, non-destructive methods only. Agent authority remains the signature specialty. Physical-security work begins only after qualified personnel and facility, insurance, legal, safety, and authorization gates are confirmed.
Explore services and boundariesCommercial modelTailoredScope, delivery team, schedule, outputs, and fee follow qualification.
- 01
- Application Security Assessment
Assess a defined application or API for exploitable weaknesses in authentication, authorization, business logic, sessions, tokens, data handling, and tenant isolation. - 02
- Network Security Assessment
Evaluate an approved external or internal network boundary for exposed services, unsafe trust relationships, segmentation gaps, weak access controls, and material attack paths. - 03
- Cloud Security Assessment
Assess the identities, privileges, trust relationships, secrets, containers, Kubernetes controls, deployment boundaries, and exposed paths behind an important cloud workload. - 07
- GenAI Security Assessment
Assess an LLM application or tool-using agent for prompt and tool abuse, unsafe data access, trust-boundary failures, and authority that exceeds the intended user, tenant, task, or action.
Scope, methods, environments, schedule, delivery team, deliverables, retest options, fees, expenses, payment terms, and availability are confirmed in signed engagement documentation. Nothing on this site books or authorizes an engagement.
Check engagement fit03 / What we verify
The authority surface—not just the prompt surface.
Prompt injection may be one route to abuse. The assessment follows the resulting identity, data, tool, credential, and action path to determine what the complete system permits.
Delegated task
Whether authority remains constrained to the user-approved purpose, duration, and workflow state.
Identity
Human, workload, agent, and service identities across authentication, delegation, exchange, and revocation.
Tools + APIs
Which tools can be called, under which context, with which parameters, and through which trust boundary.
Credentials
Audience, scope, lifetime, storage, exchange, inheritance, fallback, and behavior after revocation.
Actions
Consequential operations, approval gates, parameter tampering, sequence abuse, retries, and duplicate execution.
Destinations
Approved services, alternate endpoints, redirect behavior, egress paths, and data-to-action boundaries.
Auditability
Action provenance, decision records, identity context, trace completeness, and evidence required for review.
04 / Common environments
Designed for the control seams where agent authority is assembled.
Fit depends on the workflow and access available, not a logo wall or a mandatory product stack. These are common technical patterns—not partnership or certification claims.
Agent orchestration
Agent runtimes, planning and execution loops, state, retries, fallbacks, and human approval gates.
Identity + delegation
OAuth/OIDC, workload identity, delegated credentials, token exchange, scope, revocation, and service identities.
Tools + MCP
MCP servers, tool APIs, function calls, tool selection, arguments, authorization context, and downstream effects.
Multi-tenant applications
User, role, workspace, tenant, object-ownership, impersonation, and cross-customer boundaries.
Cloud + API controls
API gateways, cloud IAM, secrets, egress policy, approved destinations, redirects, and alternate endpoints.
Evidence systems
Application logs, identity events, traces, approval records, and action provenance needed to explain a result.
05 / Sample evidence
Show the denied path—not just the claim.
Every material conclusion is tied to an actor, context, requested action, intended outcome, observed behavior, and captured evidence.
SYNTHETIC EXAMPLENo client information
Inspect the sample pack Tenant boundary
Support agent retrieves a ticket from the wrong tenant.
- Actor
- Tenant A support user
- Delegated task
- Summarize ticket A-1042
- Attempt
- Tool call requests ticket B-8821
- Intended
- Deny before data retrieval
- Observed
- Ticket body returned to agent context
06 / Possible outputs
One evidence base. The outputs your decision requires.
Deliverables are selected during scoping. Depending on the engagement, the evidence base may support engineering, security, product, leadership, or customer-review audiences.
Evidence people can reproduce and fix.
- Intended-versus-observed authority map
- Allow-and-deny test matrix
- Captured identity, request, response, and trace evidence
- Discrepancy register with severity and uncertainty
- Prioritized remediation guidance
- Retest record and final technical status, when included
A decision record people can explain.
- Executive decision memo
- Technical disposition: no scoped blocker identified, blocker identified, or remediation required
- Coverage, exclusions, and remaining uncertainty
- Launch blockers and accepted residual risk
- Customer-shareable scope-and-results summary
- Closeout discussion with accountable owners
07 / The distinction
Choose the assessment for the question still open.
Scans, red teams, platforms, and internal testing each answer useful questions. LuxlyNight is for the narrower gap between configured controls and the effective authority of one assembled workflow.
ApproachWhat it answersWhat can remain open
Automated exposure scanWhat publicly observable weaknesses exist?Authenticated, stateful agent authority
General pentest or AI red teamWhat vulnerabilities or adversarial failures can be found?An explicit intended-versus-observed authority model for the launch workflow
Gateway, IAM, or AI-security platformWhat controls does that product configure or enforce?Independent verification across application logic and multiple products
Internal testingDid the cases selected by the delivery team behave as expected?Independent boundary challenges and a customer-shareable evidence record
LuxlyNight verificationDoes assembled behavior match intended authority for the approved workflow?Anything outside the agreed environment, paths, systems, and test period
Frame the decision
Define the launch, customer commitment, or architecture decision the evidence must support.
Map intended authority
Document actors, tenants, delegated tasks, identities, tools, destinations, credentials, and allowed actions.
Verify observed behavior
Exercise approved allow-and-deny paths, capture evidence, and investigate discrepancies without expanding scope by implication.
Close the decision
Deliver the agreed engineering evidence, decision support, remediation priorities, and retest record where included in scope.
09 / Practitioner-led
Accountability stays connected from scope through evidence.
LuxlyNight is intentionally practitioner-led. A named engagement lead remains accountable for scope, testing judgment, evidence quality, and closeout. Additional delivery personnel and their required access are identified before work begins.
About LuxlyNight01
Direct accessCommunication with the practitioner responsible for the work.
02
Product-independentNo gateway, platform, or continuing-monitoring sale attached.
03
Explicit limitsWhat was not tested and what remains uncertain are part of the result.
04
Evidence retentionHandling, retention, and deletion rules are agreed before access.
A strong fit
A defined system, a consequential decision, and a deadline that needs evidence.
- An application, network, cloud, GenAI, email, endpoint, facility, or detection boundary can be defined
- A launch, customer, architecture, attack-path, remediation, or risk decision is at stake
- An accountable system owner can authorize the work in writing
- Representative access, identities, evidence, or telemetry can be made available safely
- Engineering and security owners are ready to act on the result
Outside the practice
What LuxlyNight does not claim to provide.
- Unbounded or continuous vulnerability scanning
- Continuous SOC, MDR, or monitoring
- Emergency incident response
- Generic model-alignment evaluation
- Uncontrolled phishing, credential theft, live malware, covert or forced entry, weapons, theft, destructive activity, or persistent access
- Certification, compliance attestation, or legal opinion
10 / Before we talk
The important boundaries, answered.
Is this a generic AI red team?
No. Prompt injection and adversarial inputs may be used where relevant, but the central question is whether the complete system can exercise authority outside the intended user, tenant, task, tool, credential, destination, or action boundary.
Do we need to deploy a LuxlyNight gateway or platform?
No. The assessment evaluates the application, identities, policies, tools, APIs, and controls you already use. LuxlyNight does not require a managed-platform commitment or sell a control product as part of the assessment.
Does an inquiry authorize testing?
Never. Active testing begins only after the system owner, authorized assets and identities, methods, window, contacts, stop conditions, evidence rules, and engagement terms are complete in writing.
Is the outcome a certification or compliance attestation?
No. The outcome is bounded evidence about the agreed workflow and time period. It may support a launch or customer review, but it is not legal advice, certification, a compliance attestation, or a guarantee that the system has no weakness.
What happens after the report?
The agreed deliverables can include engineering closeout, prioritized remediation guidance, and a bounded retest. Where retesting is in scope, the final record states what is resolved, partially resolved, accepted, or still open.
Bounded qualification
Bring the system, the security question, and the decision date.
Start with the anonymous fit check. If an engagement fits, send only a high-level business question; sensitive exchange begins through an agreed channel after qualification.
Do not send credentials, access tokens, target details, exploit material, regulated data, personal information about other people, or confidential architecture through an initial email.