Classify the workload
Identify the operating context so policy can distinguish among web chat, interactive coding, agentic workflows, application traffic, and future workload types.
Deadlights AI Security Platform
A control layer for how your
organization uses AI.
Platform vision · In development
Deadlights is developing a configurable AI security platform designed to help organizations govern how employees, developers, applications, and agents reach AI models and services. The interface shown here is representative of the product direction—not a claim of general availability.
WORKLOAD CONTROL / REPRESENTATIVE INTERFACEPolicy + Routing Overview
Concept01 / WORKLOADS
Web ChatBalanced profile
Developer AssistLow-latency profile
Agentic AIRestricted profile
→
02 / DEADLIGHTS CONTROL
ClassifyIntent + workload profile
ProtectData + policy controls
RouteApproved model path
ObserveAudit + telemetry
→
03 / DESTINATIONS
Local ModelsPrivate inference
Private AIEnterprise platforms
External AIApproved providers
IDENTITYDLP / DATA SECURITYOBSERVABILITYPOLICYINTEGRATIONS
Why this matters
AI access is becoming an architecture problem.
Organizations increasingly have multiple AI entry points: browser-based assistants, developer tools, internal applications, automation, local models, private platforms, and external providers. Each path can introduce different data, identity, latency, quality, compliance, and tool-access requirements.
Deadlights is designed around one principle: those differences should be explicit, configurable, and enforceable.
Core platform vision
Classify. Protect. Route. Observe.
Each capability is intended to be independently configurable, so customers can align security, privacy, latency, model quality, cost, and operational requirements to the workload.
Protect data and policy boundaries
Apply policy before a request reaches a model, integrating sensitive-data controls, DLP, identity, and approval workflows instead of replacing them with an isolated rule set.
Route to an approved destination
Select a local model, private platform, external provider, or model pool based on workload profile, policy, availability, cost, capability, and preference.
Observe the decision
Record the context needed to understand what happened: selected route, policy decision, exception, latency, model/provider path, and operational outcome.
Workload profiles
Different workloads need different profiles.
A web-chat session, an interactive coding request, and an autonomous workflow should not automatically inherit the same model access, data handling, latency targets, tool permissions, or audit depth.
Web chat
Prioritize usability, appropriate data controls, approved providers, and a low-friction experience for employees and business users.
Interactive coding
Balance model quality, coding capability, response latency, developer workflow, repository context, and access to tools.
Agentic workflows
Apply stronger controls around tool use, autonomous actions, credentials, data access, escalation, and auditability.
Profiles are intended to make these differences manageable without forcing every AI interaction through the same configuration.
Integration surface
Built for integration, not isolation.
The platform vision includes integration points for the systems organizations already trust:
IDENTITY + ACCESS SYSTEMSDATA LOSS PREVENTIONDATA-SECURITY TOOLSSIEM + OBSERVABILITYMODEL GATEWAYS + PROVIDERSLOCAL INFERENCE PLATFORMSPRIVATE AI PLATFORMSCUSTOM POLICY SERVICESAPPROVAL + EXCEPTION WORKFLOWSAPPLICATION + DEVELOPER TOOLING
Deployment
Deployment flexibility is part of the design.
Organizations may have different requirements for local processing, private infrastructure, cloud services, and external AI providers.
Deadlights is being designed to accommodate mixed environments rather than assume every organization will standardize on one model host or one delivery pattern.
PRODUCT MATURITY
What the platform is not claiming today.
The public website remains explicit that the product is emerging. Deadlights does not claim:
- General availability
- Production customer deployments
- Published performance benchmarks
- Guaranteed compatibility with named third-party products
- Formal certifications
- A fixed commercial feature list
Those claims may be added only when supported by the actual product and approved by the owner.
Interested in the platform direction?
Review the vision. Influence the requirements.
If your organization is working through secure AI access, model routing, data protection, or production control challenges, we can discuss the architecture and show the current product direction.