LandmarkSignal Radar

Visibility and intelligence for secure AI operations.

Radar is designed to help teams monitor AI activity, identify outlier behavior, and prioritize risk signals before they turn into operational incidents.

What it does

What Radar captures and correlates

  • Signal patterns across model usage, latency trends, and anomaly spikes
  • Agent behavior across workflows, tool invocation paths, and retries
  • Policy-decision telemetry and exception frequencies
  • Cross-workflow indicators that suggest operational drift

Where it sits

Architecture position in the AI stack

Data sources

Model calls, agent actions, tool events

Radar

Normalization, correlation, risk scoring

Signals and insights

Prioritized queues and operational context

Core components

Modules built for AI observability

Observability layer

Collects normalized runtime telemetry across models, agents, and tools.

Correlation engine

Links related events across sessions to surface high-value patterns.

Risk scoring module

Applies configurable scoring to prioritize analyst investigation queues.

Threats addressed

Reduce blind spots in AI operations

  • Hidden anomaly patterns across distributed AI workflows
  • Prompt-injection indicators buried in routine activity
  • Unauthorized execution drift and unstable routing behavior

Deployment patterns

Designed to support enterprise constraints

Radar is designed to support self-hosted, private cloud, and hybrid deployment patterns.

Deployment depth and packaging can follow roadmap sequencing by environment.

What it is not

Radar is not a general SIEM platform

Radar is focused on AI-runtime visibility and AI-specific risk correlation.

It is not intended to replace every infrastructure-wide logging or SIEM workflow.

Use cases and audience

Who uses Radar

Security operations and AI platform teams use Radar to triage unusual behavior, prioritize investigations, and improve runtime decision quality.

Example workflow: review high-risk signal clusters, validate policy context, and route findings into incident handling.

Call to action

Ready to see Radar in action?

Request a product briefing to review representative scenarios and deployment options for your environment.

Request a Briefing