Trust starts
with evidence.
We build trust infrastructure for the agent internet. Making machine-actor behavior and relationships inspectable, attributable, and defensible.
Explore our approachNew actors. Familiar security fundamentals.
Which machine actor acted, and what tool or service was involved?
What did the tool claim it could do? What did the observed behavior establish?
Compare the evidence. When it cannot support a conclusion, keep the unknown visible.
Conceptual evidence model Not live telemetry
Software can act.
Security needs
context.
Why Ozark Security Labs exists Agents discover services, invoke tools, delegate work, and initiate transactions. Every relationship creates a security question.
We bring familiar fundamentals—identity, authorization, provenance, and forensic evidence—to this emerging surface. These are the questions we build to answer.
What acted, and under whose authority?
Which machine actor performed the action? Which identity, credential, or delegation authorized it? What tool, service, model, package, or MCP server was involved?
Where did it come from? What changed?
Trace source and publisher provenance, artifact identity, version history, and direct and transitive dependencies. Understand what capabilities were actually exercised.
What else could be affected?
Examine relationships across actors, systems, and transactions. Keep the evidence supporting a conclusion—and what remains unknown—visible.
Glimmer.
Our first product · Pre-launchThreat intelligence.
Built from the evidence.
Starting with MCP and x402, Glimmer is built to run its own Decoys and publish corroborated Indicators through signed Feeds and lookups. Customers receive intelligence, never the underlying Raw Telemetry.
Discover GlimmerControlled Decoys
Glimmer-owned MCP and x402 boundaries
Corroborated evidence
Raw Telemetry, enrichment, and correlation
Versioned intelligence
Indicators and Anonymous Clusters
Glimmer is not publicly deployed. Public access is pending legal and hosting-provider clearance. Where we are today
A conclusion is only
as good as its evidence.
A simple score is never a substitute for the evidence behind it. Across our work, we keep source, confidence, freshness, and collection limits in view.
Provenance stays attached. Artifact hashes, origins, versions, and dependencies provide the context.
Observation stays distinct from inference. Declared capability and observed behavior tell different parts of the story.
Unknown remains an answer. We say plainly what the evidence does not establish.
Let’s examine
what comes next.
Questions, partnership inquiries, or a conversation about machine-actor security.
Get in touch contact@ozarksecuritylabs.com