EASM
Continuous discovery of internet-facing assets and exposure signals. Links what is found back to your organization so teams can separate owned risk from internet noise.
Learn more →The digital iron dome for your business.
Continuous discovery of internet-facing assets and exposure signals. Links what is found back to your organization so teams can separate owned risk from internet noise.
Learn more →Dark-web and leak-adjacent monitoring for early warning. Detect credential sets, breach mentions, and high-risk chatter, then group sightings into a single incident with context.
Learn more →Brand and impersonation detection across domains and external surfaces. Find lookalikes, abuse patterns, and reputation threats, then route actions to the right owners.
Learn more →Attack-path style context for external signals. Connects what was found to likely entry points, blast radius, ownership, and next actions so the last mile becomes explainable.
Learn more →Interactive
A short triage challenge that illustrates the last-mile problem in cybersecurity: seeing external signals is easy; turning them into defensible priority and action is the hard part.
Goal
Decide fast under ambiguity.
Constraint
Minimal context, maximum noise.
Why it matters
Priority must be explainable.
NIK — RYVLAR'S AGENTIC AI
Nik sits on top of Ryvlar’s EASM, DarkWatch, Brand Monitoring, and Pathfinder context and turns it into ranked actions. It understands which signals matter, how they connect to your assets, and when to escalate without flooding teams.
L1 — Observe
Ingests external signals across surface, threat, and brand.
L2 — Correlate
Maps findings back to your org and assets to reduce noise.
L3 — Recommend
Proposes tickets, takedowns, renewals, and monitoring rules.
L4 — Guarded actions
Can be allowed to perform actions with approvals (agentless yet agentic).
What makes Nik different