Syndu turns unsolicited internet traffic into a cleansed, standardized behavioral analytics layer for threat and trust decisions. We collect public-edge unsolicited traffic, enrich it, annotate it, aggregate it across network and geography, and score it into stable report truth.
Syndu observes unsolicited network traffic from the public edge and treats it as external evidence, not as self-reported customer telemetry. That gives buyers an outside-in view of how network entities behave.
Raw events are normalized, enriched with network metadata, annotated with behavioral context, aggregated across network and geography, and rolled into stable truth rows. The output is standardized analytics, not log noise.
Syndu scores behavior in threat and trust context: activity shape, annotator evidence, provider footprint, organizational exposure, and geographic spread. Buyers get a standardized second opinion on how a network entity behaves.
The same behavioral model is projected across ip address, subnet, ISP, ASN, organization, city, region, and country. Security teams, tools, and AI agents consume one coherent report language at every layer.
Buyers use Syndu to corroborate internal signals, strengthen SIEM and SoC workflows, and improve triage, trust review, exposure management, and executive briefings with an external behavioral lens.
The value is not raw collection alone. The value is cleansed, standardized behavioral evidence that can be read by people, consumed by agents, and reused by security tooling without a bespoke normalization project.
Syndu sells daily report-shell volume, not internal panel fanout. Large consumers can work directly from the web surface, including AI and automation stacks, without waiting for a separate API contract.
The primary buyers are large organizations, agent providers, MSSPs, and platform teams that need a trustworthy external view of how networks, providers, and territories behave at scale.
Top 30 active named-org truth rows, using the same 30d activity filter as the org directory.
Observed across 2,156 IPs, 1 ASNs, and 3 countries.
Observed across 533 IPs, 1 ASNs, and 1 countries.
Observed across 886 IPs, 1 ASNs, and 5 countries.
Observed across 1,219,952 IPs, 3 ASNs, and 1 countries.
Observed across 348 IPs, 1 ASNs, and 1 countries.
Observed across 1,714 IPs, 5 ASNs, and 5 countries.
Observed across 9,622 IPs, 1 ASNs, and 1 countries.
Observed across 4,650 IPs, 2 ASNs, and 1 countries.
Observed across 1,677 IPs, 1 ASNs, and 1 countries.
Observed across 31 IPs, 1 ASNs, and 1 countries.
Observed across 20 IPs, 1 ASNs, and 1 countries.
Observed across 11 IPs, 1 ASNs, and 1 countries.
Observed across 259,389 IPs, 1 ASNs, and 1 countries.
Observed across 7,794 IPs, 1 ASNs, and 9 countries.
Observed across 1,990 IPs, 2 ASNs, and 2 countries.
Observed across 955 IPs, 1 ASNs, and 11 countries.
Observed across 605 IPs, 1 ASNs, and 1 countries.
Observed across 2,688 IPs, 1 ASNs, and 8 countries.
Observed across 1,710 IPs, 3 ASNs, and 7 countries.
Observed across 3,365 IPs, 1 ASNs, and 1 countries.
Observed across 11,529 IPs, 2 ASNs, and 6 countries.
Observed across 402 IPs, 1 ASNs, and 2 countries.
Observed across 942 IPs, 2 ASNs, and 3 countries.
Observed across 18,347 IPs, 1 ASNs, and 1 countries.
Observed across 110,551 IPs, 10 ASNs, and 1 countries.
Observed across 9 IPs, 2 ASNs, and 1 countries.
Observed across 771 IPs, 3 ASNs, and 7 countries.
Observed across 2,061 IPs, 1 ASNs, and 4 countries.
Observed across 745 IPs, 2 ASNs, and 1 countries.
Observed across 20,585 IPs, 2 ASNs, and 1 countries.
These articles explain the offering in operational terms: report coverage, SoC and SIEM fit, quota mechanics, privacy boundaries, and scale consumption without an API.
Syndu exposes a dimensional risk surface across network entities and geography: ip address, subnet, ISP, ASN, organization, city, region, and country.
Syndu reports are external context pages for monitoring, hygiene review, and decision support. They complement SoC and SIEM processes rather than replace them.
The product is designed for organizations that already have web-scale collection and AI processing capacity. Syndu sells quota on report access rather than an API entitlement model.
Syndu uses the web's underlying metadata to simplify customer onboarding and quota ownership. Good network metadata improves both attribution quality and product fit.
Syndu identifies the consuming organization from network metadata when possible, then counts only canonical report lookups against the daily quota.
Account, quota, payment, documentation, and websocket traffic is kept out of the reporting universe. The reporting pipeline is reserved for observed network behavior, not customer account operations.
Syndu prices report consumption as daily report-shell volume. The quota covers the canonical report page, not the smart-panel fanout behind it.
Practical answers for teams that want to consume Syndu reports at scale while keeping the business flow simple.
Registration unlocks the quota dashboard, plan selection, and the subscription flow while keeping report delivery quota-based.
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