The 72-hour window: why patching CVE-2026-• was already too late
Inside our telemetry of the latest edge-router authentication bypass — from public disclosure to mass exploitation in under three days, mapped exposure-by-ASN.
We map the open internet at scale — every port, every certificate, every domain, every leak. GWSSG fuses global reconnaissance with AI-driven relational intelligence so our partners see what's coming before it surfaces.
We don't sample. We don't poll. GWSSG continuously scans, ingests, normalizes, and graphs every observable surface attackers care about — and we do it at line rate.
Full IPv4 sweeps every 4 hours, IPv6 hitlist coverage, banner-grab and protocol fingerprinting on 800+ services. We map what is exposed before adversaries do.
Authoritative passive DNS, real-time zone delta monitoring, fast-flux and DGA detection, and brand-watch across 1,800+ TLDs — including newly observed registrations within 90 seconds of authority.
Full CT log ingestion with sub-minute watermarks. Issuer chains, JA3/JA4/JARM pivots, and TLS handshake fingerprints are graphed directly into our entity store for cross-asset correlation.
CVE coverage enriched with KEV, EPSS, vendor advisory text, exploit-PoC sightings, and live exposure counts — so you know not just what's wrong but who's likely to be hit and when.
Adversary infrastructure tracking, malware C2 attribution, leaked credential pipelines, dark-market signal extraction, and named-actor cluster maintenance — all source-graded and timestamped.
One graph, one identity per entity. IPs, certs, domains, ASNs, hashes, kits, actors — all stitched. Pivot from a single artifact to the full operational footprint in milliseconds.
Adversaries weaponize new exposures within hours. Static asset inventories and quarterly scans are no longer a defense — they're a confession. We work the way attackers work: continuously, at internet scale, with the same tools, only earlier and faster.
Our ingestion pipeline streams 11 trillion events per quarter through hardened LLM and embedding stacks. We use AI to do what humans can't: collapse millions of weak signals into a handful of ranked, cited, actionable findings — with an audit trail.
Inside our telemetry of the latest edge-router authentication bypass — from public disclosure to mass exploitation in under three days, mapped exposure-by-ASN.
JARM clusters revealed a single backend behind nine distinct affiliate brands. We map the rotation cadence and the registrar choices it telegraphs.
How we settled on a temporal property graph keyed by canonical entity hashes — and why your average SIEM schema collapses under this load.
Our quarterly summary of global exposure by sector, mass-scanner volumetrics, top exploited CVEs, and the credentials economy — with downloadable raw datasets.
Six months of production data on our LLM-driven alert collapser. The math, the mistakes, and what we changed when the model started over-clustering.
A sober look at internet-facing OT inside the energy sector. Numbers we can publish, numbers we won't, and why this is now a procurement problem.
Headquartered in Albany, New York. Distributed across four continents. We work with a deliberately small client roster so the team that scopes you also runs your engagement.

Former federal red-team lead. Builds the company he wished his agency could buy from.

Twelve years tracking nation-state operators. Author of the GW actor-cluster taxonomy.

Designed the temporal graph store. Sleeps when the ingest dashboard is green.

Embeddings, retrieval, and the part where you make the model stop lying.
Every minute of recon delay is exposure your adversary already has. Let's close it.