Now Live! Project Swarm: Join the Collective. Defend the Edge
Edge devices are the most exploited technology category in 2026. GreyNoise gives enterprise SOCs real-time edge intelligence inside the tools they already run, so they can defend against novel exploitation, detect compromised devices, and investigate critical alerts.
You have mature detection and response across endpoint, identity, cloud, and data. The edge is different. It's where you have limited telemetry, and it's where attackers move first.
AI has collapsed time-to-exploit. New vulnerabilities are weaponized the moment they appear, faster than teams can detect, prioritize, and respond.
VPNs, firewalls, routers, and load balancers can't run EDR. Your most exposed attack surface has the least telemetry.
Mass internet scanning floods the queue. Analysts burn hours separating noise from threats that matter.
GreyNoise spots active exploitation the moment it starts and turns it into dynamic, vulnerability-specific blocklists. Push them to the edge in real time, before attackers gain momentum.
Edge devices can't run EDR, so compromise usually surfaces too late. GreyNoise catches it with high-fidelity signals: an asset scanning our global sensor grid or beaconing to known C2. Act on it immediately, no agent required.
Most edge alerts are mass-scanner noise. GreyNoise rules out the benign background noise and enriches what remains with intent, CVE, and tooling context. Analysts cut volume and zero in on the alerts that demand action.
GreyNoise streams live scanning and exploitation activity into your SIEM to sharpen detections, and into your SOAR to drive confident, automated action.
Perimeter alerts are overwhelmingly noise. The events worth investigating get buried under opportunistic mass scanning.
Fewer alerts, better signal-to-noise ratio. Every remaining alert is from an IP GreyNoise has never observed — a stronger signal of potential targeted reconnaissance or attack activity.
Nothing checks whether traffic the firewall let through should have been, even when the source IP has a documented history of malicious activity.
Known-malicious IPs the firewall let through. Sessions to investigate, rules to fix.
Auth attempts never stop, and opportunistic access looks like targeting. Scanners, botnets, and proxy hosts authenticate to VPNs and identity providers unflagged.
A successful login from a flagged IP. An immediate, high-priority alert.
Outbound volume is too high to check by hand, and most threat feeds lack the real-time behavioral data to know which connections warrant a look.
Outbound to known-malicious infrastructure. Possible C2, exfil, or botnet.
Analysts look up IPs by hand, burning time on routine enrichment and making inconsistent calls.
Faster response, consistent triage across shifts, and 40 to 60% less alert volume.
Global exploitation surges against your vendors' CVEs are often the first sign of novel or zero-day activity. A single org can't see them until it's too late.
Spot rising exploitation early and harden before mass attacks, with real threats auto-separated from benign scanning.
Compromised edge devices scan the internet or call home to attacker C2 undetected. EDR can't run on them, so you usually find out only when you're blacklisted or reported by an outsider. GreyNoise watches both directions.
Catch compromise before reputation damage, with automated response in seconds, tracked in one case timeline.
Teams want to automate blocklist updates but risk blocking business-critical IPs and breaking legitimate services.
Confident, automated blocklist updates, with less over-blocking risk and fast response to malicious IPs.
Agentic workflows need high-quality threat intelligence. Without it, agents act on incomplete context or low-confidence data.
Faster, more confident agent-driven investigation, grounded in high-quality intel.
GreyNoise streams live scanning and exploitation activity into your SIEM to sharpen detections, and into your SOAR to drive confident, automated action.
Perimeter alerts are overwhelmingly noise. The events worth investigating get buried under opportunistic mass scanning.
Fewer alerts, better signal-to-noise ratio. Every remaining alert is from an IP GreyNoise has never observed — a stronger signal of potential targeted reconnaissance or attack activity.
Nothing checks whether traffic the firewall let through should have been, even when the source IP has a documented history of malicious activity.
Known-malicious IPs the firewall let through. Sessions to investigate, rules to fix.
Auth attempts never stop, and opportunistic access looks like targeting. Scanners, botnets, and proxy hosts authenticate to VPNs and identity providers unflagged.
A successful login from a flagged IP. An immediate, high-priority alert.
Outbound volume is too high to check by hand, and most threat feeds lack the real-time behavioral data to know which connections warrant a look.
Outbound to known-malicious infrastructure. Possible C2, exfil, or botnet.
Analysts look up IPs by hand, burning time on routine enrichment and making inconsistent calls.
Faster response, consistent triage across shifts, and 40 to 60% less alert volume.
Global exploitation surges against your vendors' CVEs are often the first sign of novel or zero-day activity. A single org can't see them until it's too late.
Spot rising exploitation early and harden before mass attacks, with real threats auto-separated from benign scanning.
Compromised edge devices scan the internet or call home to attacker C2 undetected. EDR can't run on them, so you usually find out only when you're blacklisted or reported by an outsider. GreyNoise watches both directions.
Catch compromise before reputation damage, with automated response in seconds, tracked in one case timeline.
Teams want to automate blocklist updates but risk blocking business-critical IPs and breaking legitimate services.
Confident, automated blocklist updates, with less over-blocking risk and fast response to malicious IPs.
Agentic workflows need high-quality threat intelligence. Without it, agents act on incomplete context or low-confidence data.
Faster, more confident agent-driven investigation, grounded in high-quality intel.
SOC, CTI, IR, threat hunting, network security, and vulnerability management each touch the edge differently. GreyNoise is the one intelligence layer they all share.
SOC, CTI, IR, threat hunting, network security, and vulnerability management each touch the edge differently. GreyNoise is the one intelligence layer they all share.
80+ integrations push GreyNoise intelligence into your SIEM, SOAR, TIP, firewalls, and agentic SOC tools. No rip and replace.
