Intelligence
built from
real attacks.
Original research, engineering notes, and practical defenses drawn from the hostile traffic FraudGuard observes every day.
Read the latest intelligence- 01 / OBSERVEAI API + web probes13,444 events / 30d●
- 02 / CORRELATERepeated across sensors3 services / 2 honeypots●
- 03 / VERIFYHostile intent confirmedMulti-vector attack pattern●
01 / Latest intelligence
New from the network.
Predictive IP Risk with ACE v2 Forecast
ACE v2 Forecast estimates an IP's near-term risk trajectory from observed attacks, prefix activity, recency, and correlation signals.
Read the report02 / Recent transmissions
Research, releases, and field notes.
FraudGuard vs GreyNoise for IP Reputation
Compare GreyNoise scanner intelligence and blocklists with FraudGuard's API-first IP decisions, first-party attack evidence, and public pricing.
↗AI-Assisted Honeypot Intent Verification at FraudGuard
How FraudGuard uses bounded AI-assisted analysis, deterministic signals, and human review to separate attacker intent from background internet noise.
↗FraudGuard vs Shodan: Discovery vs Threat Decisions
Compare Shodan's internet asset discovery and exposed-service search with FraudGuard's observed source-IP behavior and enforcement guidance.
↗Proxy Detection vs Attack Evidence: What Matters
VPN, proxy, and hosting labels add context but do not prove abuse. See how behavioral evidence and recency produce stronger traffic decisions.
↗FraudGuard vs IPQualityScore for IP Risk Decisions
Compare IPQualityScore's broad fraud-validation suite with FraudGuard's focused, explainable, honeypot-backed IP reputation workflow.
↗FraudGuard vs IPinfo: Geolocation vs Threat Evidence
Compare IP geolocation and network enrichment with FraudGuard's first-party attack observations, confidence factors, and traffic decisions.
↗03 / Archive
The complete field log.
Product releases, engineering guides, analysis, integrations, and practical defensive workflows.
34 articles
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01
Product release→
Predictive IP Risk with ACE v2 Forecast
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08
Comparison→
FraudGuard vs CrowdSec: Where Each Fits
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11
Product release→
FraudGuard ACE v2: Explainable IP Intelligence
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12
Engineering→
How FraudGuard Runs on DigitalOcean
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13
Product guide→
ThreatMap API: Map IP Threats in One Call
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15
Foundations→
Why Websites Block IP Addresses
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16
Decision guide→
Why VPN IPs Get Blocked—and When They Shouldn't
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17
Network guide→
ASN Abuse Explained: How to Investigate Network Risk
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18
Investigation guide→
Is This IP Address Safe? A Practical Checklist
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20
Product guide→
IP Dispute Manager: Resolve False Positives Faster
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21
Investigation guide→
How to Check if an IP Address Is Malicious
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22
First-party research→
How FraudGuard Observes Internet Threats at Scale
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23
Product guide→
GeoThreat API: Investigate Nearby IP Risk
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24
Deployment guide→
AccessGuard Setup Guide for AWS Organizations
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25
Architecture guide→
Offline IP Reputation for Authentication Security
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26
Product guide→
FraudGuard Offline Threat Database
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27
Product guide→
AccessGuard: AWS Organization-Wide IP Allowlisting
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28
Decision guide→
Country-Based Traffic Filtering Without Overblocking
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29
Product guide→
Advanced Threat Lookup for IP Investigations
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30
intelligence→
Introducing the FraudGuard.io Scripts Repository
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31
Investigation guide→
How to Investigate Suspicious IPs at Scale
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33
intelligence→
FraudGuard.io API Tier-Based Rate Limits
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34
intelligence→
FraudGuard.io Threats & Risks Documentation