Overview
Exaforce integrates AbuseIPDB to add critical network intelligence to every detection and investigation. The platform enriches IP addresses with reputation scores, abuse reports, geolocation, autonomous system details, and infrastructure type, then uses that context to prioritize threats, suppress noise, and accelerate triage. Security teams gain instant visibility into whether an IP is a known bad actor, a Tor exit node, a VPN endpoint, or clean infrastructure, eliminating guesswork and reducing time spent on benign alerts.
How it works
Exaforce queries AbuseIPDB in real time as events arrive from email, endpoint, and cloud sources. When a suspicious IP appears in a sign-in attempt, phishing email, or cloud API call, Exaforce retrieves its abuse confidence score, recent report history, country and city location, hosting provider, and infrastructure classification. The platform automatically flags connections from Tor nodes, commercial VPNs, and anonymization services, then correlates that data with user behavior and application access patterns to determine whether the activity is legitimate or malicious. This intelligence flows directly into detections, investigation timelines, and triage workflows, giving analysts the context they need without leaving the platform.
Core capabilities
Exaforce uses AbuseIPDB data as a foundation for network-based detections and enrichment. It checks every source IP for reputation, abuse history, and infrastructure type, then applies that intelligence to email security, identity access monitoring, endpoint connections, and cloud console activity. The platform detects patterns such as sign-ins from high-abuse IPs, email relay through known malicious infrastructure, cloud API access from Tor exit nodes, and endpoint connections to VPN services that violate policy. By normalizing AbuseIPDB intelligence across all telemetry sources, Exaforce eliminates the need for manual lookups and ensures every analyst has the same high-fidelity context.
Examples of threats enriched
Exaforce frequently catches credential stuffing attempts from IPs with hundreds of abuse reports, stopping the attack before it reaches internal systems. The platform identifies phishing campaigns by correlating email sender IPs with recent spam and malware reports in AbuseIPDB, then links those emails to targeted users and departments. When a user signs in from a Tor exit node or commercial VPN, Exaforce flags the anomaly if it deviates from their normal behavior. Cloud console access from anonymized infrastructure triggers investigation workflows that include the abuse score, hosting provider, and any related reports, giving teams immediate visibility into whether the session is authorized remote work or account compromise.
Triage and reduce false positives
AbuseIPDB reputation data helps Exaforce separate benign activity from real threats. A sign-in from a clean IP with no abuse history and expected geolocation generates less urgency than one from a high-confidence malicious IP with recent botnet reports. Email from a sender IP with a low abuse score and a legitimate hosting provider gets deprioritized compared to mail from infrastructure tied to spam campaigns. This contextual triage reduces alert fatigue and lets analysts focus on the findings that matter, while low-risk events are automatically documented for compliance and audit.
Benefits
Real-time IP enrichment accelerates investigations by eliminating manual lookups and providing instant context. Infrastructure classification reveals anonymization and evasion tactics that signal malicious intent. Abuse history and confidence scores improve detection accuracy and reduce false positives. Correlation across email, identity, endpoint, and cloud sources delivers a unified view of network-based threats.