Integrated threat intelligence sources per analysis
Real-time threat intelligence, consolidated in one platform.
Integrated threat intelligence sources per analysis
IOC submissions per user per hour
Cache layers — in-memory, Redis, and OpenSearch
Live threat enrichment — no manual polling required
EagleEye IOC is a cybersecurity threat intelligence platform designed for Security Operations Center (SOC) teams. It acts as a single point of submission for any suspicious indicator — whether an IP address, domain, URL, or file hash — and returns a fully enriched threat verdict by querying seven external intelligence sources simultaneously, then computing a weighted composite risk score.
Without a platform like EagleEye, analysts are forced to manually query each intelligence source one at a time, manually reconcile conflicting verdicts, and build their own history tracking. A single investigation that should take minutes routinely consumes hours. EagleEye eliminates this by centralizing and automating the enrichment pipeline from submission to verdict.
What distinguishes EagleEye from standalone tools is its built-in multi-tenancy (each client's data is fully isolated), an immutable audit trail with version history for every indicator, and a live analytics dashboard that gives security leadership a real-time operational picture — including MITRE ATT&CK tactic coverage, geographic threat distribution, and malware family trends.
Today's threat actors move faster than traditional analysis workflows allow. SOC analysts juggling fragmented tools, manual lookups, and zero institutional memory are constantly at a disadvantage against adversaries who reuse and repurpose infrastructure at scale.

Analysts must manually check VirusTotal, AbuseIPDB, ThreatFox, GreyNoise, and others for every indicator. Each source gives a different score with no standardized weighting. Reconciling contradictory verdicts manually burns analyst time and introduces human error at exactly the wrong moment.

Without automation, a single IP or domain investigation routinely takes 20–40 minutes. Multiply that across hundreds of daily alerts and the backlog becomes unmanageable — leaving genuine threats buried and analysts burned out.

When there is no centralized history, two analysts may investigate the same indicator independently, or miss that an IOC was flagged malicious three months ago. Every shift change is a context reset. Repeat investigations cost money and delay response.
EagleEye covers the full threat intelligence lifecycle — from indicator submission through enrichment, visualization, file analysis, and long-term history tracking — in a single platform built on enterprise-grade infrastructure.
Submit an indicator, receive a verdict. Behind that simple flow is a three-layer caching architecture that delivers sub-second responses for previously seen IOCs, and a parallel multi-source query engine that returns new enrichments in seconds rather than minutes.
A SOC analyst receives a SIEM alert containing a suspicious IP address. Instead of opening five separate browser tabs, they paste the IP into EagleEye and receive a single enriched verdict within seconds — abuse confidence score, geolocation, VirusTotal detection count, GreyNoise classification, and whether ThreatFox has linked this IP to an active C2 campaign.
During an active incident, an IR team extracts dozens of IOCs from logs and memory dumps. EagleEye accepts batch submissions, processes all indicators in parallel, and returns prioritized results — allowing the team to immediately identify which IOCs represent active C2 communication versus benign infrastructure.
Threat hunters use EagleEye's history search and relationship graph to pivot from a single known-bad indicator across connected infrastructure. By expanding graph nodes, hunters surface the full scope of an adversary's toolkit before exploitation occurs.
A phishing campaign delivers a suspicious attachment. The malware analyst uploads the file to EagleEye's file analysis module, which computes hash types, measures entropy, runs YARA rules, and cross-references against VirusTotal — all without a dedicated sandbox environment.
Managed Security Service Providers use EagleEye's multi-tenant architecture to serve multiple client organizations from a single platform deployment, with complete data isolation between tenants and per-tenant permission controls.
Every other tool in your analyst's workflow gives them a verdict in isolation — a VirusTotal score here, an AbuseIPDB confidence rating there. EagleEye is the only platform that ingests all seven simultaneously and computes a single, transparently weighted composite verdict. The weighting is published: VirusTotal at 40%, AbuseIPDB at 25%, ThreatFox at 15%, GreyNoise at 8%, with the remainder shared across MalwareBazaar, URLhaus, and IPQualityScore.
In-memory cache (5-minute TTL) catches hot indicators instantly. Redis (12–24 hour TTL) handles the warm tier. OpenSearch stores permanent enrichment snapshots. Previously seen IOCs return in under 100ms — at any volume.
Multi-tenancy in EagleEye is not a permission layer on top of a shared dataset — it is a separate OpenSearch index per tenant. There is no query, no misconfiguration, and no privilege escalation that can expose one client's data to another.
When EagleEye identifies malware families or threat actor TTPs, it maps findings directly to MITRE ATT&CK techniques. This allows SOC teams to immediately understand adversary behavior — not just that something is malicious, but how it operates and what defenses to prioritize.
The historical record in EagleEye is never overwritten. When a threat profile changes, a new version is appended alongside all prior versions. Analysts can compare any two snapshots to see exactly what changed. This is not optional — it is the only write path the data model allows.
Most threat intelligence tools excel in one dimension. EagleEye is built specifically to aggregate across those tools, combining their signals into a single enriched verdict while adding capabilities none of them provide natively — multi-tenancy, version history, and a purpose-built analyst workflow.
| Capability | VirusTotal (standalone) | AbuseIPDB (standalone) | MISP (open-source) | EagleEye IOC |
|---|---|---|---|---|
| Multi-source aggregation into one verdict | Single source only | Single source only | Partial — manual correlation | 7 sources, weighted composite score |
| File malware analysis with YARA | Yes | No | Via plugins only | Built-in: hash, entropy, YARA, embedded IPs |
| Relationship graph visualization | Enterprise plan only | No | No | Included — interactive, expandable nodes |
| Multi-tenant data isolation | No | No | Manual RBAC setup required | Separate index per tenant — architectural isolation |
| Immutable version history per IOC | No | No | Partial — event-based, no snapshots | Append-only versioning with snapshot comparison |
| Live analytics dashboard (MITRE ATT&CK) | No | No | Third-party plugin required | Built-in — 8 chart types, 30-sec refresh |
| Deployment model | SaaS only | SaaS only | Self-hosted | Self-hosted / Docker / Kubernetes-ready |
| ★ denotes a capability unique to, or significantly stronger in, EagleEye IOC. Comparison based on publicly available product documentation as of June 2026. Verify feature availability directly with each vendor for your specific plan. | ||||
EagleEye is packaged as a Docker container and deploys to any environment that runs Docker Compose or Kubernetes. There are no proprietary agents to install, no persistent connections to manage. Onboarding is driven entirely by your existing API keys for the intelligence sources you already use.
Runtime architecture, data layer, rate limits, and security model for planning a production EagleEye IOC deployment.
We offer a guided demonstration using live threat intelligence against indicators of your choosing — no commitment required. Our team will walk you through the full workflow from submission to dashboard, and scope a deployment plan that matches your SOC's size and infrastructure.