A Technical Overview of the Augur Platform
Predictive Threat Prevention, Explained
Let’s be honest, security buyers have heard it all before. Everyone claims they use AI. Everyone says they prevent attacks. Most solutions just react slightly faster after a compromise. So you’re right to be skeptical.
Augur is different by design. It doesn’t enrich alerts; it eliminates risk. It doesn’t identify malware after it launches; it blocks the infrastructure before it’s weaponized. And it doesn’t guess, it predicts with real-world, proven accuracy.
How Augur Works
Security doesn’t fail because defenders aren’t smart; it fails because most of the tools they use operate too late in the kill chain. Augur shifts the timeline. Our platform focuses upstream, on the infrastructure phase where adversaries acquire IP space, register domains, and configure servers.
By modeling how attackers set up, not just what they execute, our platform offers a fundamentally different defense strategy: stop the campaign before it starts.
Augur Turns Adversary Prep into Predictive Action
The Augur platform transforms global infrastructure telemetry into predictive defense.
Early Infrastructure Detection
- Detects signals aligned with MITRE ATT&CK T1583: Acquire Infrastructure
- Monitors domain registration behavior, IP reassignments, DNS anomalies, and BGP routing
- Identifies attacker setup behavior days, weeks, or even months before use
Behavioral Threat Modeling
- Unsupervised machine learning (ML) clusters behavioral patterns consistent with prior attack infrastructure
- Supervised learning attributes patterns to threat actors or known campaigns
- Flags infrastructure as high-risk, even without prior indicators of compromise (IOCs)
Predictive Prioritization
- Assess whether the infrastructure is likely to target your organization or vertical
- Provides PreIOCs with context for action, not just raw data
- Informs system hardening, rule tuning, and early response decisions
Trusted Intelligence Delivery
- Validated through customer telemetry, open-source intel, and commercial feeds
- False positive rate less than 0.01%
- Built for enforcement, not analysis paralysis, with blocklists and other intel pushed directly to your SIEM, SOAR, firewall, and EDR
Infrastructure Surveillance at Global Scale
Before malware drops and phishing emails land, adversaries must build infrastructure. This includes buying domains, shifting IP allocations, and modifying BGP routes. The Augur platform monitors and analyzes these early moves in real time. The Augur platform continuously tracks:
- Domain registrations and reuse patterns
- DNS resolutions and misconfigurations
- IP acquisitions and allocations
- ASN and hosting provider churn
- BGP announcements and route changes
These activities correspond to MITRE ATT&CK T1583 (Acquire Infrastructure), the earliest observable phase of attacker preparation. Augur turns these signals into predictions, identifying infrastructure likely to be weaponized.
Behavioral Modeling, Not Signature Matching
Where most solutions look for known IOCs, the Augur platform looks for behaviors. At its core is a multi-stage machine learning pipeline that uses unsupervised and supervised learning to profile infrastructure in the wild.
- Unsupervised clustering groups new infrastructure based on entropy, n-grams, character distributions, and passive DNS evidence and then maps it to known threat clusters or builds new ones.
- Supervised classification uses historical attack data to evaluate whether infrastructure matches patterns associated with previous campaigns.
This isn’t retroactive correlation. This is forecasting, at machine scale, with surgical precision.
Pre-Indicators of Compromise and Blocklist Generation
Most organizations rely only on known indicators of compromise. The Augur platform delivers high-confidence, previously undetected indicators that reveal attack infrastructure before it’s weaponized, with less than than 0.01% false positives. These signals are derived from attacker setup behavior before a payload is ever delivered. These signals include:
- IPs and CIDR blocks linked to attacker-controlled infrastructure
- Suspicious domains and subdomains with malicious staging patterns
- Infrastructure reuse across known campaigns
- Hosting patterns that signal offensive setup
These are the building blocks of malicious campaigns. Augur detects them before they go operational and blocks them cold.
Correlation and Real-Time Validation
Prediction alone isn’t enough. The Augur platform validates its intelligence by correlating predictions with internal telemetry across SIEM, firewall, and endpoint logs. When your environment communicates with a predicted IP or domain, Augur:
- Confirms intent and elevates the prediction to an active threat.
- Pushes enforcement actions automatically — no analyst intervention needed.
- Updates blocklists across enforcement points in real time.
This creates a feedback loop where predicted threats are validated or escalated, keeping your defenses proactive and adaptive.
Integrations: Built to Fit Your Stack
We designed the Augur platform for real-world environments where nobody wants to rip and replace, and everybody wants automation that doesn’t create more work. Our platform integrates directly with:
- SIEMs (e.g., Splunk, QRadar) to correlate early indicators of attack infrastructure with internal data.
- SOARs (e.g., Cortex XSOAR, Tines) for policy-based response.
- Firewalls and EDR (e.g., Palo Alto, CrowdStrike) for blocklist enforcement.
- Threat intelligence platforms for analyst visibility and enrichment.
Whether you want autonomous blocking or smarter alerting, the Augur platform plugs in cleanly with no vendor lock-in, bloated dashboards, or added headcount.
Outputs and APIs: What Augur Produces
Security teams don’t just want predictions, they want to see what they’re acting on and why. Augur provides a full suite of outputs, artifacts, and integration options.
Real-World Performance
When attackers build, Augur notices. Here's how that has played out well before headlines broke.
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The Augur platform’s performance isn't hypothetical, it’s operational. The platform shuts down thousands of malicious attempts every day, with fewer than 0.01% false positives.
You May Still be Wondering
You're asking the right questions. Here's what most technical teams want to know before deploying the Augur platform in the field and why the answers make them lean in, not walk away.
- What if we already have threat intelligence feeds? Keep them. Augur isn’t a feed — it’s a prediction engine. Use it upstream to eliminate threats before your feeds even fire.
- Can Augur work in alert-only mode? Absolutely. You define enforcement logic, thresholds, and review workflows.
- How do I know it won’t block something important? Augur allows exclusions, confidence-based thresholds, and sandboxed preview mode. You’re always in control.
- Can adversaries bypass it? They can try. However, behavioral patterns are difficult to mask at scale. Infrastructure reuse, IP behavior, and hosting churn don’t lie — and Augur’s models learn from every attempt.
Prediction is Power, and Augur Gives You the Upper Hand
If you’ve made it this far, you’re exactly who we built this for. You don’t want buzzwords. You want answers.
Augur gives you visibility upstream, enforcement downstream, and confidence all the way through. No hand-holding. No alert fatigue. Just a faster path to prevention.
About Augur
Augur is the cybersecurity kill switch that stops threats before they are launched. Trusted by leading financial institutions, global energy providers, and critical infrastructure operators, the Augur Predictive Threat Prevention Platform uses AI and behavioral modeling to identify malicious infrastructure before it’s weaponized — an average of 51 days before anyone else sees it. With cutting-edge behavioral modeling and a near-zero false positive rate, Augur delivers high-confidence threat predictions that enable security teams to act early, automate enforcement, and avoid disruptions, damages, and costly remediation. Learn more at www.augursecurity.com.
