predictive threat intelligence

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preemptive
cybersecurity

Stop attacks before weaponization

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Traditional security reacts after compromise, and legacy threat intelligence fails against AI-powered attackers. As the pioneer of Predictive Threat Intelligence, Augur uses global internet telemetry and behavioral analysis to neutralize malicious infrastructure weeks before attacks are launched.

preempted attacks

Augur analyzes early-stage attacker infrastructure signals across global internet telemetry. This allows the platform to identify infrastructure associated with major cyber attacks months, or even years, before patient zero and industry awareness.

These attacks made headlines. Augur blocks tens of thousands more every month.

lead time

event

description

2026

ShinyHunters

90+ days

Tracked over 6 years identifying and blocking 65+ IPs involved in major campaigns to exploit Salesforce and Snowflake

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SCATTERED SPIDER

300 days

Identified and blocked key infrastructure ahead of major ransomware campaign

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IRAN TARGETs CRITICAL INFRASTRUCTURE

201 days

Identified key IPs before operational activity, as reported in Security Week and confirmed by CISA

‍Learn more

2025

SALESFORCE / SALESLOFT

21 days

Identified 16 IPs associated with the OAuth token compromise

Learn More

Taiwan Semiconductor Sector

365 days

Identified and blocked spear-phishing infrastructure

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Microsoft SharePoint

365 days

Predicted and preempted IPs core to Remote Access (ToolShell) attack

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2024

Snowflake

1000 days

Identified and blocked infostealer infrastructure (attributed to UNC5537)

2023

MOVEit

425 days

Identified and blocked key IPs related to the supply chain attack

2021

Apache LOG4j 

90 days

Identified remote code execution infrastructure, blocking key payload delivery IPs

Colonial Pipeline 

395 days

Predicted and blocked IPs associated with first ransomware attack to shut down critical economic infrastructure

2020

SolarWinds

244 days

Identified key C2 elements of Sunburst Malware used against Solarwinds

see how predictions are generated

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preempted attacks

Augur analyzes early-stage attacker infrastructure signals across global internet telemetry. This allows the platform to identify infrastructure associated with major cyber attacks months, or even years, before patient zero and industry awareness.

These attacks made headlines. Augur blocks tens of thousands more every month.

2026
Iran Targets Critical Infrastructure
Iran Targets Critical Infrastructure

Identified key IPs before operational activity, as reported in Security Week and confirmed by CISA.

Learn More
201 Days
Scattered Spider
Scattered Spider

Identified and blocked key infrastructure ahead of major ransomware campaign

Learn More
300 Days
Microsoft WIN-Hostname
Microsoft WIN-Hostname

Spotted 104 anomalous clusters of cloned VMs and blocked 49K IPs months ahead of attacks

Learn More
90+ Days
Shiny Hunters
Shiny Hunters

Tracked over 6 years identifying and blocking 65+ IPs involved in major campaigns to exploit...

Learn More
90+ Days
North Korean IT Worker Scam
North Korean IT Worker Scam

Tracked and blocked infrastructure tied to Temp. Hermit, UNC2970, Lazarus Group since 2017

Learn More
1,000+ Days
2025
Microsoft Sharepoint
Microsoft Sharepoint

Predicted and preempted IPs core to Remote Access (ToolShell) attack

Learn More
365 days
Taiwan Semiconductor Sector
Taiwan Semiconductor Sector

Identified and blocked spear-phishing infrastructure

Learn More
Sector 365 days
Salesforce / Salesloft
Salesforce / Salesloft

Identified 16 IPs associated with the OAuth token compromise

Learn More
21 days
2024
Snowflake
Snowflake

Identified and blocked infostealer infrastructure (attributed to UNC5537)

1000 days
2023
MoveIt
MoveIt

Identified and blocked key IPs related to the supply chain attack

425 days
2021
Colonial Pipeline
Colonial Pipeline

Predicted and blocked IPs associated with first ransomware attack to shut down critical economic infrastructure

395 days
Apache LOG4J
Apache LOG4J

Identified remote code execution infrastructure, blocking key payload delivery IPs

90 days
2020
Solarwinds
Solarwinds

Identified key C2 elements of Sunburst Malware used against Solarwinds

244 days

"Product leaders who fail to invest in preemptive cybersecurity capabilities risk career-impacting cyber incidents and the potential for damaging market share losses within the next two to four years."

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How
Augur Works

By monitoring BGP activity, DNS resolution, domain registration, and IP space changes, Augur continuously processes more than 3 terabytes of global internet telemetry daily.  Augur augments that data with additional intelligence from , spam traps, sinkholes, malware sandboxes, honeypots, and curated intelligence sources. Machine learning models identify infrastructure patterns associated with attacker behavior before malicious campaigns are launched.

Augur combines unsupervised clustering, behavioral analysis, supervised attribution models, and patented predictive infrastructure analysis to identify unknown malicious infrastructure with near-zero false positives (0.007%).

global telemetry
collection

Augur continuously analyzes more than 3 terabytes of global internet telemetry daily, including BGP activity, DNS resolution, domain registration, and changes in the IP space.

ML Clustering & Anomaly Detection

Augur's machine learning models identify infrastructure patterns associated with attacker behavior before malicious campaigns are launched.

Comparative Threat
Analysis

Augur's threat attribution models correlate infrastructure to known attacker behaviors by augmenting global telemetry with additional intelligence from spam traps, sinkholes, malware sandboxes, honeypots, and curated intelligence sources.

Automated
Defense

Continuously updated predictive blocklists and automated takedown actions operationalize autonomous enterprise defense.

The Augur Knowledgebase continuously maps attacker infrastructure relationships and historical attribution patterns.

See Predictive Intelligence in Action Across Real Infrastructure Data

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Augur MCP
Server: Native Intelligence
for AI Agents

The Augur MCP server isn't a wrapper; it calls directly into Augur’s response and evidence layers. It features predictable response shapes, strict input validation, and controllable pagination designed to keep LLM payloads focused and token-efficient.

The server remains token-scoped and entitlement-aware, mirroring the exact access permissions of your existing REST API licenses while keeping open datasets (CVE and breach tools) unauthenticated.

Indicator
Lookup

Execute single or batch lookups (up to 100 indicators per call) across IPs, domains, hostnames, file hashes, ASNs, CIDR blocks, and URLs.

Indicator
Search

Run full-text keyword searches backed by OpenSearch and MongoDB fallback to hunt the corpus by threat actor, malware family, or machine learning prediction.

CVE
Research

Perform keyword, vendor, and product-based searches to power immediate exposure assessment, patch prioritization, and threat-to-vulnerability correlation without authentication friction.

Pivot &
Association

The core autonomous pivot capability. Allows an LLM agent to follow the thread from a single alert or suspicious hostname, expand to netblocks, and surface related campaign footprints and adversary tradecraft.

platform modules

Extend the Augur Preemptive Cybersecurity Platform with specialized modules designed to operationalize distinct security domains: malicious infrastructure investigation, phishing prevention, and credential exposure defense within a unified intelligence architecture.

Augur
Investigate

Augur Investigate enables analysts to explore, validate, and act on malicious infrastructure in real time through infrastructure visualization, enrichment, investigative pivoting, and threat hunting enrichment.

Augur Investigate is focused on infrastructure analysis and adversary mapping rather than phishing or credential exposure use cases. 

Explore Augur Investigate

Augur Brand
protection

Augur Brand Protection detects phishing domains at registration and correlates them to attacker infrastructure and campaigns before they scale, enabling early-stage campaign disruption and automated enforcement.

Brand Protection is focused specifically on phishing and brand impersonation infrastructure detection.

Explore Brand Protection

Augur Leaked
credentials

Leaked Credentials identifies exposed employee, partner, and customer credentials in emerging breach and attacker environments before they are weaponized, supporting preemptive response and account-risk reduction.

Leaked Credentials is focused specifically on credential exposure and account compromise risk.

Explore Leaked Credentials

Trusted by Cybersecurity Visionaries

Post Content
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While most of the industry just waits for signs of compromise, Augur uses AI to identify malicious infrastructure during setup, months before it’s used, and proactively optimizes defenses per these learnings. That’s not just intelligence. It's foresight in action.
Curtis Simpson
Chief Strategy Officer (CSO) | 25 Year Security & Tech Veteran,
Armis
Augur is the only cybersecurity platform using AI to reliably predict, decide, and act —stopping threats before they start. Today’s SOCs don’t need more alerts; they need the ability to act without slowing down and stay ahead of cybercriminals, and that’s exactly what Augur provides.
Nick Padron
Director of Information Security,
Fairfield Residential
Augur reflects the best of innovation in cybersecurity today. The team, the pedigree, and the novelty of their solution are a winning combination. Augur is already on the ascent, poised for rapid growth and expansion.
Ely Kahn
Chief Product Officer,
Okta
By the time traditional threat intelligence reacts, it’s already too late. An attack has occurred, there are victims. With Augur’s deep analytics based insights and predictions, you can proactively protect your business before the attacks even happen.
James Carder
Chief Security Officer & CIO,
Benevity
We’ve been early believers in predictive threat prevention at Vodafone Oman. Using AI to anticipate attacks months before they happen is no longer just a futuristic idea — it’s real, and it’s working.
Jaifar Al Mamari
Head of Cyber Security,
Vodafone Oman
Our clients are leaders in the industry who found traditional threat intelligence too slow, too reactive, and too predictable. Augur helps clients rewrite the playbook — by using AI to detect cyber threats before they even begin.
Saeed Abu-Nimeh
Founder & CTO,
Augur
The best innovations don't just improve the present — they anticipate the future. The future of security is here — let's build it together
Joe Lea
CEO,
Augur
When I served as Director Threat Management at ADP, Augur provided my team with intelligence related to the MOVEit breach infrastructure 9 months before the attack. I joined Augur because I want to give my fellow security leaders a strategic edge in stopping threats before they materialize.
Loucif Kharouni
SVP R&D,
Augur

Preemptive Defense vs. Legacy Threat Intelligence

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Why is your current threat intel practically defenseless against AI-driven attacks?

Because legacy feeds are built for a human-paced threat landscape. Waiting for a post-compromise indicator means you’ve already lost. Augur’s Preemptive Cybersecurity platform shifts your defense from reactive cleanup to automated, predictive prevention.

Block adversaries weeks before they strike.

How do you defend against AI-powered threats while cutting your security budget?

By stopping the payment for reactive noise. Augur completely displaces the cost of disconnected legacy feeds, manual pivoting tools, and custom wrappers. We deliver native, predictive intelligence directly into your existing stack.

Reduce analyst burnout and consolidate your vendor spend.

what makes augur different

Augur combines preemptive data orchestration, infrastructure attribution, and enforcement automation in a unified preemptive security platform built for modern enterprise defense. Unlike legacy point solutions and threat intelligence providers that rely on post-compromise detection and reactive monitoring, Augur empowers organizations to block malicious vectors before the attack even begins, delivering comprehensive security across your brand, supply chain, and network architecture.

The continuously updated Augur Knowledgebase tracks more than 12 million threat-linked IPs and expands daily through global telemetry analysis and machine learning-driven infrastructure attribution.

3 tb

global internet telemetry analyzed daily

12m+

threat-linked ips mapped to attack infrastructure

7 weeks

Average lead time over traditional threat intelligence

0.007%

near-zero false positive infrastructure prediction rate

4.5m

unique ips added in 2025

20%

yoy intelligence growth

423,000

Emerging threats identified in 2025

See Why Enterprises Shift to Preemptive Security Models
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the augur preemptive cybersecurity platform

Most threat intelligence platforms distribute indicators after attacks are already active. Augur identifies malicious infrastructure before it appears in traditional feeds by analyzing global routing behavior, DNS relationships, infrastructure clustering, spam traps, honeypots, malware telemetry, and attacker operational patterns.

Continuously updated predictive intelligence is operationalized through APIs, blocklists, EDLs, and autonomous enforcement workflows integrated directly into enterprise security stacks including SIEM, SOAR, EDR, firewall, proxy, and cloud security systems.

Identify and neutralize never-seen-before malicious infrastructure prior to weaponization.

Integrate directly with AI agents using native MCP to automate threat research.

Integrate directly into SIEM, SOAR, EDR, firewall, proxy, and email security stacks.

Automate blocking and takedowns through enforcement workflows.

Investigate attacker infrastructure in real time.

Enable preemptive brand protection.

Identify leaked credentials before exploitation.

See Why Enterprises Shift to Preemptive Security Models

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preempt attacks before they happen.

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Traditional Cybersecurity

Reactive
Security
Model

Threat Emergence

Attack is already underway

detection

Manual monitoring and alerting

manual triage

Human review required at every step

remediation

Damage has already occurred

post-attack analysis

Lessons learned after the fact

Traditional cybersecurity responds to threats -
always one step behind

VS
Augur Preemptive Cybersecurity
Model

infrastructure identification

Track attackers before initial access

predictive assessment

Profile attackers and enrich with historical patterns. 

automated workflow blocking

API integrations to existing network and security controls 

attack surface mitigation

Continuous hardening, not one-time fixes

continuous feedback loop

Every cycle makes the next one smarter

Augur anticipates threats - always one step ahead

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© 2026 Augur Security, Inc.

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See Malicious Infrastructure Before It Becomes an Attack

Traditional cybersecurity reacts after attackers deploy infrastructure, weaponize domains, or compromise environments, relying on post-compromise indicators, reactive threat feeds, and detection-based security models. Augur identifies malicious infrastructure before weaponization using predictive threat intelligence built from global internet telemetry, infrastructure attribution modeling, and machine learning-based behavioral analysis of attacker infrastructure across DNS, BGP, and hosting signals.In 2025 alone, Augur identified more than 423,000 emerging threats with an average lead time of 7 days ahead of traditional intelligence sources and a false-positive rate of just 0.007%.

Request a trial of Augur to see how far ahead your security team could be operating.

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