predictive threat intelligence
preemptive
cybersecurity
Stop attacks before weaponization
request TrialTraditional 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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2025
SALESFORCE / SALESLOFT
21 days
Identified 16 IPs associated with the OAuth token compromise
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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
"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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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.
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.
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.
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.
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.
Augur creates threat intel before the attack. Traditional threal intel reports were only showing the past. Augur in activily blocking thousands of malicious connection attempts daily, well ahead of our threat intel sources.
John Shaffer
CIO and CISO,
Greenhill & Co.
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 Information Security Officer,
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,
SentinelOne
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.
The best innovations don't just improve the present — they anticipate the future. The future of security is here — let's build it together
With Augur we use AI to uncover the hidden patterns of cybercriminal behavior and predict cyber threats before they emerge.
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
VP of Threat Research,
Augur
Why is your current threat intel practically defenseless against AI-driven attacks?
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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.
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
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.
Traditional Cybersecurity
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
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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