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Discover Every Attack Vector Before Adversaries Do

ZeroFox automates continuous detection using advanced AI to unify brand, executive, asset, dark web, and physical risk intelligence into a single view of your risk landscape.

Discover Every Attack Vector Before Adversaries Do

Attackers Exploit What You Can't See

Threat actors weaponize blind spots across synthetic media, brand impersonations, forgotten assets, and credential leaks. Security teams chase alerts in silos while adversaries continuously map your full attack surface. Without advanced AI discovery, critical exposures stay hidden until exploited. ZeroFox reveals what others miss. 

AI-Driven Attacks Are Accelerating

%

of phishing emails used AI in 2025 1

%

of orgs experienced deepfake attacks in 2025 2

%

increase in credential theft in 2025 3

Automated Digital Asset Discovery

Automated digital asset discovery brings together ZeroFox’s full intelligence capabilities. Correlated insights reveal how cyber, brand, executive, asset, and physical risks intersect.

Cyber Threat Intelligence

Surface, deep, and dark web intelligence detects leaked data and active threats early.

Brand + Domain Protection

Continuous monitoring detects phishing, fraudulent domains, brand abuse, financial scams, deepfakes, and synthetic media misuse.

Executive and VIP Protection

Targeted insights uncover deepfakes, impersonation, doxxing, and location-based risks to leadership.

Attack Surface Intelligence

Continuous discovery maps exposed domains, IPs, cloud services, shadow IT, and misconfigurations across your digital footprint.

Physical Security Intelligence

Exposes location-based dangers, high-risk events, supply chain disruptions, and emerging real-world threats.

How ZeroFox Automates Discovery

ZeroFox never stops finding, mapping, and monitoring everything connected to your organization. Domains, subdomains, IPs, social accounts, executive profiles, exposed credentials, cloud services, misconfigurations, expired hostnames, and forgotten infrastructure are continuously discovered using adversary-style reconnaissance.

ZeroFox Intelligence continuously scans the surface, deep, and dark web using attacker techniques to uncover leaked credentials, adversary infrastructure, and exposed data tied to your organization. Correlation across findings detects active threat campaigns before they impact your business.

The ZeroFox Advantage

B

data points
correlated daily

M

domains/URLs
scanned daily

M+

digital asset protected annually

Why ZeroFox Leads in Advanced Discovery

ZeroFox uncovers threats across the digital landscape with unmatched depth, speed, and accuracy:

Sec Ops Investigation

Continuous Discovery

Never stops mapping your digital footprint as it changes.

Strategy

Cross Surface Mapping

Connects previously hidden relationships between threat vectors.

Vulnerability Investigation

Adversary-Style Reconnaissance

Applies ethical attacker techniques to find blind spots before adversaries exploit them.

GDN

AI-Powered Detection

Uses advanced AI to detect impersonation, synthetic media, and emerging attack patterns that others miss.

Dark Web Protection

DarkOps & HUMINT

Embedded intelligence teams monitor closed and underground channels to discover emerging threats early.

Verified Profile

Human-Validated Alerts

Experts verify detections to ensure high true positives and reduce alert fatigue.

Frequently asked questions

ZeroFox uses continuous adversary-style reconnaissance to find assets the same way attackers do. Advanced AI scans the surface, deep, and dark web to identify domains, subdomains, cloud services, social accounts, mobile apps, credentials, and infrastructure that may not appear in internal inventories. This includes inherited, affiliated, and abandoned assets that remain connected to your organization.
AI is embedded throughout the discovery process. Computer vision, natural language processing, and machine learning models analyze text, images, video, and infrastructure patterns at scale. These models allow ZeroFox to identify risk even when attackers intentionally alter names, visuals, or language to evade detection.
ZeroFox uses computer vision models trained on your visual identity to detect logo usage, design similarities, and brand elements across social platforms, websites, marketplaces, and ads. This allows discovery of impersonation accounts, fraudulent campaigns, and counterfeit activity even when brand names are not used in text.
AI models analyze facial features, visual artifacts, voice patterns, and behavioral signals across images, video, and audio. These detections surface deepfake content, face swaps, and synthetic personas targeting executives or brands, including content designed to appear legitimate at first glance.
Natural language processing analyzes posts, profiles, comments, messages, and long-form content across multiple languages. NLP identifies impersonation intent, fraud narratives, social engineering patterns, and emerging threats that keyword searches miss. This enables early discovery of coordinated abuse and scam activity.
ZeroFox correlates multiple signals to establish ownership and relevance. This includes logo similarity, facial matching, text analysis, domain registration data, infrastructure fingerprints, hosting relationships, and behavioral patterns. Each discovery includes evidence showing how the asset connects back to your organization.
An evidence-based discovery path shows exactly how an asset was found and why it matters. This includes the signals used for detection, the relationships that tie the asset to your organization, and supporting intelligence. This transparency helps teams trust findings and act quickly.
AI models are trained to prioritize relevance and context, not volume. Multiple detection signals must align before an asset is surfaced as connected. This reduces false positives and ensures teams focus on assets and exposures that truly matter.
  • [1] Report: 82% of Phishing Emails Used AI, Security Today, 2025
  • [2] Gartner Survey Reveals Generative Artificial Intelligence Attacks Are on the Rise, Gartner, 2025
  • [3] Credential Theft Has Surged 160% in 2025