Learn how Hadrian helps security teams find, verify, and fix what attackers actually exploit.
Sense
Automating reconnaissance with hacker intuition
Start where the hackers start
Hadrian's offensive security platform starts where the attacker starts: the internet. The root cause of breaches has tripled in the last 2 years.
Hadrian performs continuous discovery, with scans typically running on an hourly basis or after an event-based trigger to maintain a complete inventory of the addressable scope.
Our discovery methods include traditional methods:
- non-invasive passive scans that continually monitor the IPv4 space
- DNS changes
- WHOIS records
- and certificate transparency logs to identify new domains.
These are enriched by our AI agents, such as Subwiz, that can predict forgotten subdomains, expanding the known attack surface by 20-50% alone.
Hunt shadow IT and extended assets
A successful Sense phase must eliminate blind spots by identifying assets that have bypassed formal IT processes. Hadrian uses a proprietary holistic approach to asset attribution by building an asset profile for the organization.
We leverage Machine Learning to confirm asset ownership by analyzing 32 categories of factors of the known attack surface and then scanning the internet for assets that match the profile.
This includes both technical (code fingerprinting) and non-technical (logos, brand colors) to identify Shadow IT. Hadrian provides enhanced visibility into edge and IoT devices as well as third-party SaaS applications.
These far-reaching discovery mechanics ensure you are not compromised by forgotten or shadow assets that pose an out-of-scope risk.
Holistic, far-reaching asset context mapping
Hadrian’s Sense phase transforms raw discovery data into security intelligence by building deep context and visualizing interconnections. This includes direct, cloud-native integrations with AWS, GCP, and Azure, with the inventory refreshed on the hour, every hour.
The continuous correlation of assets is displayed in Hadrian’s Asset Graph visualization, helping analysts see interconnection and understand the blast radius of a potential attack path.
Crucially, Hadrian uses machine learning to find look-alike domains used in phishing attacks that could harm your brand’s reputation and customers. In addition to that, Hadrian performs dark web monitoring for stolen credentials via malware infection on an edge device within a network.
Take the first step in the shoes of your adversary
Hadrian provides you with the hacker’s perspective on your internet-facing business to fortify your cybersecurity posture. Curious to know what they see?
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Leader del settore
Hadrian è stato riconosciuto come leader nel GigaOm Radar Report for Attack Surface Management per il secondo anno consecutivo e ha ricevuto il New Product Innovation Award di Frost & Sullivan per la gestione delle superfici di attacco esterne.
How does Hadrian perform asset inventory?
Hadrian performs asset inventory through a continuous, automated, and agentless process. Unlike traditional methods that rely on manual spreadsheets or periodic checks, Hadrian dynamically maps an organization’s entire digital footprint starting with a single domain or brand name.
What is event-based scanning?
Event-based scanning is a dynamic security testing approach where active vulnerability assessments are triggered by specific changes or "events" within an organization's environment, rather than relying solely on static, pre-scheduled batch scans.
How does Hadrian find shadow IT and hidden assets?
Hadrian uncovers Shadow IT and hidden infrastructure by combining broad internet scanning, cloud integrations, and proprietary AI to map the complete external attack surface. The platform moves beyond standard technical scanning by utilizing visual fingerprinting to link disparate assets to an organization, while predictive AI models identify unlisted subdomains and dynamic IP addresses. This continuous, event-driven process triggers immediate assessments upon detecting changes , ensuring that even forgotten environments, third-party SaaS applications, and misconfigured cloud resources are detected and validated in real-time.
How does Hadrian's 'Subwiz' AI predict hidden subdomains so effectively?
Hadrian’s Subwiz AI transcends standard dictionary attacks by employing machine learning to generate intelligent permutation alterations of wordlists based on analyzed naming patterns. This predictive approach identifies hidden subdomains absent from public records, which are then instantly validated through SanicDNS—a high-speed resolution tool operating 200 times faster than traditional alternatives. By combining AI-driven prediction with rapid validation, Subwiz uncovers over 10% more subdomains than conventional methods, effectively revealing Shadow IT and assets that evade standard detection.