HUMAN: BotGuard

Protect web and mobile applications from digital fraud and abuse

Description:

HUMAN is a cybersecurity company that collectively protects global enterprises and internet platforms from digital fraud and abuse. Sophisticated bots look and act like humans when they visit websites, fill out forms, take over accounts, scrape information, and commit payment fraud creating billions of dollars in losses for brands and consumers. We Stop Them.

HUMAN’S Human Verification Engine is powered by our Multilayered Detection Technology combining technical evidence, machine learning, threat intelligence, and continuous adaptation and solves top enterprise pain points through our product offerings.

BotGuard is HUMAN’s tool for protecting websites and applications against fraud and abuse, including account takeover attacks, credential stuffing, new account fraud, and web scraping. We detect sophisticated bot activity by verifying the humanity of interactions (like signups and logins) through continuous adaptation and machine learning. Mitigating the threat of bot attacks helps protect your users’ privacy, preserves your brand’s reputation, and grants transparency into would-be threats—without impacting your overall user experience.

Samples/Tables Included:
– HUMAN BotGuard reporting data: botguard_apps

Fields Included in transaction level view:
– customer_id: HUMAN’s customer id
– timestamp: Timestamp when event was received by HUMAN
– ct: Query parameters used to fetch HUMAN’s payload excluding c1 to c10
– custom: c1 to c10 query parameters used to fetch HUMAN’s payload
– app_mismatch: Whether the app id claimed by the user and detected by HUMAN matched or not (mobile only)
– detected_app_id: The app id detected by HUMAN (mobile only)
– asn: The ASN of the user’s connection
– asn_name: The ASN name of the user’s connection
– isp: The ISP of the user’s connection
– ua_os_name: The user’s operating system based on the user-agent
– ua_os_ver: The user’s operating system version based on the user-agent
– ua_browser_name: The user’s browser based on the user-agent
– ua_browser_ver: The user’s brower version based on the user-agent
– country: The user’s country
– bot: Whether the user is a bot or not
– ip: The user’s IP address
– action: The action recommended by the configured policies
– threat_categories: The threat categories detected
– threat_profile: The overall threat profile of the user based on the threat categories
– threat_categories_str: Description of the threat categories
– threat_profile_str: Description of the threat profile
– username: The username (interactive mode only)
– event_success: Whether the user attempt at the event was successful or not (interactive mode only)
– client_error: Whether there was a HTTP client error when the event was attempted (interactive mode only)
– server_error: Whether there was a HTTP server error when the event was attempted (interactive mode only)
– validation_error: Whether there was a validation error in the requests received by HUMAN (interactive mode only)
– user_exists: Whether the user exists or not (interactive mode only)
– pw_match: Whether the user entered the correct password or not (interactive mode only)
– ua: The user-agent (interactive mode only)
– endpoint: The endpoint the user accessed (interactive mode only)
– app_id: The claimed app id (interactive mode only) (mobile only)
– device_id: The dv value (interactive mode only)
– cookie_id: The cookie id (interactive mode only)
– device: The device type of the user based on the user-agent (mobile only)
– platform: The user’s platform
– policy_name: The policy that was applied (interactive mode only)
– rule_label: The policy label that was applied (interactive mode only)
– url: The URL of the iframe or page the user was on
– api_request: Whether there was an interactive request or not
– event_name: The event attempted by the user
– domains: Referrer domain, top level domain and other domains detected
– iab_spider: Whether this is a known spider/crawler or not

Example Use Case: View breakdowns of valid, non standard and bot traffic by origin geography, threat profile and the threat factor observed. Then leverage this information to identify, monitor and mitigate threats to your web applications.

About the Provider:

HUMAN is a cybersecurity company that protects enterprises from bot attacks to keep digital experiences human. We have the most advanced Human Verification Engine that protects applications, APIs and digital media from bot attacks, preventing losses and improving the digital experience for real humans. Today we verify the humanity of more than 10 trillion interactions per week for some of the largest companies and internet platforms. Protect your digital business with HUMAN. To Know Who’s Real, visit http://www.humansecurity.com.

Visit the provider’s website for more

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