Rapid7, Inc.

Ashwin Anand

Barry Curran

Jared Frankston

Luke Milby

Ralph McTeggart

Ryan Edwards

Mark McKinless

Christopher Dowey

Ceara McCurdy

Jun Qian

Disclosed herein are methods, systems, and processes to configure and facilitate selective and granular multi-customer support access in cloud-based cybersecurity computing environments. A request to authorize a multi-customer support account (MCSA) is received. Customer accounts that include an anchor tenant customer account and several secondary tenant customer accounts as well as a set of applications associated with the customer accounts are identified. The MCSA is configured to selectively access customer accounts and granularly access associated applications by being designated with a set of varying access limits for the anchor tenant customer account and another set of varying access limits for the secondary tenant customer accounts, each set of varying access limits being made applicable to various instances of applications associated with each of those customer accounts. The designation further restricts a subsequently modifiable access time of the MCSA at least at a client-level, an application level, and a feature-level. The request to authorize the MCSA is then approved.

Selective and granular multi-customer support access

Disclosed herein are methods, systems, and processes for facilitating security orchestration, automation, and response (SOAR) in cybersecurity computing environments that use biometric data or implement biometric data gathering. An instruction is periodically transmitted to a protected computing device to perform a security scanning operation that captures biometric data generated from a biometric device associated with the protected computing device. The biometric data received from the protected computing device includes a biometric identity of a trusted user or an untrusted user. A security database is accessed to determine whether the biometric identity matches a stored biometric identity of the trusted user. A security workflow that includes orchestrated security operations configured to identify the untrusted user and to prevent the untrusted user from accessing the protected computing device if the biometric identity does not match the stored biometric identity is generated and transmitted to the protected computing device. A confirmation is received from the protected computing device that the orchestrated security operations have been performed.

Orchestrating security operations using bifurcated biometric data

Security workflows to mitigate vulnerabilities in biometric devices

Security orchestration and automation using biometric data

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Acton, MA, United States of America

Ashwin Anand