Abstract: Embodiments disclose a honeyrepo implemented in a cybersecurity computing environment. A honey repository is configured for inclusion in a source control system by a detection and response server that is communicatively coupled to a continuous integration system that accesses a shared repository and has access to individual repositories of the source control system by generating a honey repository configuration package that includes decoy metadata to entice an attacker to initiate a request to access the honey repository. The honey repository configuration package that includes the decoy metadata is transmitted to the source control system to generate the honey repository and access to the source control system is monitored at the detection and response server. If an attacker initiates the request to access the honey repository, access is disabled for the attacker to the individual repositories of the source control system and the shared repository managed by the continuous integration system.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.