Adopting a Risk-Based Approach to Identity and Access Management and Governance
Identities are traditionally managed using dedicated identity and access management (IAM) and identity governance and administration (IGA) solutions. This made sense when enterprise applications were in on-premises data centers. However, enterprise application data today rests in on-premises and cloud datastores. With multiple access privileges to manage for each user across a multitude of applications, organizations struggle to keep their access-related risk in check.
According to the 2019 Verizon Data Breach Investigations Report, 29% of breaches involved the use of stolen credentials. However, according to the Cisco 2019 CISO Benchmark Study, only 19% of CISOs report encountering a security incident involving stolen credentials.
Keeping track of access permissions and activities conducted within applications and establishing a security context based on that information is a big problem for IT security. Realizing that IAM and IGA tools do not have the native capabilities to tackle the challenge, organizations are turning to data-driven solutions that use advanced analytics to identify and monitor access risk while transforming compliance-driven processes with risk intelligence.
Identity Analytics and Intelligence: Data-Driven Risk-Based Access Management
Identity analytics and intelligence is a better, smarter solution to dynamically manage access decisions as well as intelligently identify and manage user risk profiles based on application usage. This reduces the manual effort required and increases the pace and accuracy of security operations.
To address this challenge, Securonix Next-Gen SIEM applies advanced behavior analytics to identity usage and access patterns in data collected from your IAM solution. This enables the creation of risk profiles for user behaviors, which can be used by the IAM solution to make dynamic, informed access decisions. The integrated SIEM and IAM solution delivers advanced identity analytics and intelligence capabilities, enabling several use cases that are otherwise difficult for IT security teams to manage.
Identity analytics and intelligence is a better, smarter solution to dynamically manage access decisions as well as intelligently identify and manage user risk profiles based on application usage. It reduces the manual effort required and increases the pace and accuracy of security operations.