Detect and remove excessive access permissions
Ideally, users should have access to only resources (servers, directories, applications, or services) applicable to their job roles. However, many users tend to have excessive permissions due to various reasons.
It might be because they were promoted, switched roles, or were granted a special permission to carry out a specific task. With identity analytics, all access privileges are reviewed based on the user behavior and application usage patterns. Profiles with excessive access permissions are instantly flagged, and subject to quick removal of any unnecessary access privileges.
Risk-based access certifications
In today's organizations, many users tend to have excessive access privileges. But manually reviewing each of these privileges is time-consuming, and can lead to quick, rubber-stamped approvals that overlook potential security concerns.
Identity analytics tools provide contextual risk scores for each user based on various sources, such as user behavior, application usage data, and peer group analysis. Some tools even offer entitlement-level risk scores. Identity analytics tools can be configured so that managers are notified only about high-risk user profiles. This drastically reduces the time managers have to spend with certification campaigns. Since most identity analytics tools provide a context-rich consolidated view of an user's entitlement data collected from multiple systems and applications, managers can perform more effective certifications.
Enhanced security and monitoring of privileged accounts
There are two major types of privileged accounts that can be found in organizations: One is used by applications or system processes to interact with the operating system (aka service accounts), and the other is the various user accounts that have administrative privileges. Cybercriminals target these accounts as they provide easy access to an organization's sensitive information.
With identity analytics tools, you can swiftly uncover unused privileged entitlements and spot changes in privileged accounts, such as privilege escalation and credential sharing attempts.
Identity analytics tools leverage User Behavior Analytics (UBA) to detect such unusual user actions. UBA applies ML techniques to create a baseline of normal activities specific to each privileged account, then detect deviations from the established baseline and, finally, provide alerts to the concerned personnel. Consider when a user account in Active Directory (AD) is given only one administrative privilege when it is provisioned. If this account suddenly accumulates multiple privileges, like resetting passwords, modifying owners, deleting child objects, etc. then UBA will detect these abnormal activities and flag the account as suspicious. Identity analytics tools enable IT administrators to configure automated responses, like temporarily disabling access, when unusual activities are detected.
Detection of separation of duty violations
Separation of duty (SOD) is an internal security policy that ensures no single individual has complete control of over an entire resource or process. For instance, developers shouldn't have admin privileges to production databases because, if a developer alters the source code and the program becomes unstable, future patches and security updates won't work. SOD violations occur when user accounts have conflicting access permissions.
They pose a security threat because it means there are individuals in the organization who can tamper with data without being detected.
Identity analytics tools can automatically disable access to an account when an SOD violation has been detected, and notify the IT security team. Identity analytics tools ensure SOD violations are swiftly detected, and the reason behind each violation uncovered. Managers will have better visibility into the account entitlements and access permissions of users. Improved visibility helps managers make better decisions when it comes to access requests.
Adaptive authentication to reduce risk
Multi-factor authentication (MFA) requires a user to verify their digital identity by authenticating themselves with least two factors other than their user credential.
Though the added layers of verification enhance security, an organization-wide MFA usually presents an authentication burden for users who are already inside a secure network, and can affect user experience and productivity.
Adaptive authentication solutions perform real-time user risk assessments, and prompt users to provide an additional authentication factor only if their perceived risk is high. With adaptive authentication, organizations can improve security without compromising on usability.
Mitigate access-related risks in your AD and Azure AD environments, and better protect your identities with the identity analytics capabilities of ManageEngine AD360.