Quest Change Auditor vs. Darktrace / IDENTITY

Quest Change Auditor is an IT auditing, vulnerability monitoring, and security threat detection platform designed for Active Directory and hybrid Microsoft environments. It provides real-time visibility into important user, administrator, configuration, and authentication changes to help organizations identify potentially malicious activity and investigate security incidents. Change Auditor extends monitoring across Active Directory, Azure AD, Office 365, Windows Server, Exchange, SQL Server, network-attached storage, SharePoint, and OneDrive for Business. The platform detects indicators of compromise across AD and Azure AD while auditing suspicious activity across file servers, Office 365, and Exchange to identify attackers that may already be operating within the network. It can also monitor lateral movement and post-attack activity to provide security teams with additional context about the progression of an intrusion. Preventive controls can block unauthorized changes to critical groups, Group Policy settings and links, sensitive mailboxes, and the Active Directory database regardless of privileges an attacker has compromised. Built-in alerts identify indicators of compromise, while exposure assessments help organizations uncover vulnerabilities across Active Directory, Azure AD, and authentication activity. Change Auditor can detect common Kerberos authentication weaknesses associated with Golden Ticket and Pass-the-Ticket attacks and can send critical change and pattern alerts to email and mobile devices. Its auditing engine captures change information without depending solely on system-provided audit logs and converts events into normalized records showing who changed what, when, where, from which workstation, and the relevant before-and-after values. Threat timelines and related searches connect individual changes with surrounding events to support forensic analysis and security incident response.

Darktrace / IDENTITY offers a sophisticated defense solution against identity threats, harnessing the power of AI to combine proactive risk management with immediate detection, in-depth investigation, and self-sufficient responses across diverse IT landscapes. It boasts seamless integration with single sign-on platforms and Active Directory, which provides a thorough view of user interactions by monitoring access and behaviors post-authentication across cloud, SaaS, hybrid, and on-premises environments. By employing Self-Learning AI, the technology conducts millions of calculations using real-time information to determine baseline behaviors for users, devices, applications, service accounts, and other identities, enabling it to identify subtle irregularities that may indicate problems such as account takeovers, credential theft, session-token misuse, insider threats, lateral movement, or data breaches. Furthermore, Peer Group Analysis highlights behaviors that diverge from those of similar users, while Credential Theft Monitoring combines human expertise with the swift analytical power of AI. This comprehensive strategy significantly strengthens the security framework by tackling potential threats proactively, thus preventing them from developing into more severe breaches. Ultimately, the ability to adapt and learn from emerging patterns ensures that organizations remain a step ahead in combating identity-related risks.