TRUEFORT SOLUTION
Managing Insider Risk
Attackers have excelled at tricking employees into allowing access to an organization via phishing, smishing, and other social engineering tricks. Once in, they look like legitimate users and search for a forgotten service account – giving them unrestricted access to move freely within the environment. TrueFort detects, monitors, and learns trusted connection patterns of users, applications, and service accounts.
Untracked service accounts are an attacker’s skeleton key
- Forgotten accounts are vulnerabilities – Old and orphaned accounts hide throughout servers and applications, their use going undetected.
- Automation expands service account usage – As these privileged accounts are needed and used at high volume, finding erratic behavior is difficult.
- UEBA solutions only understand user accounts – End users and automated machines behave in dramatically different ways when accessing key assets.
- PAM and IAM solutions lack behavior – Identity management solutions lack context on where, when, and how service accounts are being used and what they are authorized to do.
Preventing insider threats requires deep analysis and control of use
Enforce a zero-trust security model
Profile applications and service accounts to better understand what good, acceptable behaviors is, and never inherently trust anything
Empower real-time visibility
Map any applications, interactions, and users to create real-time detection and response of suspicious behavior to immediately kill unwanted actions when they stray from normal approved actions
Monitor file integrity
Automatically detect file changes and any drift resulting from malware, encrypted data, or attackers trying to cover their tracks as they operate through File Integrity Monitoring
Validate account relationships
Easily identify rotating and retiring service accounts before they are abused outside of where hardcoded or locally cached credentials exist. Understanding the interactions between applications and workloads means security teams can prevent downtime and compromise
Automate least privilege access
Enhance the identification, monitoring, and management of application service accounts to prevent business risks
FAQ
Microsegmentation is a security approach which helps administrators implement the principle of least privilege and Zero Trust for individual workloads. Instead of applying one policy to an entire network or data center, microsegmentation allows security to manage traffic between workloads or applications within a network. Security policies deny user requests by default unless they present the right credentials for the specific data they’re trying to access.
Microsegmentation may be used to isolate workloads in development, testing, and production, manage connections to specific applications, limit application visibility by user, user group, or tier, and apply fine-grained controls to specific software services and processes.
Microsegmentation plays an important role in reducing an organization’s attack surface because it gives security teams control over what lateral movement to permit in any environment. With this control, experts can monitor lateral movement against predefined security policies or against a model of expected application behavior, which improves the speed of detection, response, and remediation.
Microsegmentation makes it possible to implement granular control of network communications, credential usage, and approved behavior to help organizations minimize the impact of a cyber security incident, and solutions with automated application discovery will simplify security management even as networks grow increasingly complex.
Microsegmentation doesn’t require a new architecture for implementation. Security teams can deploy an agent-based solution which leverages software existing agents on the workload to isolate individual hosts and containers. Solutions can apply security policies based on physical and virtual devices, including load-balancers, switches, or software-defined networks. Some cloud service providers also offer microsegmentation capabilities.
Organizations will typically deploy both agent-based and network device models to handle all environments, including public or private cloud and on-premises networks. Solutions will use the visibility microsegmentation provides and data analytics to develop a model of normal network behavior against which anomalous events stand out for fast detection and response.
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