One Identity Safeguard vs Splunk User Behavior Analytics comparison

One Identity Safeguard is an integrated system that combines a secure, toughened password safe and a session management and monitoring solution with threat detection and analytics into one integrated solution. It stores, manages, records, and analyzes privileged access in a secure manner.

One Identity Safeguard Features

One Identity Safeguard has many valuable key features. Some of the most useful ones include:

• Policy-based release control: Seek access and approve privileged passwords and sessions using a secure online browser that supports mobile devices. Depending on your organization's policies, requests can be authorized immediately or require dual/multiple approvals. You can set One Identity Safeguard to match your personalized needs, whether your policies consider the requestor's identity and level of access, the time and day of the request attempt, and/or the specific resource requested. You can also enter reason codes and/or connect to ticketing systems.
  
  
• Vault for personal passwords: In a free personal password vault, every one of your employees can keep and generate random passwords for non-federated business accounts. This allows your company to use a sanctioned tool to securely share and retrieve passwords, giving you much-needed security and visibility into your company's accounts.
  
  
• Auditing, recording, and replaying entire sessions: All session activity is collected, indexed, and kept in tamper-proof audit trails that can be viewed like a video and searched like a database, down to the keystrokes, mouse movements, and windows viewed. Security teams can search across sessions for certain events and play the recording from the exact point where the search criterion happened. For forensics and compliance purposes, audit trails are encrypted, time-stamped, and cryptographically signed.
  
  
• Approval in any location: Approve or refuse requests from anywhere, using One Identity Starling Two-Factor Authentication, without having to connect to a VPN.
  
• Instantly on: Safeguard for Privileged Sessions can be implemented in a transparent manner, with no changes to user workflows required. Safeguard, when acting as a proxy gateway, can act as a network router, unseen to both the user and the server. Admins can continue to use their normal client programs and access target servers and systems without disrupting their everyday routine.
  
  
• Biometrics of user behavior: Even when performing identical operations like typing or moving a mouse, each person has his or her own unique pattern of behavior. These behavioral characteristics are examined by the Safeguard algorithms. Keystroke dynamics and mouse movement analysis aid in the detection of security breaches while also acting as a continuous biometric authentication system.
  
  
• Favorites: Right from the login screen, quickly access the passwords you use the most. You can combine many password requests into a single favorite, allowing you to log into all of your accounts with a single click.
  
  
• Discovery options: With host, directory, and network-discovery options, you can quickly find privileged accounts or systems on your network.

Reviews from Real Users

One Identity Safeguard stands out among its competitors for a number of reasons. Two major ones are its stability and its connection control. PeerSpot users take note of the advantages of these features in their reviews:

One PeerSpot reviewer, a Software Solutions Architect at a computer software company, writes, “I have found the most useful feature of One Identity Safeguard to be Privileged Sessions. One Identity Safeguard is a stable solution.” He adds, “I rate One Identity Safeguard a nine out of ten.”

Walid S., Networking and Security Engineer at a tech services company, mentions of the solution, “We deployed it into our company for controlling a client's behavior in our data center. It is very useful to control their connections, such as RDP.”

Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.