What is Anomaly Detection Software ?Anomaly detection is defined as the identification and determination of details about the occurrence of an unusual pattern that does not conform to the expected behavior. The occurrence of anomalies is a rare event, however, when it occurs, it may signify a large and significant threat, such as data theft, fraud, and cyber intrusion. An anomaly is classified into network-based anomaly and user behavior-based anomaly. Network-based anomalies are the unusual patterns observed during the monitoring of network traffic. The user behavior-based anomaly detection software detects threats or unusual behaviors of users with the help of statistical analysis and algorithms.
360Quadrants recognizes the below-listed companies as the best Anomaly Detection Software -
Top 10 Anomaly Detection Software in 2020:
- IBM CORPORATION
- SYMANTEC CORPORATION
- SAS INSTITUTE INC
- FLOWMAN OY
- DELL INC
- TREND MICRO INCORPORATED
- WIPRO LIMITED
Visionary leaders are the leading market players in terms of new developments such as product launches, innovative technologies, and the adoption of growth strategies. These players have a broad product offering that caters to most of the regions globally. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and their well-established brand equity.
Dynamic Differentiators are established players with very strong business strategies. However, they have a weaker product portfolio compared to the visionary leaders. They generally focus only on a specific type of technology related to the product.
Innovators in the competitive leadership mapping are vendors that have demonstrated substantial product innovations as compared to their competitors. The companies have focused on product portfolios. However, they do not have very strong growth strategies for their overall business, when compared with the visionary leaders.
Emerging companies have niche product and service offerings. Their business strategies are not as strong as that of the established vendors. The emerging vendors include the new entrants in the market, emerging in terms of product portfolio and geographic reach, and require time to gain significant traction in the market.
Best Anomaly Detection Software in 2022
Rapid7 InsightIDR is a fast-to-implement cloud-based SIEM designed to rapidly identify complex attacks. It combines data from AWS sources like CloudTrail and GuardDuty, all together with information from on-premises networks, endpoints, and other cloud platforms. It engages User Behavior Analytics (UBA), industry-leading threat intelligence, and automated workflows to help security teams discover and examine threats in AWS environments and across the organization’s entire IT footprint.
Aqueduct Technologies provide advanced security as a solution in which anomaly detection is used extensively. Aqueduct Technologies specializes in helping organizations transform their businesses by leveraging the private, public, and hybrid cloud.
The threat detection and response solution from Varonis simplify security investigations, detect suspicious activity on data, get insight into privileged account behavior, and investigate security incidents directly in dashboard. This solution continuously monitors and alerts core data and systems.
Cynet EDR security continuously monitors the endpoints, enabling defenders to detect active malicious presence and make rapid and efficient decisions on its scope and impact. The EDR security helps users to take immediate actions on malicious activities. Build custom remediations for validated malicious activity to be applied automatically in any future occurrence.
TIBCO provides anomaly detection as a solution to stop potential problems in the tracks and improve the operational efficiency. Detecting anomalies stops a minor issue from becoming a widespread, time-consuming problem. By using the latest machine learning methods, the user can track trends, identify opportunities and threats, and gain a competitive advantage with TIBCO’s anomaly detection.