Promote this Nomination
|Company (that provides the nominated product / solution / service)||Balabit Corp.|
|Company size (employees)||200+|
|Type of solution||Hybrid|
In 3 bullets, summarize why this product or service is different from the competition and deserves recognition:
• Blindspotter improves enterprise security and enhances flexibility, without hindering business activities. It tracks users in environments where traditional control-based methods are infeasible or too annoying to users. It doesn’t continuously write and update patterns and rules of “known bad behavior”. Instead, Blindspotter links to previously independent data sources and automatically analyzes real-time and historic data to detect unusual behavior.
Blindspotter is a real-time user behavior analytics (UBA) solution that monitors and analyzes users’ activities, and detects unusual behavior to help prevent theft. Blindspotter collects users’ “digital footprints,” builds a baseline of activities using advanced machine learning algorithms, and detects anomalies in real-time. Malicious insiders acting oddly or and the lateral movements of external attackers are revealed. Blindspotter creates a priority list of events to improve the efficiency of security teams as well. It prioritizes the riskiness of behaviors and focuses on potentially high-risk situations and activities.
Any analytics solution is only as good as the data that feeds it. Blindspotter leverages Balabit’s syslog-ng technology, which is proven and trusted in more than one million installations around the world. It also leverages Balabit’s Identity Access Management technology to analyze high-fidelity recordings of user activities such as screen recordings or command line interaction.
Blindspotter’s uniquely pluggable architecture enables analysis of other user data in addition to logs and IAM recordings. Custom connectors to proprietary APIs can be written within hours, and out-of-the box integration with many commonly-used data sources is standard.
Blindspotter combines the results of several big data models to ensure that attackers cannot fly under the radar, while ensuring that security teams are not overwhelmed by thousands of false alarms. It takes risk exposure levels of individual users into account and prioritizes potential incidents, allowing allows security teams to effectively optimize their efforts.
Blindspotter is the next layer of defense against APTs. Traditional pattern-based solutions or perimeter defenses fail to provide adequate defense against the most dangerous types of attacks.
The total cost of ownership for Blindspotter is relatively low as it does not require any manual pattern writing, rule definition or updates, and ecurity staff do not need to regularly maintain the solution.