Overview
With this integration template, you can effortlessly connect and share phishing attack, impersonation, and digital threat data from Bolster, enabling you to investigate cases and gain deep insights under one unified data hub.
Here’s what you get with the Bolster.ai integration template
An import map that translates data from Bolster.ai into your data hub
A stream providing an API and configuration instructions for Bolster.ai
A data model covering takedowns, servers, URLs, and domains/sub-domains
An AI-powered link chart for finding connections based on all data, including media and language processing
Customizable Power BI reports displaying monthly/quarterly takedowns alongside other data
Why use this Bolster.ai integration template?
Unified Data Source
Combine data from Bolster.ai and other diverse sources into one unified data hub to enhance collaboration and investigation
Lead Prioritization
Prioritize critical leads for investigation by linking online-identified targets and analyzing trends across various dimensions
Operation Efficiency
Streamline operations by automating repetitive tasks and efficiently addressing recurring offenders
Time Saver
Automatically load data through the Bolster’s API into the data hub without manual data entry or messy, time-consuming imports
Automated Dashboards
Generate comprehensive reports and monitor metrics using automated dashboards
AI-powered Investigation
Harness the power of Hubstream’s cutting-edge analytics and AI-driven tools to amplify the effectiveness of Bolster.ai’s real-time capabilities
What results can this template help investigators achieve?
Crime Investigator
Easily bringing in and unifying multiple data sources for a holistic view of cyber threats
Utilizing Hubstream’s AI-driven Link chart with Bolster.ai to spot and address threats ahead of time
IP & Brand Protection Investigators
Enjoying dedicated API access to quickly link data from Bolster.ai and connect all the dots under one unified data hub
Obtaining a comprehensive picture of activities perpetrated by bad actors across both online an offline sources
Fraud Investigators
Automatic data retrieval from Bolster.ai for streamlined access to consolidated fraud information
Enhancing fraud detection and identifying patterns of fraudulent activities by using advanced analytics and AI-powered tools
About Bolster
Overview of Bolster.ai
Bolster.ai is an innovative platform that provides a wide range of features aimed at streamlining investigations. It excels in autonomously identifying and dismantling phishing sites, fraudulent content, and copyright infringements.
Key Features of Bolster.ai
- AI-Driven Real-Time Detection: Its detection engine uses deep learning to render an infringement verdict within 100 milliseconds with a false positive rate of 1 in 100,000.
- Fully Automated Takedowns: Its integration with host companies allows you to take down more than 95% of phishing and scam sites as quickly as 2 minutes globally.
- Real-time Monitoring: Bolster.ai offers real-time monitoring capabilities, enabling investigators to stay ahead of emerging threats and respond promptly to unfolding situations. By continuously analyzing data streams, Bolster.ai helps identify potential risks and vulnerabilities as they arise.
Benefits of Bolster.ai
- Enhanced Efficiency: By automating time-consuming tasks such as data analysis and takedowns, Bolster.ai significantly improves investigative efficiency, allowing investigators to focus their time and resources on strategic initiatives and critical priorities.
- Improved Accuracy: The advanced algorithms employed by Bolster.ai ensure high levels of accuracy in data analysis and interpretation, minimizing the risk of errors and false positives. This reliability is essential for making well-informed decisions and building strong cases.
- Scalability: Bolster.ai is highly scalable, capable of handling large volumes of data and adapting to evolving investigative needs. Whether investigating individual cases or conducting enterprise-wide analysis, Bolster.ai provides the scalability required to meet diverse requirements effectively.