Area 1 Security: Leveraging Google Cloud Platform to Preempt Phishing Attacks
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Cement
- National Security & Defense
Applicable Functions
- Logistics & Transportation
- Warehouse & Inventory Management
Use Cases
- Construction Management
- Tamper Detection
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Area 1 Security is a leading provider of comprehensive anti-phishing solutions. The company identifies threat campaigns, attacker infrastructure, and delivery mechanisms to stop targeted phishing attacks during the earliest stages of an attack cycle. Backed by top-tier investors, Area 1 Security is led by security and data analytics experts from NSA, USCYBERCOM, Cisco/IronPort, and FireEye. The company works with some of the most sophisticated organizations in the world, including Fortune 500 banks, insurance companies, and healthcare providers, to preempt targeted phishing attacks and help change outcomes. The company is based in the United States and operates in the technology industry.
The Challenge
Area 1 Security, a leading anti-phishing solution provider, was faced with the challenge of analyzing massive streams of information to identify and preempt targeted phishing attacks. The company needed to process over 3 billion events every day and manage a data warehouse of approximately 3 petabytes, including a quarter of a trillion attack metadata records. The company's service required the ability to analyze this vast amount of information using sensors across the internet, a high-speed web crawler that spiders up to six billion URLs every month, and a distributed sensor network that gathers billions of network events in a day. The challenge was to find a scalable, high-performance platform with sophisticated data analytics tools that could handle this massive data load and help identify impending attacks.
The Solution
Area 1 Security turned to Google Cloud Platform for its scalability, performance, and sophisticated data analytics tools. The company's data is stored in Google Cloud Storage, and Google Cloud Dataflow streams data to Google BigQuery and Google Cloud Bigtable. Google BigQuery, which hosts a database of more than 330 billion rows, performs analysis and ad hoc queries that help Area 1 Security quickly identify impending attacks. A curated set of attack and phishing data is sent to Google Cloud Bigtable for fast searches. Area 1 Security then uses its cloud services to take action against phishing attacks before they cause damage to customers. Google Cloud Platform not only helps Area 1 Security find threats but also saves the company money and lets its engineers focus on predictive analytics to find threats instead of running data center infrastructure.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Data Capture for Afghanistan Forces
Electronic equipments on the field of Afghanistan provided information on the status of the vehicle and to identify potential threats surrounding it to the British Force. The monitoring and interpretation of this data requires robust and sophisticated digitization for data capture and communication.
Case Study
Digital Transformation of Atlanta Grout & Tile: An IoT Case Study
Atlanta Grout & Tile, a Tile, Stone & Grout restoration company based in Woodstock, Georgia, was facing challenges with its traditional business model. Despite steady growth over the years, the company was falling behind the web revolution and missing out on the opportunity to tap into a new consumer base. They were using independent software from different vendors for each of their department information and workforce management. This resulted in a lot of manual work on excel and the need to export/import data between different systems. This not only increased overhead costs but also slowed down their response to clients. The company also had to prepare numerous reports manually and lacked access to customer trends for effective business decision-making.
Case Study
Major Aerospace Company Automates Asset Management
The O&M division of an aerospace and global security company was using spreadsheets to manually track more than 3,000 assets assigned to students and staff. Maintaining audit trails for this high volume of equipment became increasingly time-consuming and challenging. The chore involved knowing precisely what equipment was on hand, what had been issued, its location and the name of the custodial owner of each item. Every aspect of this task was carried owner of each item. Every aspect of this task was carried out by individuals with spreadsheets. Manually documenting the full lifecycle of each asset added to the burden. This included tracking maintenance requirements and records, incidents and damages, repairs, calibrations, depreciation, and end-of-life data.
Case Study
Revolutionizing Construction Equipment Rental: A Case Study on ProsRent and ENO8
ProsRent, a startup that won the 'Best Financial Opportunity' and 'Best Pitch' at CodeLaunch 2016, aimed to revolutionize the way construction professionals source and rent heavy equipment. In the construction industry, project managers and contractors typically rent heavy equipment from supply companies. However, predicting inventory can be challenging, and finding the required equipment at the right time and place can be a hassle. If the preferred vendor doesn't have the required equipment, it results in wasted time and money in searching for it, often leading to higher costs due to non-preferred rates and increased delivery costs if the vendor is located far from the job site. Suppliers, on the other hand, desired access to a wider base of trusted renters that they didn't have to vet themselves and wanted to offer dynamic rental pricing based on demand and availability in their market. ProsRent's challenge was to produce a minimum viable product that was fast and first to market but also strong enough to engender loyalty and repeat business from the target market.
