REDWOOD SHORES, Calif., Aug. 17, 2017 -- Securonix, the market leader in big data security analytics and advanced threat detection has been recognized by the Software & Information Industry Association’s (SIIA) prestigious 2017 CODiE Award for Best Big Data Reporting and Analytics Solution.
Securonix SNYPR is a big data security analytics platform that leverages machine learning based techniques to power the next generation of advanced threat detection. The SNYPR platform empowers alert fatigued security operations center (SOC) and security incident response analysts, helping predict, detect and respond to advanced insider and cyber security threats that legacy SIEM and log management tools are unable to find.
“We are particularly honored to be recognized by a body of highly selective peers in the software industry for our innovation and leadership in big data security analytics”, said Sachin Nayyar, Securonix CEO. “Securonix SNYPR was also placed as a “Strong Performer” earlier this year in the “Forrester Wave: Security Analytics Platforms”. This acknowledgment from SIIA further validates our efforts aimed toward re-defining cyber threat detection by leveraging the power of entity context, machine learning and big data.”
The SIIA CODiE Awards are unique in that they are the only peer-recognized program in the content, information, education, and software technology industries so each CODiE Award win serves as incredible market validation for a product’s innovation, vision, and overall industry impact.
Securonix SNYPR has won several awards for its product leadership as security teams struggle with their legacy SIEM deployments’ increasing lack of effectiveness against advanced hackers and insider threats, while simultaneously seeing the cost of their deployment balloon out of control. SNYPR, built on an open Hadoop data store and a full stack big data architecture provides the bleeding edge in security analytics, increasing threat detection accuracy, reducing false positives and giving cyber security personnel the information they need to respond to modern threats facing their organizations. The open data model enables organizations to ingest data once and analyze it many times using your own custom or third-party applications.
About Securonix
Securonix radically transforms enterprise security with actionable intelligence. Our purpose-built security analytics platforms mine, enrich, analyze, score and visualize data into actionable intelligence on the highest risk threats to organizations. Using signature-less anomaly detection techniques, Securonix detects data security, insider threat and fraud attacks automatically and accurately. Visit www.securonix.com.
Media Contact: Aarij Khan VP of Marketing, Securonix [email protected] 650-678-3258


Goldman Sachs, ANZ Cut Oil Forecasts Amid U.S.-Iran Ceasefire Hopes
Tokyo Electric Power Attracts Major Investors Amid Billion-Dollar Restructuring Push
Ford Issues Major Recall on Over 422,000 Vehicles Due to Windshield Wiper Defect
Pershing Square Bids €30.40 Per Share to Acquire Universal Music Group in $9.4B Deal
Abbott Laboratories Ordered to Pay $53 Million in Premature Infant Formula Lawsuit
OpenAI Addresses Security Vulnerability in macOS App Certification Process
Alibaba Shares Slide as Jefferies Slashes Price Target Over AI Spending and Business Losses
TSMC Posts Strong Q1 2025 Revenue, Riding AI Chip Demand Wave
Chalco Stock Surges as Q1 2025 Profit Forecast Jumps Up to 58%
Bank of America Identifies Top Asia-Pacific Semiconductor Stocks Poised for AI-Driven Growth
Pilots Fear Retaliation for Refusing Middle East Flights Amid Ongoing Conflict
Kia Cuts EV Sales Target for 2030 Amid Slowing Demand and U.S. Policy Shifts
Pony.ai, Uber, and Verne Launch Europe's First Commercial Robotaxi Service in Zagreb
Anthropic's Mythos AI Model Sparks Emergency Cybersecurity Meeting With Top U.S. Bank CEOs
China Vanke Seeks Bond Extension Amid Mounting Debt Crisis 



