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


FedEx Pilots and Union Reach Tentative Agreement on 40% Pay Increase
Pilots Fear Retaliation for Refusing Middle East Flights Amid Ongoing Conflict
TSMC Posts Strong Q1 2025 Revenue, Riding AI Chip Demand Wave
China Vanke Seeks Bond Extension Amid Mounting Debt Crisis
China's AI Stocks Surge as Zhipu and MiniMax Hit Record Highs
SanDisk Joins Nasdaq-100, Replacing Atlassian on April 20
OpenAI Addresses Security Vulnerability in macOS App Certification Process
Pershing Square Bids €30.40 Per Share to Acquire Universal Music Group in $9.4B Deal
Foreign Investors Pour $18.65 Billion into Japanese Stocks Amid Market Stabilization
Ford Issues Major Recall on Over 422,000 Vehicles Due to Windshield Wiper Defect
Kia Cuts EV Sales Target for 2030 Amid Slowing Demand and U.S. Policy Shifts
MATCH Act: How New U.S. Chip Legislation Could Freeze China's Semiconductor Ambitions
San Francisco Suspect Arrested After Molotov Cocktail Attack on OpenAI CEO Sam Altman's Home
Chalco Stock Surges as Q1 2025 Profit Forecast Jumps Up to 58%
Tokyo Electric Power Attracts Major Investors Amid Billion-Dollar Restructuring Push
NIO ES9 SUV Launch Sends HK Shares Down 7% Despite Bold Pricing Strategy
Lumentum Holdings Rides AI Wave With Order Book Filled Through 2028 



