whitepaper
How Vendors Capitalize on SIEM’s Fundamental Flaws
Because the fundamental nature of SIEM requires infinite amounts of data, security teams are forced to constantly wrangle their network data and faced with an unmanageable number of false positive alerts. This ...
The Evolution of SIEM
It should be noted that SIEM platforms are exceptionally effective at what they initially were intended for: providing enterprise teams with a central repository of log information that would allow them to ...
Whitepaper: The Failed Promises of SIEM
The fundamental SIEM flaws lie in the platform’s need for continual adjustment, endless data stores, and a tendency to create an overwhelming number of false positives. When organizations instead turn to a ...
How Data Normalization in Cybersecurity Impacts Regulatory Compliance
Complying with privacy regulations requires all organizations to have access to data on demand, wherever it lives on a network. With the unfathomable amount of data managed by most organizations operating in ...
Cómo madurar un programa de gestión de vulnerabilidades
El panorama global de ciber-amenazas se encuentra en constante evolución lo cual resalta la necesidad emergente de que las organizaciones fortalezcan su capacidad para identificar, analizar y evaluar los riesgos tecnológicos antes ...
Data Overload Problem: Data Normalization Strategies Are Expensive
Financial institutions spend five to ten million dollars each year managing data. A recent Computer Services Inc (CSI) study reveals that most banks expect to spend up to 40 percent of their ...
Whitepaper: The Data Overload Problem in Cybersecurity
The very nature of data is its infinite capacity for growth. For security teams at large, highly integrated and complex enterprises like financial services institutions, that growth can quickly become unwieldy when ...
Guide: How to Choose an AI-Based Cybersecurity Platform
Most cybersecurity vendors today tout some form of “Artificial Intelligence” as an underlying mechanism for the differentiation of their product among the market. But if everyone is saying they have AI, and ...
Why a Platform With a Generative Baseline Matters
MixMode creates a generative baseline. Unlike the historically-based baselines provided by add-on NTA solutions, a generative baseline is predictive, real-time, and accurate. MixMode provides anomaly detection and behavioral analytics and the ability ...
NTA and NDR: The Missing Piece
Most SIEM vendors acknowledge the value of network traffic data for leading indicators of attacks, anomaly detection, and user behavior analysis as being far more useful than log data. Ironically, network traffic ...
