Security Information and Event Management
Streamline your security investigations with the ability to detect threats in real-time, perform multi-step analysis and power your investigations with machine learning.
What is a SIEM?
Security information and event management (SIEM) is a security technology that aggregates log data from multiple sources, identifies suspicious activity and takes appropriate action. The most basic and important function of a SIEM platform is to centralize security notifications from multiple security tools (like firewalls, IDS/IPS, wireless access points, antivirus software, etc.) that each generate their own alerts every day.
A SIEM solution helps you collect all these alerts in one place. It creates a single set of reports in a centralized system for generating notifications. This is also referred to as a log aggregation system.
Gartner defines SIEM as follows: Security information and event management (SIEM) technology supports threat detection and security incident response through the real-time collection and historical analysis of security events from a wide variety of event and contextual data sources. It also supports compliance reporting and incident investigation through analysis of historical data from these sources. The core capabilities of SIEM technology are a broad scope of event collection and the ability to correlate and analyze events across disparate sources.
How It Works
1 - COLLECTIngest Terabytes of data from all types of sources, such as applications, the cloud, servers, network devices and sensors.
2 - PARSEExtract all relevant information from your logs based on extractor configuration.
3 - ENRICHThe enrichment phase adds context to events, which makes finding correlations between events easier and more productive. For example, Adding geographical information and whois records are common means of enriching data.
4 - STOREAfter data ingestion, the parsed data is stored in a database. Traditional SIEM solutions typically use RDBMS storage systems.
5 - CORRELATE AND ANALYZETraditional SIEM solutions rely on pre-written correlation rules for threat detection. This rule-based correlation is geared toward finding known threats and generates an alert or signal for SOC analysts to review/validate.
6 - RESPONDResponse is the last phase, where alerts that are generated are validated by SOC teams for false positives and applicable remediation actions are performed.
Why you need a SIEM?
Collect and aggregate data from multiple data sources, like network devices, security devices and cloud services. Monitor key metrics and traffic profiles to identify anomalies.
Empower your security and IT teams with the ability to collect data, safeguard data storage and automate the creation of regulatory reports to ensure company, industry and government compliance.
Give your team a unified IT infrastructure overview, making it easier to identify anomalies with incident storylines that are effective in troubleshooting environmental issues.
Quick and easy incident handling capabilities to identify compromised or suspicious entities across the organization.
Why DNIF is better than other SIEMs
MORE OPTIMIZED THAN THE COMPETITION
DNIF HYPERCLOUD is a cloud-native security analytics platform that unifies end-to-end data ingestion, threat analysis, and response. All of DNIF’s features are built right into its architecture for hyper performance and stability, eliminating the hassle of installing and managing add-ons.
THREAT INTELLIGENCE THAT MATTERS
>With threat intelligence feeds directly integrated into DNIF, you always have the most up-to-date threat intelligence, so you can quickly detect and mitigate emerging attacks. With more than 50 external threat intelligence plugins, DNIF offers you new security capabilities at no additional cost.
MORE VALUE ON A TIGHT BUDGET
DNIF offers you a library of ready-to-use actions and the ability to build your own, all without being a burden on your budget. While slab-based pricing hurts growing customers with overage fees and penalties, our subscription model gives you room to grow without breaking the bank.
MACHINE LEARNING-POWERED ANALYTICS
Eliminate guesswork and analyze all your data automatically to reveal hidden insights — in a fraction of the time, rather it would take to do manually. ML-powered analytics helps identify threats and scenarios that previously went unnoticed by identifying anomalies.
DETECT OUTLIERS ON THE FLY
Perform historical and statistical analysis on multidimensional datasets, enabling security teams to detect trends that previously went unnoticed by identifying outliers and performing time-based aggregation. Trend analysis helps teams discover insights that otherwise could be identified by an untrained eye.
REDUCED ALERT FATIGUE
DNIFs graph analytics and cognitive machine learning feature helps users investigate signals and probes connections. Analysts can quickly identify context and drill down to initial access. Response is more direct and can be strategized based on the threat propagation within the environment.
INTEGRATE MITRE ATT&CK FRAMEWORK
Tightly integrated with MITRE ATT&CK across all primary product capabilities from signals to graphs to machine learning. Detection content is annotated by our Security Research team with confidence levels, killchain and TTP mappings. Prioritize event sources that boost visibility and detection.
THE UEBA ADVANTAGE
Prioritize the hosts and entities to analyze based on risk scores. Analyze risky users and entities, investigate and respond to threats from the same module. Machine learning models to mature the scoring based on behaviour patterns. Map detections against various TTPs on the kill chain.