Next Generation SIEM
Hybrid Cloud and On-Prem Analytics-Driven Next Gen SIEM
BUSINESS CHALLENGE
Most SIEM solutions are overly focused on log collection and correlation. When more log data is introduced, these solutions produce an overwhelming number of unprioritized alerts which leads to chasing false positives and unpredictable pricing and escalating costs.
In addition, the inability to automate the collection, correlation and threat detection with advanced link-event analysis and out-of-the-box threat content leads to a lack of context, precision and confidence in response actions and playbooks that are necessary to stay ahead of today’s organized threat actors. This also leads to overburdening newly hired and short-staffed security analysts with too many manual tasks to be effective.
CRITICAL CAPABILITIES
- Ingest, interpret, and extract security meta data from any device, application, multi-cloud, etc.
supported by user/entity-based licensing and a true self-training machine learning engine
- Go beyond other “cloud-supported” solutions
to work 100% in any cloud environment and detect dangerous threat activity that is purposely spread across multi-cloud environments to obscure the scope of the overall attack campaign
- Detect threats in real-time automatically out-of-the-box
with included threat content for immediate time to value
- Gather threat-specific contextual information
based on Endpoint, Log, Identity-Access, IoT, Poly-Cloud, User and Entity Behavior Analytics (UEBA), and DLP analytics (both network and email) together in real-time to accelerate detection and enrich context for the SOC - Leverage an industry-leading 2500+ customizable machine learning models
that are unique in being open and transparent versus black box and obscured - Apply risk scoring across all telemetry and analytics
for prioritization of investigations and response - Accelerate remediation
through choice of our SOAR with risk and context driven dynamic playbooks that are targeted and high-fidelity or working with 3rd party SOAR solutions
KEY BENEFITS
Drastically reduce overall operational expenses while improving efficiency of security operations with cloud SIEM as the foundation:
- Support more data ingestion, that is currently inhibited by licensing costs, heavy customization for new data sources, storage limitations, and poor analytics leading to too many alerts and false positives
- Reduce threat detection time from weeks or months to minutes or hours through automation
- Reduce manual effort through automation of tasks and prioritization of remediation actions with a rich level of context
- Improve analyst efficiency and accelerate training through open and transparent models, gathered context, and clear response recommendations leading to improved TCO
Quickly identify and address new, emerging, and unknown threats that evade most rule-based ML solutions, and rely on updates which could take weeks or months to develop
Reduce capex and opex based on licensing, storage, improving team efficiency and enabling better training for junior analysts leading to the need for less resources and less burnout/churn
WHY GURUCUL?
- Get full visibility without escalating costs
- Leverage depth of analytics for advanced detection
- Increase operational efficiency and improve ROI
- Enjoy automated eradication of threats
Read Customer Reviews
Why They Recommend Gurucul
TOP USE CASES
External, Internal, Cloud Incident Collection and Monitoring
Gurucul Next Generation SIEM helps customers track activity across different environments, correlating this information for retention and storage. It also monitors for, prioritizes, and escalates potential security incidents, which includes suspicious or abnormal behaviors, for further investigation.
Advanced Threat Detection and Response
Gurucul’s Comprehensive and Advanced Analytics, with included UEBA and Threat Content enables automated detection of external and internal threats beyond traditional correlation rules. In addition, Gurucul’s trained (non-rule-based) machine learning engine and models can more easily detect new, unknown, and emerging threats and variants.
Achieving Compliance Objectives (PCI, SOX, HIPAA, GDPR, etc.)
Gurucul Next Gen SIEM helps customers with mandated regulatory compliance requirements beyond threat detection and response that includes log storage, auditing, forensics, and reporting.
Privileged Access Violations and Insider Threat Monitoring
Go beyond current SIEM solutions to identify privileged access violations and misuse by detecting gaps in access policies and/or stolen credentials. Apply our award-winning UEBA to detect identity-based access violations based on external and internal threats. For internal threat monitoring, Gurucul Next-Gen SIEM leverages other telemetry and analytics to identify insider threats including activity such as data exfiltration.
Gurucul Next Generation SIEM helps customers track activity across different environments, correlating this information for retention and storage. It also monitors for, prioritizes, and escalates potential security incidents, which includes suspicious or abnormal behaviors, for further investigation.
Gurucul’s Comprehensive and Advanced Analytics, with included UEBA and Threat Content enables automated detection of external and internal threats beyond traditional correlation rules. In addition, Gurucul’s trained (non-rule-based) machine learning engine and models can more easily detect new, unknown, and emerging threats and variants.
Gurucul NGSIEM helps customers with mandated regulatory compliance requirements beyond threat detection and response that includes log storage, auditing, forensics, and reporting.
Go beyond current SIEM solutions to identify privileged access violations and misuse by detecting gaps in access policies and/or stolen credentials. Apply our award-winning UEBA to detect identity-based access violations based on external and internal threats. For internal threat monitoring, Gurucul Next-Gen SIEM leverages other telemetry and analytics to identify insider threats including activity such as data exfiltration.
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