CrowdStrike Falcon Next-Gen SIEM is the execution engine of the Agentic SOC, delivering AI-powered detection, investigation, and response across endpoint, cloud, identity, and third-party data. Built on a data fabric designed for AI, it replaces fragmented legacy SIEM architectures with a unified source of security context, helping analysts and AI agents detect and stop threats faster.
What features make CrowdStrike Falcon Next-Gen SIEM stand out?
- AI-Powered Data Fabric: Unifies, normalizes, and enriches Falcon and third-party telemetry with adversary intelligence.
- Adversary-Driven Detections: Continuously applies insights from CrowdStrike threat hunting, incident response, and managed services to strengthen detection.
- Fast, AI-Powered Investigation: Combines index-free search with Charlotte AI to accelerate investigations and simplify complex security analysis.
- Agentic SOAR: Uses AI agents and automated workflows to coordinate response across security tools and environments.
What benefits can users expect?
- Faster Detection and Response: AI-powered investigation and automation help teams identify and stop threats sooner.
- Complete Visibility: Unifies endpoint, cloud, identity, and third-party data for richer context and fewer security gaps.
- Lower Cost and Complexity: Simplifies migration, data ingestion, and security operations while reducing reliance on legacy SIEM infrastructure.
- Scalable Agentic SOC: Connects data, detection, investigation, and automated response within a unified platform.
Across industries, CrowdStrike Falcon Next-Gen SIEM helps organizations modernize the SOC, improve analyst productivity, and respond to sophisticated threats with greater speed and efficiency.
DNIF HYPERCLOUD provides efficient security monitoring with fast queries, user-friendly features, and built-in threat detection, offering open-source infrastructure support for improved performance.
DNIF HYPERCLOUD integrates with network devices, servers, and applications for comprehensive log collection and security monitoring, enhancing compliance through unauthorized activity detection. Its scalability and real-time alerting align with the MITRE ATT&CK framework, making it valuable for security operations centers and emergency response systems. While handling high EPS, it includes advanced features like threat hunting and malware detection, though it faces challenges with export limitations and backend dependencies.
What are DNIF HYPERCLOUD's key features?
- Fast Query Response: Delivers quick data retrieval, enhancing analysis speed.
- Effective Search: Advanced search capabilities with enhanced queries.
- MITRE Table Integration: Aligns closely with MITRE ATT&CK framework for strategic security mapping.
- User Entity Behavior Analytics: Supports rapid emergency responses through behavior analysis.
- Built-in Threat Hunting: Proactively identifies potential threats and vulnerabilities.
- Malware Detection: Detects and mitigates malware threats automatically.
What benefits and ROI should users expect?
- High EPS Handling: Efficiently manages events per second for large-scale operations.
- Cost-Effective Infrastructure: Utilizes open-source development, reducing dependency on licenses.
- User-Friendly Interface: Easier to use than earlier versions and complex alternatives.
- Compliance Support: Aids in maintaining compliance through log retention.
- Threat Detection: Provides robust real-time alerting and log correlation.
In finance, DNIF HYPERCLOUD aids in detecting unauthorized transactions, ensuring regulatory compliance. In healthcare, it supports data protection and threat intelligence integration, while in manufacturing, it secures IoT devices and monitors cyber threats, integrating with existing systems for streamlined security operations.
