SAN FRANCISCO, United States, May 7th, 2024/CyberNewsWire/-- Hunters, the pioneer in modern SOC platforms, today announced its full adoption of the Open Cybersecurity Schema Framework , coupled with the launch of groundbreaking
The adoption of enables multi-stage attack analysis and context-rich threat hunting. Accelerating AI and Gen-AI in Security - Standardized data schema accelerates the development of AI-driven security solutions. -Native Search is Revolutionizing Search in the following ways: Event and Object-Based Searching: A New Search Paradigm - Hunters SOC platform introduces event and object-based searching, eliminating the complexities of source-specific log formats by enabling analysts to search cybersecurity events and objects without the need for field normalization or navigating diverse log formats.
schema. This contribution is part of their commitment to fostering an open and collaborative environment where knowledge sharing accelerates innovation and strengthens security postures across the industry. The full adoption of as our primary data model represents a transformative step in our journey to elevate cybersecurity operations. Alongside this, our new advanced
The adoption of include: Streamlined Operations and Enhanced Collaboration - practitioners use common security language, promoting efficient sharing of insights and best practices, bolstering collective defense strategies. Breaking Vendor Lock-in and Data Silos - Organizations are not constrained by proprietary data formats from specific vendors.
-native search functionality, designed specifically for SOC analysts and threat hunters. This innovative technology addresses the complexities of "query engineering" by leveraging a universal data schema— model, analysts of all experience levels can quickly become proficient, bypassing traditional complexities and lengthy training sessions. Entity Investigation Curated Workflows: Investigations with a Single Click - With this new capability analysts can pivot directly from Hunters’s alerts to Search with a single click, automatically populating and executing queries for deep context.