RavenVISION
Empower an Observability Center of Excellence
Visible integration of all data needed to inform Zero Trust architectures and proactively drive multi-domain service efficiency.
Many organizational teams view IT performance data within the lens of the individual IT silos and tools for which they are responsible. This disjointed approach creates teams of IT experts looking at security, infrastructure, operations and network from varying points of view and priorities. The RavenVISION approach to centralized data intelligence enables dynamic, real-time policy and governance driven through advanced machine learning and artificial intelligence.
A Service-Implemented Methodology for Zero Trust
We ensure the right subject matter experts are in place to match your existing technology investments. A robust assessment process of your current environment leads to thorough planning and build out of a completely integrated single context observability platform.
Impartial Technology Integration
AI/ML and Automation for a Proactive Posture
Transition Service Solution for Complete End-to-End Observability
Includes All IT Domains to Enhance Security and Operations
Maximize Existing Investments to Meet Compliance and Mandate Goals
Complete Integration of a Single Context Observability Platform
RavenVISION Data Intelligence Model
The RavenVISION Data Intelligence Model is tool agnostic and allows organizational change to propagate through the data at the pillar of technology.
Threat Score, Risk Score, Target Valuation, Triage Priority, and Compliance Score
GOVERNANCE AND OBSERVABILITY
Periodic Review Updates within 360 Days, System-wide Data/System/Software/User/Log Provenance
API Standards
Artificial Intelligence
AUTOMATION & ORCHESTRATION
Incident Response
Security Orchestration, Automation & Response (SOAR)
Discovery & Baselining
Machine Learning
Risk Evaluation & Dynamic Risk Scoring
VISIBILITY & ANALYTICS
Monitoring & Auditing
Advanced Threat Protection
Security and Information Event Management (SIEM)
Data Loss Prevention
Data Classification
Metadata Management
Data Encryption
DATA
Data Segmentation
Dynamic Data Masking (DDM)
Fully-automated Data Tagging via ML/AI
Data Rights Management (DRM)
Device & Endpoint
Device Authorization
HW & SW Inventory
Cloud-based Baseline Enforcement
Compliance Enforcement
Device Authentication
Cloud-based Software Deployment & Mgmt.
Intelligence for Endpoint Response
Network & Environment
API Integration
Fully Encrypted Traffic
Common Service Access
Network Segmentation
Cloud Access Security Broker (CASB)
Software Defined Networking (SDN)
Software Defined Perimeter
Application Proxy
Management & Monitoring
Application & Workload
DevSecOps
Application Delivery
Micro-Segmentation
Application Segmentation
Software Chain Supply
Software Defined Compute
Application Approved/Prohibited List
Application Visibility & Access
User
User Authentication
User Authorization
Cybersecurity Access Policy
Privilege Access Management
Single Identity Platform
MFA
In-session Monitoring
ABAC
Key Management
Transparent Authentication
The Data Value Chain
RavenVISION observability leverages RavenTek’s Data Value Chain to create repeatable processes using a value-focused methodology for continuous integration and delivery of relevant data to gain real, empirical insights. The process integrates existing technology investments to build an efficient data platform with the mission to set and reach incremental, achievable goals.
RavenVISION and Splunk: Go Beyond Enterprise Security
As a certified Splunk partner and managed service provider, RavenTek delivers on business outcomes and solves real, complex problems by bringing the entire ecosystem, architecture and data into focus. By using Splunk as the backbone, RavenVISION aggregates and securely integrates multi-domain, multi-platform, multi-tool data and often dispersed, siloed datasets into actionable, contextualized insights.
See the Possibilities
RavenVISION delivers true observability with the visible integration of all IT data needed to inform Zero Trust architectures.
