In fields such as Zero Trust architecture, identity management, and cybersecurity frameworks, this balance becomes especially crucial. Zero Trust principles, for example, evolve from the legacy "trust but verify" models but go further to assume no inherent trust within a network. Similarly, identity management systems leverage long-standing protocols like Active Directory, while integrating newer innovations such as biometrics and AI-driven behavioral analysis.
As these technologies evolve, it’s clear that the future will demand security frameworks that continue to adapt while upholding trusted legacy approaches that ensure reliability, compliance, and resilience.
Offers predetermined hours and specific deliverables, like an ICAM Assessment, ensuring transparent pricing and simplified budgeting for customers.
This model creates a detailed, personalized plan for a project, outlining its scope, deliverables, timelines, and terms to meet the customer's unique needs and ensure clarity for all parties.
This model assigns dedicated IT professionals to work closely with the client full- or part-time, enabling the client to guide their actions, thereby strengthening internal teams or managing projects efficiently. The sustainment model, which includes operation and maintenance (O&M), provides effective personnel that maintain and improve the performance and reliability of IT systems over the long term.
Assessments, Architecture/Design
Product Installation & Integration
Federated Identity Platform (FIP) and Identity Platform (IdP)
Privileged Access Management (PAM)
Identity Governance & Administration (IGA)
Continuous Authentication
Zero Trust Architecture
Active Directory Infrastructure Modernization
Advanced Security Solutions
Zero Trust Architecture Gap Analysis
Cloud Readiness Assessments & Solutions
Public, Private, and Hybrid Cloud Solutions
Architecture, Design, and Deployment of New Systems
Active Directory Infrastructure Modernization
Migrations
Advanced Message Hygiene, Malware Detection, and Email Security
Secure Service Edge (SSE)
Data Governance Assessment
Data Labeling and Tagging
Data Encryption
Data Access Control (DAC)
Data Loss Prevention (DLP)
Data Monitoring
Device Inventory and Protection
Asset and Mobile Device Management (MDM)
Vulnerability and Patch Management
Device Authorization
Endpoint Detection and Response (EDR/XDR)
Data Flow Mapping
Policy Orchestration and Automation
SIEM/SOAR
Data Quality and AI Readiness Assessments
Data Lake and Data Warehouse Development
ETL and Data Cleansing
Data Visualization and ML Model Development
ML Model Deployment and Integration
Behavior and Risk Analytics
Threat Intelligence Integration