The Seven Pillars of Zero Trust Architecture

Our Approach

The Seven Pillars of Zero Trust Architecture

ISEC7 combines best of breed commercial off-the-shelf software products to create exceptional digital workplace solutions for customers. Our team takes a strategic approach combining your business objectives with security requirements to design and implement a holistic digital workplace framework. We do this by gaining a thorough understanding of your business and existing IT infrastructure and identify areas for optimization or where emerging technologies can enhance the ecosystem. In doing so, we ensure that we provide value not only to existing processes but support future growth and scalability in your organization.

We understand the importance of the end user experience in a digital workplace and emphasize balance between usability and flexibility with data protection and regulatory compliance standards.

User

Continually authenticate, access, and monitor user activity patterns to govern user’s access and privileges while protecting and securing all interactions.

Device

Understanding the health and status of devices informs risk decisions. Real time inspection, assessment and patching informs every access request.

Application & Workload

Analyze events, activities, and behaviors to derive context and apply AI/ML to achieve a highly personalized model that improves detection and reaction time in making real-time access decisions.

Data

Data transparency and visibility enabled and secured by enterprise infrastructure, applications, standards, robust end to end encryption, and data tagging.

Network &
Environment

Segment, isolate and control (physically and logically) the network environment with granular policy and access controls.

Automation &
Orchestration

Automated security response based on defined processes and security polices enabled by AI e.g., blocking actions or forcing remediation based on intelligent decisions.

Visibility & Analytics

Analyze events, activities, and behaviors to derive context and apply AI/ML to achieve a highly personalized model that improves detection and reaction time in making real-time access decisions.