Data Security Gridlock

Silos of data security using disparate solutions are quickly overwhelmed by the complexity of defining and enforcing consistent data access policies, as data travels continuously through diverse machine and human processes.

Data Security Is Managed in Silos.

Every enterprise manages a wide spectrum of IT systems where protection of sensitive data is a mandate. Each point of access is a data security silo – with its own proprietary security governance and management that spans data access policies and entitlements, encryption and key management, policy enforcement, and access analytics.


Third Party Cloud Applications


Data Repositories


Enterprise Applications


Cloud Storage Instances


Email Accounts



The Problem?
Data Security Is Siloed. Sensitive Data is Not.

Data is not static. From creation to consumption, data travels and resides across applications, environments, data stores, and devices. Every point of access has a context, driven by identity, attributes, and access policy, that determines whether access should be authorized. Now multiply that complexity to enterprise scale.


The driving force behind Zero Trust was to move security pros from a failed perimeter-centric approach to security to a model that was much more data- and identity-centric and better adapted for today's digital business, where even the most basic business processes are rarely self-contained within the four walls of the corporation.


Principal Analyst, Forrester Research

The Zero Trust eXtended (ZTX) Ecosystem, Forrester Research, July 2019

Key Business Drivers Make Things Worse.

Major initiatives and market trends make it fundamentally more complicated to secure and protect sensitive data.

Explosive Growth of Data
and Applications

As more lines of business depend on connected systems, applications and data grow exponentially and become overwhelming to manage across use cases.

Rapidly Changing

Regulatory mandates like GDPR and CCPA add layers of complex policy requirements that must be applied wherever sensitive data resides or is accessed.


As enterprises migrate to the cloud, they must manage data security across architectures, from on-premises, to single-cloud, to multi-cloud environments.

Welcome to Data Security Gridlock.

It’s impossible to scale the protection of data when you are managing the state of data access policy and policy enforcement separately in all these systems. This creates gridlock that undermines the performance of your business and people.

Cloud Migration is Stalled

You can’t leverage the transformational
benefits of the cloud if data security can’t
be trusted.

Internal Stalemates Persist

The offices of CTO, CISO, and Chief Compliance/Risk Officer remain at odds over whether data is secure enough.

Regulatory Exposure Grows

If policy cannot be efficiently evolved and applied across applications, resources, workloads and data stores, the risk of compliance failure multiplies.

The Application Pipeline Stagnates

New innovations that will provide clear business value are delayed or diminished by security and privacy concerns.

Data Remains at Risk

When there is no common framework for applying data access policy across all use cases, exploitable security gaps remain and grow.


It’s Time to Scale the Protection of Sensitive Data.

In order to break through data security gridlock, there must be a system of record for defining and enforcing data access policy, in whatever context data is being accessed. At enterprise scale.