Manage your data security posture

A data centric approach to cyber security
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What is data security posture?

Enterprise data is scattered across an organization’s infrastructure, applications, and services. As a result, the data security risks are distributed across data sources and in transit. Data security posture is the collective assessment of data security risks across an organization. Data security posture is a holistic view of risks determined by

Data security posture is a holistic view of risks determined by

Size and complexity of the surface of data

Size of potential financial loss in the event of a breach

Likelihood of a breach and the level of controls

Why is data security posture important?

Edit to "Data breaches result in financial damage and cause irreparable damage to a company’s reputation and loss of customer trust. Due to the growing number of breaches publicly and heftier penalties, organizations need to quickly understand where, what, and the size of risks they hold.

Avoid financial Damage

Protect company's reputation

Retain trust with customers

Adhere to the data protection laws

Data security posture is much more than data discovery & mapping

Data security posture

Data discovery & mapping

360 Degree view of the data

What personal / sensitive data do we have?

Who has access to the data?

Who is using the data?

360 Degree view of the risks

Identify breach and privacy risks

Prioritize critical risks

Understand trade-offs value vs. risks

Manage your data security posture with Protecto

Security teams have the impossible job of protecting the data while making data ubiquitously available across the organization. We help you identify, prioritize, resolve and monitor data security issues without adding friction to your existing data flows.

Map your data and risks

Get visibility into who has access to your data, and who is using the data.

Quantify risks

Prioritize and resolve risks based on the risk scores.

Continuous assessment

Automatically scan for the changes in data structures, data content, and usage to continuously estimates risk and surface privacy issues.

Over exposed data

Find data assets with sensitive data that are over-exposed to users, potentially posing high privacy risk.

Minimize data

Identify unused data assets that could be archived or deleted, resulting in lower costs and risks.

Remove unused excess access

Surface all users that have wide access privileges and do not actively use the enterprise data.

Our technology

We integrated multiple disciplines – Privacy Engineering, Risk Modeling, and Artificial Intelligence – to understand your enterprise data environment and find ways to improve your data privacy posture.

Prevent millions of $ of risks. Learn how.

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