Manage your data security posture

A data centric approach to cyber security

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  

Size and complexity of the surface of data 

Size of potential financial loss in the event of a breach

Likelihood of a breach and level of controls

Why is data security posture important?

Data is the lifeblood of the data. Data breaches result in financial damage and cause irreparable damage to a company’s reputation and loss of customer trust. Moreover, data protection laws require companies to announce breaches publicly and pay hefty penalties. Therefore, organizations must understand where, what, and the size of risks they hold.

Avoid Financial Damage

Keep Trust From Customers

Manage Company’s Reputation

Obey The Data Protection Laws

Data discovery/data mapping is not
data security posture

Data Security Posture Data Discovery / Mapping
360 view of the data
What personal / sensitive data do we have?
Who has access to it?
Who is using it?
360 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 and monitor data security issues without adding friction to your data flows.

Map your data and risks

Our platform gives visibility into your data, who has access and who is using the data.

Quantify risks

We apply AI and risk models to quantify the risks in your data. Prirotize risks based on the risk scores.

Continuous assessment

Automatically scans for the changes in data structures, data content, and usage. Our solution continuously estimates risk and surfaces issues.

Over exposed data

Finds data assets with sensitive data that are over exposed to many users, potentially posing high risk

Minimize data 

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

Remove unused excess access

Lists all the users who have wide access privileges and don’t actively use the data.

Our Technology

Under the hood, we bring multiple disciplines –  AI, privacy engineering, risk modeling –  to understand your enterprise data environment and find ways to improve your data security posture.

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