SHARE
Facebook X Pinterest WhatsApp

Manual Security Operations Slowing Down Data Initiatives

thumbnail
Manual Security Operations Slowing Down Data Initiatives

Computer security code abstract image. Password protection conceptual image.

Data-driven businesses are having to slow down new data initiatives, due to manual governance and security operations required to hold sensitive data.

Written By
thumbnail
David Curry
David Curry
Jul 11, 2022

Many data-driven businesses are having to delay new data initiatives, due to complex and manual data governance and security operations that are required to collect personally identifiable data. 

In a new study by DataSecOps provider Satori, it found that 61 percent of data leaders considered manual security operations to be a factor in data initiative delays. 71 percent of respondents said they collected personally identifiable data, with 41 percent holding financial data like credit cards, scores and payments. 

SEE ALSO: Why Continuous Intelligence is Essential for Modern Security Operations

The vast majority of respondents (85%) said it was critical that sensitive data is secure, as a way to minimize data breaches and the costs associated with the clean up. 

Two of the main manual processes holding up data initiatives were email and service ticketing and fragmented processes, which rely on multiple tools and custom-built code. 39 percent said they wanted streamlined compliance and security operations, which would allow them to focus on core projects.  

“Our latest DataSecOps survey reveals the state that many companies are in – trying to scale through data but being held back by legacy processes and tools,” said Eldad Chai, CEO and co-founder of Satori. “The results correspond to why organizations are opting for a common data access layer securing access to sensitive data with fully automated tooling and processes, making the data the path of least resistance in the organization. With a modern, real-time data security approach, companies can accelerate delivery of data projects, scale up across the organization and save up to 80% less time spent currently on manual, ad-hoc security controls.”

The study spoke to data engineers, architects and scientists from over 100 hypergrowth startups, mid-size and Fortune 500 companies.

thumbnail
David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

Recommended for you...

AI Agents Need Keys to Your Kingdom
Securing Patient Intake: The Hidden Threats to Protected Health Information
Yaron Galant
Dec 9, 2025
AI That Plays by Your Rules: Why Enterprise MCP Integration Changes Everything
Tim Freestone
Dec 3, 2025
Addressing the Hidden Security Risks of AI Agents in Industrial Operations

Featured Resources from Cloud Data Insights

The Difficult Reality of Implementing Zero Trust Networking
Misbah Rehman
Jan 6, 2026
Cloud Evolution 2026: Strategic Imperatives for Chief Data Officers
Why Network Services Need Automation
The Shared Responsibility Model and Its Impact on Your Security Posture
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.