Remove Intellectual Property Remove Loss Remove Management
article thumbnail

Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Data loss is a serious problem for many businesses. An estimated 94% do not survive a catastrophic data loss. Data loss prevention (DLP) strives to protect your business data from inside or outside compromise. This includes data leakage, data loss , misuse of data, or data compromised by unauthorized parties.

Loss 332
article thumbnail

AI & the enterprise: protect your data, protect your enterprise value

CIO

Data theft leads to financial losses, reputational damage, and more. And with powerful AI techniques that extract deep details from stolen datasets, even small data losses can have seismic impacts. Human error in data loss Human error remains a critical weak link in d a ta loss. Things will get worse.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Enabling productivity and scale through improved enterprise knowledge management

CIO

Employees complain that knowledge is outdated, if it is documented at all, and companies worry about tribal knowledge or the loss of intellectual property when employees leave. To read this article in full, please click here

Knowledge 369
article thumbnail

Generative AI and the Transformation of Everything

CIO

Another major concern is copyright infringement and intellectual property (IP). Organizations should feel especially confident when it comes to the threat posed by generative AI systems if they already have a data protection like Symantec Data Loss Prevention Cloud. Key to our focus is protecting user and enterprise IP.

article thumbnail

Implications of generative AI for enterprise security

CIO

The use of AI presents significant issues around sensitive data loss, and compliance. A 25+ year software veteran, Alex is responsible for product strategy, product management and marketing for all of Symantec. Generative AI

Security 467
article thumbnail

Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data. Preventing data loss will be a key factor in embracing generative AI. In general, they fall into two buckets: 1. Can I prevent data from leaving the organization?

Security 501
article thumbnail

Sharing Responsibility for Data Security in the Cloud

CIO

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. Specifically, the study attributed an average $4 million loss to business disruption, with another $5.9

Security 435