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GUEST ESSAY: 5 security steps all companies should adopt from the Intelligence Community

The Last Watchdog

And, in doing so, the IC has developed an effective set of data handling and cybersecurity best practices. Businesses at large would do well to model their data collection and security processes after what the IC refers to as the “intelligence cycle.” Related video: Using the NIST framework as a starting point.

Security 126
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Big California Privacy News: Legislative and Enforcement Updates

Data Matters

As a provider subject to CMIA, mental health apps would be subject to HIPAA-like constraints on their ability to use and share data collected and will have increased litigation exposure, as CMIA includes a private right of action.

Privacy 197
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The most valuable AI use cases for business

IBM Big Data Hub

Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. Manufacturing Advanced AI with analytics can help manufacturers create predictive insights on market trends.

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These 3 GDPR Requirements You Must Support Today are Nothing Compared With What’s Coming

Reltio

Personal data includes a wide range of personal identifiers, from addresses and public information, to social profiles, images, IP information, device IDs and medical and financial details. Consumer personal data collected within your company is often distributed to multiple systems and organizations, resulting in duplication.

GDPR 70
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Best Fraud Management Systems & Detection Tools in 2022

eSecurity Planet

In its 2021 Threat Force Intelligence Index , IBM reported that manufacturing and financial services were the two industries most at risk for attack, making up 23.2% Fraud.net offers specific solutions for a number of industries, including gaming, financial services, and eCommerce, as well as government organizations.

Analytics 104
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Nation-State-Sponsored Attacks: Not Your Grandfather’s Cyber Attacks

Data Matters

Threat hunters at Kaspersky said that data collected on the attack indicated that the attack was extremely targeted, and difficult to detect because “[t]he infection chain itself [did] not leave any traces on the hard drive, as its components operate[d] in memory only, thus facilitating a fileless attack with a small footprint.”