Smart Data Collective

DECEMBER 5, 2021

This is going to be necessary to stave off the growing wave of data breaches that could hurt their businesses. One broad area of challenge right now is cybersecurity. More cybersecurity professionals have a background in big data to be able to address these concerns. What is Zero Trust Architecture?

Cybersecurity 286

Cybersecurity Monitoring Big Data Digital 286

Smart Data Collective

JULY 23, 2021

AI Makes Hackers More Worthy Adversaries to Cybersecurity Professionals. The consequent cybercrime caused (like the fraudsters mentioned above) is straining almost every imaginable industry and testing the limits of cybersecurity at every front. They will continue investing in AI technology to execute more vicious attacks.

Cybersecurity 349

Cybersecurity Supply Chain Government Artificial Intelligence 349

Cprime

JANUARY 30, 2024

What are the benefits of AI in personalized treatment plans? – AI analyzes a patient’s medical history, genetics, and lifestyle to create personalized treatment plans, which is especially impactful in cancer treatment for diagnosing, personalizing treatments, and monitoring survivors.

Healthcare 52

Healthcare Innovation Artificial Intelligence Cybersecurity 52

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data.

Data Security 75

Data Security Data Modelling Cybersecurity Documentation 75

GAVS Technology

MARCH 18, 2024

Today, the healthcare industry faces several risks of data breaches and other data security and privacy challenges. Automation in healthcare systems, digitization of patient & clinical data, and increased information transparency are translating directly into higher chances for data compromise.

Healthcare 52

Healthcare Cybersecurity Digital Data Security 52

Analysts Corner

SEPTEMBER 25, 2023

By analyzing an individual’s financial situation, investment goals, and risk tolerance, the AI could provide tailored investment strategies, offering advice on everything from portfolio diversification to retirement planning. Continuous testing, rigorous data security measures, and adherence to ethical AI guidelines will be essential.

Finance 130

Finance Artificial Intelligence Cybersecurity Banking 130

Smart Data Collective

JANUARY 25, 2022

Data security is becoming a greater concern for companies all over the world. A number of hackers started targeting companies for data breaches during the pandemic, partly because so many employees were working remotely. The frequency of data breaches is not likely to subside anytime soon.

Data Security 274

Data Security Cybersecurity Big Data Monitoring 274

Cprime

JANUARY 23, 2024

Data Security and Privacy Concerns Data security and privacy are critical concerns in generative AI deployment. Functional risks like model drift and data poisoning require continuous monitoring and model retraining.

Healthcare 52

Healthcare Cybersecurity Government Data Security 52

Sisense

APRIL 27, 2021

According to Ty Sbano, Sisense Chief Security Officer, the answer involves focusing on company culture through education and communication (even if it’s virtual), understanding human error and how to mitigate it, and engaging in security planning and testing. The time to plan is now. Culture is everything,” said Ty.

Cybersecurity 52

Cybersecurity Planning Data Security Documentation 52

Smart Data Collective

AUGUST 14, 2022

Once DLP identifies a violation, it initiates remediation protocols through alerts and encryption, thus preventing any end-user from accidentally sharing valuable data or falling victim to a successful malicious attack. The primary approach of DLP software is to focus on monitoring and control of endpoint activities.

Monitoring 309

Monitoring Cybersecurity Planning Data Management 309

Smart Data Collective

APRIL 10, 2019

They will monitor the activity so that they can glean the patterns of the users. Many of them offer family plans and low-cost subscription rates. Once the attacker obtains the password and metadata, they can use this information for whatever purpose they want. Experienced hackers may focus on businesses that rely on a large network.

Banking 168

Banking Retail Monitoring Planning 168

Data Pine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95

Astera

JANUARY 2, 2024

Execution and handling of data operations. Objective Ensure data quality, security, and compliance. Efficient and effective handling of data. Activities Policy creation, enforcement, and monitoring. Data collection, storage, processing, and usage. Addresses immediate data handling requirements.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52