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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

A coordinated partnership: How these tools work together By using IBM Db2, IBM watsonx Assistant and NeuralSeek, we offer a comprehensive solution that streamlines data management, enhances accessibility, and helps to ensure security and integrity across your enterprise.

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AIIM's Information Management Training - Cost, Options, and FAQs

AIIM

For the most part, I’ve stayed away from blogging about AIIM's training for two reasons. We regularly get questions about AIIM training – what course is right for a particular person, role, or circumstance, what the courses cover, what they cost, etc. So I thought it might be of value to do an overview of AIIM’s training offerings.

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How Secure Is Cloud Storage? Features, Risks, & Protection

eSecurity Planet

When assessing the overall security of cloud storage and choosing a solution tailored to your business, it helps to determine its features, potential risks, security measures, and other considerations. It excels in remote access, scalability, and security, with distributed storage options and privacy adherence capabilities.

Cloud 125
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How Generative AI Will Remake Cybersecurity

eSecurity Planet

In March, Microsoft announced its Security Copilot service. In a blog post , Microsoft boasted that the Security Copilot was the “first security product to enable defenders to move at the speed and scale of AI.” It was also trained on the company’s global threat intelligence, which included more than 65 trillion daily signals.

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Security Data Lakes Emerge to Address SIEM Limitations

eSecurity Planet

Every security team craves clear visibility into the endpoints, networks, containers, applications, and other resources of the organization. To address that limitation, a new tool is emerging: Security data lakes (SDLs), which might provide a solution that enables unfiltered visibility for security teams. What is SIEM?

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The Impacts of Data Loss on Your Organization

Security Affairs

Examples: Customer Personal Identifiable Information, transactional data, inventory records, and financial statements. Unstructured Data: Unstructured data, on the other hand, is characterized by its lack of organization and predefined format. Cyber Attacks: Cyber-attacks are another cause of data loss.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Supervised learning Supervised learning techniques use real-world input and output data to detect anomalies. These types of anomaly detection systems require a data analyst to label data points as either normal or abnormal to be used as training data.