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Protecting Big Data, while Preserving Analytical Agility

Thales Cloud Protection & Licensing

The age of Big Data is upon us. And, as more data is available for analytical purposes, more sensitive and private information is at risk. Protecting the confidentiality and integrity and of warehoused data and ensuring that access is controlled is vital to keeping that data secure. respondents.”.

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SHARING INTEL: Here’s why it has become so vital to prioritize the security-proofing of APIs

The Last Watchdog

Gartner’s designation of API Security as a separate category of tools signals that this effort is now underway in earnest. Cybersecurity vendors competing in this nascent space, Salt Security among them, are ramping up their efforts to leverage Big Data and advanced analytics to meet a highly dynamic and complex security threat.

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NEW TECH: Exabeam retools SIEMs; applies credit card fraud detection tactics to network logs

The Last Watchdog

He explained how Exabeam has taken some of the same data analytics techniques that banks have long used to staunch credit card fraud and applied them to filtering network data logs. Here are a few takeaways: Very Big Data. And now, Big Data is about to become Very Big Data. Coming of age.

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Don't Encrypt Everything; Protect Intelligently

Thales Cloud Protection & Licensing

For those of you already experiencing the benefits of these connectors, this new, innovative feature enables you to create an integrated workflow to simplify and strengthen data security. Intelligent Sensitive Data Protection. The first step to Intelligent Data Protection is to find the sensitive data.

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AI/ML and Digital Security

Thales Cloud Protection & Licensing

From our perspective at Thales eSecurity, the answers are about trust and protecting your data in the platform through encryption and tokenization , identity and access management , security intelligence logs , and so forth.

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Cyber Security Awareness and Risk Management

Spinone

Today, c yber security incidents lead to significant damage, alarming organizations of all types and sizes in different geographic locations. Aimed at reducing corporate vulnerability to insider threats, info security professionals should regularly monitor the most important infrastructure locations.

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AI in Cybersecurity: White And Dark Sides

Spinone

Data has to be continually analyzed and this is where modern technology and AI comes in. Risk Level Assessment It’s crucial for a business to contextualize internal cyber security intelligence with external threat data to determine real security risks and their impact on business.