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RSAC insights: Concentric AI directs Google’s search techniques towards locking down data sprawl

The Last Watchdog

Security teams generally knew which on-premises server held certain batches of both structured and unstructured data; they could narrowly control access to a company’s on-premises data centers, and that was deemed good-enough, security-wise, he says.

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NEWS ANALYSIS Q&A: The early going of Generative AI and LLMs impacting cybersecurity

The Last Watchdog

Related: GenAI’s impact on elections It turns out that the vast datasets churned out by cybersecurity toolsets happen to be tailor-made for ingestion by Generative AI ( GenAI ) engines and Large Language Models ( LLMs.) LW: Tell us a bit about Resecurity’s implementation. Loveland: We’ve integrated GenAI and LLM into our services platform.

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Researcher’s audacious hack demonstrates new type of supply-chain attack

Malwarebytes

Instead of responding with an A record, the attacker’s name server will respond with a CNAME, MX or TXT record, which allows a large amount of unstructured data to be sent between attacker and victim. The most gratifying part of this method is that it does not rely on social engineering. Version confusion.

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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

Part of this process includes identifying where and how data is stored—on-premises, in third-party servers or in the cloud. While an organization might already know the location of structured data such as a primary customer database store, unstructured data (such as that found in stray files and emails) is more difficult to locate.

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Five Key Points When Preventing Cybersecurity Attacks in a World of Hybrid Working

Security Boulevard

Awareness of social engineering techniques – with employees working more from home, there is a clear need for employers to place more trust in workers’ ability to identify social engineering techniques and detect phishing attempts. Ensuring Data Loss Prevention – data has become perhaps the most valuable asset an organization holds.

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How Generative AI Will Remake Cybersecurity

eSecurity Planet

Unlike traditional deep learning systems – which generally analyze words or tokens in small bunches – this technology could find the relationships among enormous sets of unstructured data like Wikipedia or Reddit. This involved assigning probabilities to the tokens across thousands of dimensions.

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The Evolution of SIEM: Where It’s Been and Where It is Going

CyberSecurity Insiders

The most prevalent first- and second-generation SIEMs also came with very basic correlation engines, the best they knew how to do at that time. Splunk was founded in 2003 as essentially the first-ever flexible and powerful store and search engine for big data. Phase 2: Splunk entered the market, making search and access easy.

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