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Adding more embarrassment to last year’s Twitter Data Breach, a new finding on the web has discovered a new database dump exposed on an online hacking forum. It appears to be a bigdata leak as information related to about 235 million users was found by a cyber intelligence firm named Hudson Rock, based in Israel.
The good news is that the firm that also into COVID-19 detection has immediately secured the database and neutralized the cyber attack consequences within hours, before any bigdata disaster could occur. DDC has notified those who were affected by the cyber incident.
From identitytheft to credit card numbers being taken away, Machine Learning and Artificial Intelligence play an instrumental role in establishing new standards for cyber security. While the potential of BigData is vast, it might lag behind as a standalone tool to deal with hackers due to the enormous volume of data to analyze.
The Privacy Paradox of AI Data privacy is crucial for AI security. AI systems depend on vast amounts of confidential and personal data, making its protection essential. Breaches can lead to identitytheft, financial or IP loss, and eroded trust in AI. About the author : Ron Reiter , CTO and cofounder of Sentra.
Unauthorised transactions made with the help of lost or stolen credit cards, counterfeit cards, ID document forgery and identitytheft, fake identification, email phishing, and imposter scams are among the most common types of payment fraud today.” Cloud technologies also play an important role in the latest anti-fraud developments.
Is There Ever Too Much Data? As a security practitioner, you know that businesses are fuelled not only by people but by data. Years ago, the phrase “BigData” was a new, innovative way to gain a business advantage. Now, bigdata is the norm. This is a new level of ransomware meets blackmail.
These evils include hacking, identitytheft, online surveillance, and cyberstalking. We all know the dangers associated with hacking, identitytheft, and internet surveillance, thanks to Facebook and other social networking platforms. He writes about online security and privacy, IoT, AI, and BigData.
Hastily implemented cloud data processes and security needs failing to keep pace with tech innovations have left financial data exposed. Meanwhile, greater reliance on mobile devices for everything from managing our bank accounts to checking credit scores leaves fintech users more at-risk than ever.
Gartner defines digital risk management as “the integrated management of risks associated with digital business components, such as cloud, mobile, social, bigdata, third-party technology providers, OT and the IoT.”
Lack of access to security features, such as passwords for admins, may result in a data breach where unauthorized persons within the organization may access sensitive data and leak it to malicious insiders. A lack of security features to upgrade or downgrade a user may result in mismanagement of user accounts.
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