Remove Artificial Intelligence Remove Data privacy Remove Encryption Remove Social Engineering
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LRQA Nettitude’s Approach to Artificial Intelligence

LRQA Nettitude Labs

Data Privacy Data privacy is a crucial concern in AI applications, as they often deal with large amounts of personal and sensitive information. Data minimization : Collecting and storing only the necessary data required for the AI system’s intended purpose, reducing the risk of unauthorized access or misuse.

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Three Risk Mitigation Strategies to Address the Latest Data Security Threats

CyberSecurity Insiders

By Dannie Combs , Senior Vice President and CISO, Donnelley Financial Solutions (DFIN) As security threats to data continue to ebb and flow (mostly flow!), I am keeping a close eye on regulations, identity and access management (IAM), and Artificial Intelligence (AI) — and I suggest that business leaders do the same.

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SHARED INTEL Q&A: My thoughts and opinions about cyber threats — as discussed with OneRep

The Last Watchdog

Kapczynski Erin: Could you share your thoughts on the role of artificial intelligence, machine learning and the growth of IoT devices in both cyber defense and cyberattacks? Erin: What are some of the most common social engineering tactics that cybercriminals use?

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Cybersecurity Outlook 2022: Third-party, Ransomware and AI Attacks Will Get Worse

eSecurity Planet

Third-party security, ransomware , artificial intelligence (AI) and decentralized finance (DeFi) are some of the threats you can expect to see more of this year – with the potential for far worse results than we’ve seen in the past.

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5 Cybersecurity Trends in the Professional Services Sector

Security Affairs

Hackers aren’t only coders — they’re also social engineers. IT departments will also need to train employees on the security of personal devices, and — if necessary — restrict what sort of devices can access sensitive data. Data Privacy and Data Stewardship Are Becoming High Priorities.

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And the Winner of the 2021 RSAC Innovation Contest is…

eSecurity Planet

Cape Privacy Encrypted learning privacy software 2018 New York, NY $25M. Open Raven Data security platform 2019 Los Angeles, CA $19.1M. Satori Data access cloud security 2019 Tel Aviv, Israel $5.3M. As mentioned in their presentation, socially engineered attacks are the most costly security threat at $2.1B