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Technologies that were figments of the imagination a dozen years ago, if they were conceived of at all, quickly become mainstream — think generative artificialintelligence (GenAI) or blockchain. It’s obviously a step to penetrationtesting, but it’s also helpful for architect, engineer, and analyst jobs.
These attacks are becoming more sophisticated, targeted, and damaging, threatening dataprivacy, financial stability, and national security. The use of artificialintelligence and machine learning has enabled hackers to automate their attacks, making them more efficient and harder to detect.
Luckily for all of us, anyone can learn powerful dataprivacy and security techniques to keep the bad guys on the outside where they belong. On top of making your life easier and more productive, they hold sensitive information that should remain private.
As cyber threats become increasingly sophisticated, integrating artificialintelligence (AI) into cybersecurity is more than a passing trend — it’s a groundbreaking shift in protecting our digital assets. Read our latest news article on the RAMBO attack and Tracelo Data Breach.
Meta has announced plans to utilize data collected from European Union users to train its artificialintelligence systems, The post Meta to Use EU User Data for AI Training, Offers Opt-Out appeared first on Daily CyberSecurity.
Kapczynski Erin: Could you share your thoughts on the role of artificialintelligence, machine learning and the growth of IoT devices in both cyber defense and cyberattacks? Organizations can and should get ahead of these compliance trends to gain competitive advantage and to assure long-term viability.
These range from getting the basics right, like ensuring the correct firewall is in place, to higher-level challenges, such as API security and dataprivacy. The Open Web Application Security Project (OWASP) maintains Zed Attack Proxy (ZAP) , a free, open-source penetrationtesting tool.
The financial industry is experiencing a gold rush of sorts with the integration of ArtificialIntelligence (AI) technologies. With huge data volumes processed by the financial services sector, AI holds much promise for the industry. and investor doubts.
What is Shadow ArtificialIntelligence? Shadow artificialintelligence (AI) shares similarities with shadow IT, which is the unauthorized use of technology and software within organizations. Use penetrationtesting and vulnerability scanning tools to identify and address security risks proactively.
Abnormal Security applies artificialintelligence to catch suspicious identities, relationships, and context within email communications and can help organizations securely migrate from legacy to cloud infrastructure. Ethyca is compliance -focused as regulatory enforcement becomes an essential part of dataprivacy.
But is a "village" the best way to test AI risk? The AI industry is pointing to the AI Village at DEF CON as a venue for assessing cybersecurity risk. Experts have their doubts. The post Is a DEF CON Village the right way to assess AI risk? appeared first on The Security Ledger with Paul F.
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