Granica’s Post

As AI adoption grows, so does the risk of a data breach. We take a look at some common data protection challenges and show you how to solve them here 👇 https://bit.ly/3X7b1Ut #AI #DataPrivacy

#artificialintelligence 📣 Artificial intelligence (AI) has been on everyone’s radar, at least since ChatGPT became such a hit. But the use of AI in the professional world far outdates the advent of ChatGPT. AI has been developing steadily for several years now and is gradually finding its way into many industries. 👉Read the full article by DURY CONSULT here : https://lnkd.in/evnf-fK6 at Silicon Luxembourg 👤 Sandra Dury #siliconluxembourg #ai #dataprotection #data #cybersecurity #luxembourg

In our newest blog, we explore the incredible transformation #AI brings to business processes while shedding light on the crucial security considerations that accompany it. 🛡️ If you're already leveraging AI or planning to, understanding and mitigating these risks through robust data security practices is non-negotiable. 💪 📚 Read more: https://lnkd.in/giBPsUW9 📲 If you have any questions on automation or AI, please contact us here: https://lnkd.in/gYgiSm3R #AI #BusinessTransformation #DataSecurity #Innovation

One of THE key topics 2024. To find out more: read (the article) & meet (the experts).

Looking to utilize AI in your business? There are several data risks that every organization should be aware of when it comes to AI and Data Policy. Check them out: https://lnkd.in/e3HYveaA

☠️ Data Poisoning: The Silent Killer of AI ☠️ Ever heard of someone putting bad data in your salad? Well, malicious actors can do the same to AI models, leading to biased and harmful outcomes! What is data poisoning? It's when attackers sneak bad data into an AI's training set, corrupting its learning and making it produce wrong decisions. ❌ This can be anything from fake images to wrong Malware filtering rules, all designed to trick the AI. Why is it dangerous? Because bad data leads to bad decisions! Imagine a loan approval system poisoned to reject certain groups, or a self-driving car mistaking a stop sign for a yield. The consequences can be serious, unfair, and even deadly. What can we do? ️ Here's the good news: we can fight back! Data hygiene is key! Scrutinize your data for anomalies and inconsistencies. ️ ⏺ Use advanced detection methods. Tools can help sniff out poisoned data before it's too late. 🔎 Be transparent and accountable. ️ Share best practices and collaborate to build secure AI systems. 🤝 Let's keep AI healthy and ethical! Together, we can prevent data poisoning and ensure AI works for good, not evil. #AI #DataSecurity #ResponsibleAI #StopDataPoisoning You can read more about data poisoning here: https://lnkd.in/dcqcxyBh P.S. Share your thoughts on data poisoning in the comments! What are your biggest concerns? How can we work together to keep AI safe? ️

Good article on AI models from a security perspective in the Enterprise.

This article discusses how AI is revolutionizing data collection, processing, and analysis. Great read!🚀

Our Global CEO survey highlighted cybersecurity as the #1 concern for CEO in relation to AI. Trust is the main factor in adoption of AI.