Cybersecurity in AI

As artificial intelligence (AI) becomes more integrated into businesses and everyday life, ensuring cybersecurity in AI is crucial to protect against evolving threats. AI-powered systems are vulnerable to adversarial attacks, data poisoning, and algorithm manipulation, which can compromise decision-making and security. Implementing robust encryption, AI-driven threat detection, and continuous model monitoring helps safeguard machine learning models, automation tools, and sensitive data. Strengthening AI security frameworks ensures trust, reliability, and resilience in an increasingly AI-driven world.

DeepSeek AI

DeepSeek AI: Chinese App Limits Registrations Amid Cyberattacks and Global Buzz

Ravi Jain
DeepSeek, a Chinese AI app, rapidly gained popularity for its advanced, cost-effective AI models, surpassing competitors like ChatGPT. However, this success led to significant cyberattacks, prompting temporary registration limitations. Concerns arose regarding data privacy due to server location and a past security vulnerability. Despite these challenges, industry leaders praised DeepSeek's achievements, highlighting both its innovative potential and the broader implications for the U.S.-China AI competition and the importance of addressing cybersecurity and ethical AI issues. The text also promotes the services of a cybersecurity firm, Technijian. ... Read More