More businesses are turning to AI for cyber security solutions. AI can detect and analyse real-time network activities faster with better accuracy than traditional cyber security methods. Despite its apparent benefits, using AI poses unique risks due to the technology’s higher complexity and the amount of data required to remain updated against modern attacks. The enterprise can also be susceptible to adversarial AI attacks. Human insights are still needed to deal with these vulnerabilities in AI and machine learning security solutions.Read more at: https://www.thesslstore.com/blog/artificial-intelligence-in-cyber-security-the-savior-or-enemy-of-your-business/

Poaching is one of the leading factors for dwindling population of protected species. PAWS (Protection Assistant for Wildlife Security) is an AI system that tracks and predicts poaching activities in a given area. It uses previous data from SMART (Spatial Monitoring and Reporting Tool) to calculate the most efficient patrol routes for rangers. As more poaching data is added to SMART, PAWS gets better at predicting where poachers are likely going to hunt next. PAWS uses computational game theory and AI simulation to understand possible future poaching strategies for mitigating attacks with limited resources. Read more at: https://www.engadget.com/paws-anti-poaching-ai-predicts-where-illegal-hunters-will-show-up-next-20361