AIs Vulnerable Code: Securing Tomorrows Automation
The rise of Artificial Intelligence (AI) has ushered in a new era of Innovation, transforming industries from healthcare to finance. However, alongside its immense potential, AI introduces novel security challenges that demand careful consideration. Securing AI systems is no longer an option, but a necessity to safeguard data, maintain trust, and prevent malicious exploitation. This blog post delves into the critical aspects of AI security, exploring the threats, vulnerabilities, and best practices for building resilient and secure AI systems.
Understanding AI Security Threats
Data Poisoning
Data poisoning occurs when malicious actors inject flawed or manipulated data into the AI model's training dataset. This can lead the model to learn incorrect patterns, resulting in biased or unpredict...
