As more companies rely on artificial intelligence (AI) systems to make decisions, new types of cyberattacks are emerging that exploit these systems in subtle ways. Unlike traditional hacking methods that require passwords or direct access, these attacks manipulate the AI's decision-making process to divert funds or resources without triggering alarms. These threats are particularly dangerous because they operate under the radar, making them difficult to detect and even harder to prevent with conventional security tools. This growing risk has created a significant gap in both cybersecurity and legal frameworks. Current security measures are designed to stop unauthorized access, but they are less effective against attacks that manipulate AI reasoning. As a result, companies may suffer financial losses without ever realizing they've been targeted. Legal systems, too, are struggling to keep pace with these evolving threats, leaving many organizations vulnerable to exploitation. In response to this challenge, a French startup called Aurel is developing a groundbreaking firewall specifically designed to counter these AI-based attacks. Unlike traditional firewalls that focus on blocking unauthorized access, Aurel's system monitors and analyzes the AI's decision-making in real time. It identifies patterns that deviate from normal behavior, flagging potential fraud before it can cause irreversible harm. This proactive approach marks a significant shift in how businesses protect their AI systems from internal and external threats. Aurel's technology is still in its early stages, but it represents a crucial step in addressing the vulnerabilities of AI-driven decision-making. As more industries adopt autonomous AI systems, the need for advanced security measures like Aurel's becomes increasingly urgent. By focusing on the reasoning process itself, this new firewall offers a promising solution to a problem that traditional cybersecurity tools are not yet equipped to handle.