Attribution Gap

Why This Matters Now: The rise of advanced automation and artificial intelligence has introduced new challenges to traditional identity and access management (IAM) systems. The concept of a “Superhuman Identity”—where identities are not just human users but also automated processes, AI agents, and other non-human entities—has exacerbated the Attribution Gap. This gap makes it increasingly difficult to attribute actions to specific users or entities, posing significant security risks. 🚨 Breaking: As organizations adopt more AI-driven processes, the Attribution Gap becomes a critical security concern. Ensuring accurate attribution is essential for maintaining trust and protecting sensitive data. 40%Of breaches involve unknown actors 75%Increase in automated attacks Understanding the Attribution Gap The Attribution Gap in IAM arises from the complexity of modern IT environments. Traditional IAM systems were designed primarily for human users, focusing on authentication, authorization, and account management. However, with the advent of AI, IoT devices, and microservices, the landscape has shifted. These new entities operate at machine speed and scale, making it challenging to track and attribute their actions accurately. ...