Deloitte and Twine Partner to Secure IAM for the Modern Cyber Era

Identity and Access Management (IAM) has emerged as a critical cybersecurity challenge, with compromised identities serving as the primary attack vector in many breaches. Research shows that a substantial portion of security incidents originate from stolen passwords, poorly managed permissions, or orphaned accounts belonging to former employees who were never properly deactivated.

Attackers exploit these weaknesses by hijacking legitimate identities to move freely within organizations. Static identity management approaches no longer provide adequate protection. Organizations require a dynamic strategy that continuously analyzes context, behavior, and risk levels while implementing structured processes and multi-layered defense mechanisms.

IAM teams face mounting pressure as user bases, applications, and systems proliferate. This growth is compounded by a shortage of skilled cybersecurity personnel, leaving identity teams in reactive mode rather than executing proactive, policy-driven initiatives. The proliferation of specialized tools-including PAM, IGA, MFA, and anomaly detection platforms-adds operational complexity, increases the likelihood of permission management errors, and contributes to team burnout.

The Future of IAM: AI Digital Employees#

Advances in artificial intelligence are enabling organizations to transition from manual processes to autonomous mechanisms powered by Agentic AI. Intelligent agents analyze context, intent, and risk level while making decisions aligned with organizational policy. These systems provide real-time information analysis, detect anomalous behavior, and take controlled actions with human oversight built in. This approach requires precise design specifications, clearly defined operating boundaries, and appropriate governance frameworks.

The collaboration between Deloitte and Twine Security addresses the need to integrate autonomous AI agents alongside human employees in cybersecurity departments. These agents execute security tasks end-to-end, including autonomous orchestration, report generation, permission exception handling, identification of excessive permissions, and implementation of mitigation actions. Twine’s AI digital employee, Alex, augments cybersecurity team capabilities by managing operational workload so human experts can focus on strategic priorities.

Organizations implementing autonomous capabilities have reported measurable reductions in workload and excessive permissions. Twine’s founding team recognized the implementation challenges organizations face due to operational overload and complexity. Their Agentic AI model enables teams to focus on critical work while routine operations execute autonomously. Deloitte supports organizations in modernizing identity management systems by embedding autonomous AI agents into flexible, unified, AI-native frameworks that reduce risk and streamline operations.

Closing Security, Efficiency, and Operational Gaps#

The partnership enables development of long-term identity management strategies designed for cloud environments, tool proliferation, and AI-based threats. Combining consulting expertise with autonomous technology allows organizations to build effective, flexible frameworks while reducing risk and human error.

According to Lior Kalev, Partner and Head of Cyber Center at Deloitte Israel, staying ahead of tomorrow’s cyber threats requires a combination of deep advisory expertise, business understanding, and advanced AI capabilities. Partnering with innovative cybersecurity companies enables implementation of AI-driven processes that deliver measurable customer value.

The transition to Agentic AI establishes a foundation for effective digital identity protection and organizational resilience, marking a new chapter in identity management for cybersecurity.