eMudhra Highlights Emerging ‘Behavioral Trust’ Risks in Autonomous AI Systems

eMudhra issued a press release on March 11, 2026, drawing attention to the emerging cybersecurity challenge posed by autonomous AI systems. The company emphasizes the need to move beyond simple authentication to establish ‘behavioral trust’ frameworks. This is critical as AI robots and physical systems interact with public infrastructure, requiring verification of unpredictable or manipulated behavior to ensure safety and resilience.

The Challenge of Autonomous AI Deployment

eMudhra today highlighted a significant governance challenge emerging as humanoids and physical AI systems begin operating in real-world environments. The core issue revolves around how organizations can verify not just the identity of these autonomous machines, but also their behavior.

As AI powers systems across manufacturing, healthcare, logistics, and public infrastructure, traditional security focused on authentication alone is insufficient to address new risks. eMudhra described a potential “behavioral trust gap,” where systems, though verified as legitimate, might still act unpredictably, deviate from parameters, or be manipulated. This creates new attack surfaces, including operational safety risks.

Introducing Behavioral Trust

The urgency is increasing as physical AI systems interact with critical infrastructure without direct human oversight. Kaushik Srinivasan, EVP at eMudhra, stated that the next challenge in digital trust is verifying how autonomous machines behave. He warned that without behavioral trust, AI autonomy introduces systemic risk.

eMudhra suggests that emerging trust models must integrate several elements:

  • Cryptographic identity
  • Behavioral monitoring
  • Policy enforcement
  • Continuous verification of autonomous actions

Broadening the Scope of Trust

The company noted that this challenge extends beyond enterprise settings to vital areas like digital public infrastructure (DPI), smart cities, and industrial automation. Establishing robust governance frameworks for autonomous behavior is becoming a priority for regulators globally.

eMudhra asserts that as global investment in robotics and AI accelerates, establishing trust in physical AI systems will be critical to ensuring resilience, safety, and public confidence in the emerging autonomous economy.

About eMudhra

eMudhra operates as a global provider of digital identity, authentication, and trust services, specializing in PKI, digital signatures, and Identity and Access Management (IAM). The company serves customers in more than 35+ countries, focusing on secure transactions and digital public infrastructure at scale.

Source: BSE

Previous Article

Equitas Small Finance Bank Schedule of Investor and Analyst Meetings in Singapore

Next Article

Vardhman Textiles Limited Shareholders Approve Alteration to Memorandum of Association Regarding Electricity Operations