AI is forcing organizations to rethink how trust is established and managed. Speaking with Dark Reading News Desk, Amit Sinha explains that enterprises are already dealing with machine-to-human identity ratios of 100 to 1. And that number could soon reach 1,000 to 1 with the rise of AI agents. At the same time, digital certificates are shrinking in lifespan, making lifecycle management more complex and critical. Without automation, organizations risk outages and operational failure as identity systems struggle to scale.
From deepfake phishing to autonomous agents acting on behalf of users, trust can no longer be assumed. “We live in a world of zero-trust media,” Sinha says, emphasizing the need for cryptographic validation of content, identity, and actions. He argues that the same mechanisms used to verify software and documents must now extend to AI-generated content and agents, ensuring authenticity, provenance, and tamper resistance. For Sinha, the convergence of AI and quantum computing represents a once-in-a-generation shift in security architecture. Organizations must become “crypto-agile,” inventorying assets and preparing to transition from classical to quantum-safe cryptography.
Amit Sinha is CEO of DigiCert and a board member, with a track record of building and scaling billion-dollar companies across cybersecurity, cloud, and wireless. He holds a Ph.D. from MIT, has authored dozens of patents and publications, and is recognized globally for his leadership at the intersection of security, identity, and emerging technologies.
