The rise of Artificial Intelligence identity security: why the next cyber crises starts with a login

Identity has moved to the front line of enterprise security as attackers increasingly 'log in' with stolen credentials and machine identities multiply. Post-login, agentless detection and runtime identity monitoring are emerging as the critical defence led by startups like UnoSecur.

Identity has quietly become the most dangerous attack surface in modern cybersecurity. While companies spend heavily on network, endpoint and infrastructure controls, attackers increasingly bypass those defences by stealing credentials, API keys, tokens and session cookies and simply logging in. The article cites a stat that 80% of cloud breaches involve compromised identities and warns that Artificial Intelligence agents and machine identities are accelerating risk, with machine identities outnumbering human identities roughly 20:1 and a projected 40x increase in machine identity threats by 2030.

The piece outlines why traditional tools fall short: firewalls, EDR and SIEM often cannot distinguish attacker behavior that appears as normal user activity after authentication, and multifactor authentication is often irrelevant for machine-to-machine flows. That gap has given rise to a new category: post-login, runtime identity detection. UnoSecur, led by founder Santhosh Jayaprakash, positions itself as an agentless identity security platform that connects to cloud accounts, identity providers and SaaS systems to collect identity behaviour metadata, detect anomalies and surface issues in real time. Key capabilities described include runtime identity risk scoring, toxic permission combination detection, non-human identity governance, instant breach visibility, automated identity remediation, least-privilege enforcement and compliance and audit reporting.

Real-world use cases focus on regulated sectors where identity questions dominate audits: fintech and banking (DORA, SOC2) and healthcare (PHI protection). The article explains identity sprawl – proliferating service accounts, API keys, permissions drift and zombie accounts – and how it creates over-permissioning, stale accounts, auditable gaps and large breach exposure. UnoSecur’s go-to-market is classic enterprise SaaS with optional private cloud deployments for highly regulated customers and pricing based on connections rather than users to reflect machine identity scale.

Founder lessons and market outlook round out the piece: building real-time identity processing was the hardest technical challenge, hiring talent slowed early progress, and launching in Germany introduced regulatory and operational friction. Santhosh predicts identity will be the top security investment by 2030 and says UnoSecur aims to become the independent identity layer and a category winner for the Artificial Intelligence era.

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