COMMENTARY: Invisible connections drive the modern enterprise. Today, beneath every automated workflow lies a complex web of API keys, OAuth tokens, and service accounts that let sensitive data move across apps and services. Many organizations are dangerously exposed. Recent high-profile breaches reveal a disturbing pattern: attackers target app-to-app access to move laterally and remain undetected. With third-party breaches surging to 30% of all incidents , recent events at GitHub and Snowflake confirm that non-human credentials are cybercriminals' new frontier. The rise of AI usage amplifies the challenge. AI tools and agents often inherit the same API access as humans, but they operate at machine speed and scale. They process vast data and trigger complex, multi-service workflows, all while flying under the radar of legacy security monitoring. Consider an AI productivity tool connected to Google Workspace, Salesforce, and Slack. The AI agent holds tokens granting it access to emails, customer data, and communications. If these tokens are compromised, the attacker gains a rapid, cross-application foothold across the entire SaaS and AI ecosystem, often without triggering the human-focused behavioral analytics designed to spot suspicious activity. The security community has invested heavily in monitoring and enforcing constraints around activities based on human identities. Now it’s time we increase visibility and control over the more prevalent and insidious non-human i