Generative AI Attack Vectors Drive Need for Blockchain Security

Generative AI is redefining the enterprise cybersecurity perimeter, shifting vulnerabilities from traditional networks and endpoints to language models, prompts and agent workflows. Researcher Eito Miyamura of Edison Watch demonstrated how malicious prompt injections in ordinary emails or calendar invites can hijack AI agents—accessing and exfiltrating sensitive data without malware. Industries now face “Phishing 3.0,” where a crafted sentence exploits unfiltered prompts. Existing SOCs and EDR tools cannot detect these language-based attacks. To address this security gap, Edison Watch is developing open-source AI firewalls and data valves that enforce deterministic checks and prevent data exfiltration. A layered “bodyguard agent” model is proposed to monitor and constrain rogue AI agents. Incorporating blockchain security, BSV’s Teranode architecture offers immutable audit trails, real-time policy enforcement and smart-contract guardrails. Teranode delivers enterprise-grade scalability—handling millions of transactions per second—and low-latency validation to log prompts, API calls and agent behaviors on-chain. As generative AI systems become integral to workflows, enterprises must adopt agent-aware governance, enable only necessary tools, and embed ledger-backed integrity at the protocol layer. Combining AI firewalls with blockchain security infrastructures outlines a blueprint for resilient digital ecosystems, rebuilding trust at the architectural level—starting with BSV Teranode.