Research & Insights
Deep dives into the regulatory landscape, technology decisions, and industry trends shaping how organizations prove what happened, when, and to whom.
Average audit fees for US large accelerated filers reached $6.06M in FY2024, and SOX preparation routinely runs six to twelve months at scale. Meanwhile NIST AI RMF, the EU AI Act, DORA, the SEC cybersecurity disclosure rule, and a wave of state privacy statutes have landed on top of the existing framework stack. The substrate underneath these obligations should be rebuilt to match.
AI agents are no longer just answering questions — they are buying, selling, verifying, and transacting. A $7.3 billion market is racing to build the payment rails, identity systems, and trust infrastructure that autonomous agents need to operate in the real economy.
Audit costs rose 6.4% last year alone. But the real expense isn't the audit fee — it's the hundreds of hours your team spends chasing evidence across disconnected systems, manually cross-referencing records, and rebuilding proof packages every cycle.
Birth certificates, professional licenses, court filings, property deeds — government records touch every citizen. The verification infrastructure for these records hasn't fundamentally changed in decades.
The 2021 crypto bubble gave blockchain a credibility problem. But the underlying technology — append-only distributed ledgers, cryptographic hashing, consensus mechanisms — is mathematically sound. The problem was application, not technology.
Traditional audit logs were built for humans clicking buttons. AI agents operate at machine speed, across organizational boundaries, without human review. The verification infrastructure needs to catch up.
Modern enterprises still validate authenticity through screenshots, vendor audit trails, and email threads. As regulations like SOX, ESIGN, UETA, and eIDAS raise the bar, organizations need a stronger foundation for proving what happened, when, and to whom.
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