Most AI risk today is invisible, running outside your controls, inside your vendors, or acting on its own. These are the risks every organisation shares. The same signed receipt that verifies your AI savings turns each one from a blind spot into something you can prove.
Staff paste customer data, code, and financials into consumer AI with no oversight. One in five organisations has already been breached through shadow AI, at a cost of roughly $670K more per incident (IBM, 2025). You can't govern what you can't see.
A supplier quietly adds an AI sub-processor in a routine update, and it now touches your customer data. You stay accountable, but you cannot see what their model actually did, or enforce your data-processing agreement with anything but trust.
Autonomous agents move money, change records, and call tools. When every individual action looks legitimate, misuse and drift stay invisible until after the damage is done, and ordinary logs can be altered by whoever gained access.
Hallucinations slip into real decisions, and ordinary logs can be edited after the fact, so they don't survive an audit, a regulator, or a court. A confident number and a defensible number are not the same thing.
Everyone sells "block the leak." No one can prove it never happened. AskLedger gives you a tamper-evident record of exactly what data each AI touched, so you can prove it was never sent, retained, or trained where it shouldn't be.
A signed receipt of every AI-data interaction shows exactly what was accessed, and proves it wasn't retained or used to train.
Verifiable proof a third-party AI touched only permitted fields, so you enforce your DPA with evidence, not trust.
A record of the data-to-AI boundary, so you can detect leaks, prove control, and show regulators you have it.
Tamper-evident evidence of what happened at each step, provable later, with only a public key.
See how receipts work, or talk to us about the risks specific to your stack.