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Monday, July 7, 2025

There used to be a moment of hesitation.

A typo. A weird pause. A phrase no human would ever say out loud. That’s how we knew the voice in our inbox wasn’t real. That the profile sliding into our DMs wasn’t flesh and blood. That the comment hyping the new altcoin drop was a bot running on Red Bull and shell scripts.

But not anymore.

Now the bots pass interviews. They write press releases. They make financial trades, generate legal contracts, and flirt on dating apps — without blinking. Welcome to the uncanny valley's final form: an internet where everyone sounds human, but your users can’t trust your agents and regulators won’t either, unless you can prove who or what is behind them.

Today’s enterprise workflows are increasingly being delegated to autonomous systems — from sales agents to supply chain bots, from AI customer support to DAO governance participants. But as we integrate agents more deeply, the core question becomes:

Can you verify who or what you're dealing with — and can you trust them to act responsibly within your system?

Scenarios playing out in production today:

•Deepfake CEOs issuing fake payment instructions.
•Autonomous agents impersonating staff in internal tools.
•Synthetic identities generating engagement or misleading insights.
•Third-party AI services acting without transparency or oversight.

This is no longer speculative. It’s already affecting brand reputation, compliance, and bottom-line security.

That’s where provenance becomes survival.
It’s not enough to know what something is. You need to know where it came from, who authorized it, what it’s allowed to do, and whether you can trust it with a decision that matters.

And for that, you need a system that’s built to verify agents, not just people.

That’s where cheqd comes in.

cheqd enables organisations to embed cryptographic trust directly into the identity layer of their AI agents. Not a UI badge. Not a compliance checklist. But a programmable, portable, tamper-evident provenance system, using open standards like verifiable credentials and decentralized identifiers (DIDs).

With cheqd, your agents can:

•Present digital credentials from known issuers (e.g. your enterprise, or a trusted third party)
•Carry proof of origin, authorisation, and purpose
•Integrate with on-chain or cross-domain trust registries
•Operate across APIs, ecosystems, or chains with traceable trust

With cheqd, AI agents don’t just show up in your workflow with a smile and a generic name. They show up with receipts.

You want to know if it’s human or AI?
Fine. But with cheqd, you get to ask the better question:
“Can I trust this agent — regardless of what it is?”

Because in the agentic economy, real doesn’t matter if it’s not verifiable.

And verifiable is what cheqd does best.

The future isn’t human vs. machine.
It’s verified vs. unverifiable.
And only one survives the trust collapse.

*Sponsored article

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Albert Gonzalez played both sides—busting cyber crooks for the FBI while running the biggest card-stealing empire of all time. He jacked 170 million credit cards, exploited sloppy Wi-Fi and weak SQL, and blew cash like nobody was watching—until they were. Twenty years in prison later, the feds still haven’t found $25 million of his loot… and probably never will.

We provide an anonymous platform for whistleblowers and DeFi detectives to present their information to the community. All authors remain anonymous. 
We are all rekt.