Rocket perpetual ~$287K on Sep 5 via price manipulation on a dormant market. Deposits/trading paused. SlowMist called it. No full published attacker address yet.
Liquid / Blockstream — ~3,998 BTC (~$320M) left the peg wallet on Sep 6 after an Elements mint bug (unbacked L-BTC). Bridge paused; actors claim whitehat; funds still parked.
bitcoin bc1ql4mfu6aundtkksxklfajs2h3t9nzcd6gyqjlte
https://t.co/XrAnO4R3fA
Compliance has always been expensive, manual, and full of information silos. That’s why it has historically attracted significant investment in tools.
But now, with AI and blockchain, investor interest has clearly accelerated.
Measuring on-chain privacy is a paradox.
These protocols exist to hide the numbers.
So we built a proxy — and the projection surprised us. 🧵
EN/PT
https://t.co/uWRwk46DDR
Not All Blockchain Privacy Protocols Carry the Same Compliance Risk
When many compliance teams hear "privacy protocol," they often place everything in the same bucket. In reality, blockchain privacy technologies span a wide spectrum
ZachXBT explains his superpower: combining OSINT, onchain analysis, and investigative tools to uncover what others miss. 🕵️♀️
Data gathering doesn’t have to be difficult, tools like AuditKey can help streamline the process
Preventing fraud today requires verifying KYC records, navigating complex regulations, and managing ZK-Privacy Pools. Legacy systems can’t keep up with modern threats.
@AuditKey is a Privacy-first compliance infrastructure to enable safe scalable stablecoin adoption for fintechs
Why is compliance AI’s biggest enterprise opportunity? a16z explains how AI is turning compliance from a slow cost center into a 24/7 revenue driver by transforming complex regulations into executable code. The old playbook of "throwing more humans at the problem" is broken
The volume of suspicious activity reports sent to COAF grew 2x year-over-year, while the team still needs to turn that into actionable intelligence for law enforcement.
And it's not just Brazil. FinCEN processes millions of SARs annually in the US, a volume no compliance team can manually triage at speed.
No human workflow scales at that rate. But an agent trained on on-chain patterns, transaction graphs, and regulatory context can.
The future of AML isn't more analysts. It's smarter systems that know what to escalate and what to ignore.
#AML #BlockchainCompliance #AI #FinancialIntelligence #RegTech
This is the reason that we created agents to manage Proof of Innocence and Audit keys in Privacy Pools that have already processed $4 billion worth of transactions @RAILGUN_Project@SuiNetwork@aztecnetwork@OasisProtocol
Mythos and the new generation of agentic AI systems change the cyber threat landscape completely.
Attackers are no longer limited to manual research and execution. Autonomous systems can test vulnerabilities, simulate attack paths and operate at machine speed.
That’s why blockchain defense cannot remain post-incident.
Our approach monitors the mempool before settlement and can trigger defensive actions before the exploit reaches the chain.
We also found that many attackers rehearse on testnets before mainnet execution. In some analyzed cases, traces appeared before the actual exploit.
The future of blockchain security is predictive, not forensic.
To address the challenges of stablecoin compliance, we built an open-source forensic framework at Duke FinTech. It integrates on-chain data collection counterparty identification, and risk scoring, grounding its analysis in updated AML legislation via RAG. https://t.co/F5R0LM1ltS
In the Privacy Pools era, the Audit Key bridges privacy and accountability.
Enforcement won’t mean tracing everything — it will mean selective disclosure.
And as the dominant liquidity rail, stablecoins become the natural anchor for that mechanism.
Over the past year, I’ve been researching a structural paradox:
What happens to Anti-Money Laundering (AML) when blockchain privacy increases?
Traditional AML is failing costing billions in compliance overhead while intercepting only 0.1% of illicit funds.