Models only use 10% of their brain... TestMachine uses 100%

Testmachine AI has spent years building a proprietary AI model for smart contract security If you are in DeFi, shoot them a DM!

Now, picking up from where I left off in my previous post. Liquid farms like Aave and Spark hold capital that needs to stay accessible for short-term withdrawals. Illiquid farms, Pendle Principal Tokens, Ethena's sUSDe positions, and tokenized private credit instruments like Fasanara's mGLOBAL fund, receive capital matched to the lock durations of the junior tranche. The fractional reserve element is that the protocol does not keep all liquid capital in liquid farms. Because siUSD holders will not all withdraw at the same moment, a portion of their capital gets redirected into higher-yielding illiquid positions. This improves returns for siUSD holders above what a purely liquid deployment would achieve. Illiquid depositors also benefit, because the pooled capital base gives the protocol access to position sizes and yield sources that individual depositors could not reach alone. Both sides earn more than they would outside the system. The reserve ratio, the fraction of liquid capital redirected to illiquid strategies, is calibrated against observed depositor behavior and is visible on-chain at all times. Anyone can verify the asset-liability position at any block, not through a disclosure filing but through the live state of the contracts. That transparency is also what makes the governance layer coherent rather than decorative. liUSD holders vote on capital allocation across farms. Voting power is weighted by locked amount and unbonding period, so longer commitments carry more governance weight. But a liUSD-1w holder cannot vote on long-duration farms. You can only direct capital to strategies with durations you have personally committed to. The people directing capital into any given strategy are the same people who absorb the first loss if that strategy fails, and the slashing mechanics make that concrete. If an underlying position experiences a confirmed realized impairment, whether from a borrower default, a protocol exploit, or an oracle-driven liquidation shortfall, the loss is calculated in dollar terms and applied pro-rata across all Locked-iUSD positions at that moment, including positions currently in their unwinding period. The adjustment happens atomically and on-chain. Nobody gets preferential treatment. The lower redemption rate becomes the permanent new baseline, and if the team recovers any funds through technical or legal means afterward, those recoveries get airdropped back to the slashed holders. Senior siUSD holders are fully insulated unless the junior tranche is completely wiped out first. The loss waterfall is not a promise stated in documentation, it is hardcoded into the contracts and formally verified by Certora, who found and corrected a subtle redemption-queue ordering bug during the verification process. The bug would have let new redeemers skip ahead of users already queued during a liquidity crunch. The fix enforces strict FIFO ordering, proven mathematically to hold under all possible inputs. The full security stack includes Spearbit, a Cantina crowd audit, Certora formal verification, TestMachine pen-testing, Three Sigma ongoing review, and Hypernative for live on-chain monitoring. That rigor shows up in the numbers too. By November 2025, infiniFi had $175M in TVL, with $136M of that sitting in the locked junior tranche. A protocol where most depositors are choosing the higher-risk, longer-commitment position is not running on short-term mercenary capital. It is a protocol where people have actually internalized the tradeoff and committed to it, and the Morpho integration gives those committed depositors another layer to work with. PT-iUSD, the principal token representing a locked iUSD position, can be used as collateral to borrow USDC at up to 91.5% LTV.

Excited to be heading to @ethconf NYC next week! 🗽 TestMachine is looking to connect with teams building at the intersection of: Agentic finance & AI, Institutional DeFi infrastructure, Stablecoin payments & verification, and Smart contract security DM us or comment here if you want to meet. See you in the city that never sleeps!

I have been using testmachine for a little while now, trust me once you use it there is no going back. Azimuth by @testmachine_ai and Glider by @hexens @xyz_remedy are my top 2 security tools right now, combining both tools is literally a cheatcode

Long time investors in Testmachine. Our thesis is that proprietary models/datas have a moat and Testmachine offers this to the world.

A few months ago @OpenAI and @paradigm released EVMBench to check for vulnerabilities in EVM smart contracts Fast forward and @testmachine_ai's proprietary AI model is #1 on the leaderboard and 8% points above the 2nd best agent If you are a team looking for the literal best smart contract auditors, DM the Testmachine team Rather be safe than hacked by an AI model

Our mission at TestMachine: To scale trust in Web3 for all participants. We do that by providing a robust tool at a practical cost. We’re proud that users on our live open platform can achieve these benchmark results of 75.2% on EVMBench for under $100 per repository.

Real DeFi exploits don't use single bugs. They chain multiple issues together in ways static analysis doesn't model. We tested CertiK AI and TestMachine on two systems. Both found the same bugs. The difference was consolidation. CertiK AI: Multiple isolated findings documented separately TestMachine: Attack paths showing how vulnerabilities combine into working exploits Full analysis: testmachine.ai/blog/certik-c…

Web3 security is becoming one of the most valuable skill sets in crypto. The best way to learn now is simple: study real exploits, read audit reports, and practice breaking things safely in test environments. Be with #TestMachine

🗣️New: TestMachine Telegram For TestMachine users, exploit hunters, and paranoid Web3 builders. Live exploit breakdowns, audit alpha, attack vectors, and AI security talk — high signal only! Join: t.me/ MwJN2TM_mccwYmQx

We tested CertiK AI Auditor and TestMachine’s Azimuth on two different smart contract systems. Both found the same bugs. The difference is interpretation. CertiK explains what's wrong. TestMachine models how someone would exploit it. Bug detection vs exploit modeling. Full comparison: testmachine.ai/blog/certik-c…

Most AI audit tools hide behind marketing claims and private benchmarks. TestMachine is competing publicly on @NethermindSec AgentArena. The era of "trust us, our AI is good" is over. The era of "watch us prove it" is here. We're posting every result. Wins, losses, and everything we learn. If you're building in Web3, you deserve to know which audit tools actually work. Read more here: testmachine.ai/blog/ai-smart…

Completely agree. The industry still relies on one-time assurance for systems that change daily. That’s why we focus on continuous, adversarial testing at TestMachine.

Tired of using AI for audits just because you’re “supposed to”… but not actually trusting the results? Now you can prove your findings. Upload to TestMachine → Auto Validate → get confirmed or refuted instantly. No re-testing. No guesswork. Just answers. app.testmachine.ai

The next evolution of Web3 isn’t louder hype. It’s smarter infrastructure. And that conversation is happening live in New York. At Digital Asset Summit 2026, the focus is shifting from speculation to systems that actually protect and scale the market. Because the reality is simple: More tokens are launching than ever. More capital is flowing on-chain. But risk is evolving just as fast. The question is no longer “what’s the next 100x?” It’s: “How do we scale safely?” That’s where TestMachine AI comes in. We’re building at the intersection of: • Scaling Token Listings without compromising safety • AI-powered Smart Contract Security that reads what humans miss • On-Chain Risk Detection before it becomes a loss event This isn’t theory. It’s the infrastructure layer designed for a market that’s maturing fast. If you’re a builder, protocol, exchange, or security-focused team… And you understand that the future of Web3 depends on trustless security at scale… Let’s connect in NYC. @testmachine_ai Book time: testmachine.ai/#contact The next cycle won’t be won by hype alone. It will be won by those who build and use systems that see risk before it happens. #DAS2026 #digitalassetsummit2026

If you need to add fees to stop AI noise, auditors are using the wrong tooling. Security should be about validated findings, not volume. That’s the approach we’re taking at TestMachine.

Most are optimizing for number of findings, not whether those findings are actually validated and exploitable. That is what we do differently at TestMachine.