Silo v3 is LIVE.
Silo introduces the safest lending markets in DeFi.
We rebuilt the core assumption behind lending: collateral does not need to be sold to keep markets solvent.
That shift puts lender protection first — and makes yield more durable.
Here’s how 👇
Do you know the risk behind the lending market you're depositing into?
Silo v3 introduces built-in risk reporting across every market:
• Risk score
• Collateral
• Oracle
• Bad debt status
Risk is always there. In Silo v3, it's visible before you deposit.
Leverage is still one of DeFi's killer use cases.
Looping is already 30% of all DeFi lending activity. With RWAs coming onchain, that number will grow.
But loops can die fast: a spike in borrow rates, high utilization, or low liquidity.
One part of the solution is infrastructure like @3f_xyz, @0xspiralstake, or @DeFiSaver, that allows one-click and automated leverage exposure.
The other part is the lending layer underneath. That's where we're focused.
Silo v3 gives borrowers isolated markets with predictable, and capped interest rates, protecting them from rate spikes.
And when market conditions shift, rate curves can be adjusted without forcing users to close positions.
Stable rates. Sustainable loops. Localized risk.
Learn more about borrowing on Silo below 👇
Great read! Tranche tokens and current money market liquidations are not compatible.
Silo v3 has a lender protection system that allows for more collateral types.
Our Collateral-Debt Swaps (CDS) handle liquidations without relying on DEXes.
Building in the tranches? DM us.
In fact, Silo’s core contracts have never been exploited.
Operating since 2022 across multiple market cycles, Silo combines risk isolation with a strong security-first approach:
• Multiple audits by leading security firms
• Full formal verification coverage with @Certora
• Active @immunefi bug bounty
• Strong operational security practices
• Immutable core deployments, with only limited configurable parameters
Most DeFi exploits DON'T come from smart contracts.
Attackers having it easier than defenders isn't a DeFi problem, but a security problem.
The only answer is layers.
That's why we designed Silo with:
• Isolated risk per market
• Immutable market deployments
DeFi will win.
Most DeFi exploits DON'T come from smart contracts.
Attackers having it easier than defenders isn't a DeFi problem, but a security problem.
The only answer is layers.
That's why we designed Silo with:
• Isolated risk per market
• Immutable market deployments
DeFi will win.
PSA: I now consider *all* of DeFi unsafe.
Coding agents are superhuman at finding vulnerabilities, and smart contract security is too asymmetric: defenders need to fix every bug while attackers need just one exploit to steal funds.
Ethena ran the same launch strategy on two ecosystems, with different results.
One market capped borrowing costs, the other didn't.
Read USDe looping on Solana vs MegaETH below ↓
Why did USDe loops scale faster on Solana than MegaETH?
The answer is in lending market design.
@ethena partnered with @megaeth to help launch and scale USDm, and also recently expanded to @solana with partners like Paxos to scale USDG.
The strategy was very similar on both chains: subsidize USDm/USDG borrow rates to encourage USDe looping.
That loop created:
• More USDe mint demand for Ethena
• More USDm/USDG borrow demand
• More lending TVL and ecosystem liquidity
Here's what was happening inside the USDe loop:
• Buy USDe, which yields ~4%
• Deposit as collateral
• Borrow USDm/USDG at 2.5–3%
• Sell borrowed stablecoin for more USDe
• Repeat near max LTV
At max leverage (~8–9x), users pushed the strategy toward ~18–20% APY.
But the loop's success depended on one variable: borrow-rate predictability.
▶️ What happened on Solana?
On Solana, Kamino/Jupiter kept USDG borrow costs capped around ~2.5%.
Users knew: even near 100% utilization, borrow costs would likely stay below USDe yield (4%).
So users sized aggressively near max LTV.
▶️ What happened on MegaETH?
On MegaETH, the same trade ran through Aave using USDm.
But Aave's USDm borrow rate isn't capped below USDe yield.
As utilization rises, borrow costs can theoretically push toward ~14%, well above the 4% USDe yield.
▶️ Why capped borrow rates matter?
Even if the strategy is profitable today, users know there's a scenario where the loop can turn negative quickly.
For loopers, the max possible borrow rate matters as much as the current one.
At high leverage, even small rate spikes can delete weeks of accumulated yield.
That uncertainty changes behaviour.
Despite MegaETH launching earlier and offering heavy incentives, Solana's USDe supply expanded faster and bigger.
~570M on Solana vs ~430M on MegaETH.
▶️ Introducing Silo for looping
Silo v3 enables isolated lending markets with predictable, bounded interest rates designed for sustainable looped strategies.
Borrowers are protected from runaway interest rate spikes, while admins retain the ability to adjust rates over time without forcing users to close positions or migrate to new markets.
This creates a more stable borrowing experience and allows markets to continuously rebalance incentives between lenders and borrowers as conditions evolve.
Silo v3 gives borrowers predictable, sustainable leverage without the risk of sudden interest rate spikes, ensuring predictable looped strategies.
Yield attracts leverage. Borrow-rate certainty scales it.
-
Borrow rates are variable. Higher leverage means smaller room for error. Review market parameters before opening a position. NFA.
Silo v3 is built for sustainable looping.
Isolated markets with a hard cap. Predictable rates for borrowers, even at high utilization.
Rates can be adjusted over time without forcing users to close positions.
Explore more: https://t.co/GZzFoPLaXm
Why did USDe loops scale faster on Solana than MegaETH?
The answer is in lending market design.
@ethena partnered with @megaeth to help launch and scale USDm, and also recently expanded to @solana with partners like Paxos to scale USDG.
The strategy was very similar on both chains: subsidize USDm/USDG borrow rates to encourage USDe looping.
That loop created:
• More USDe mint demand for Ethena
• More USDm/USDG borrow demand
• More lending TVL and ecosystem liquidity
Here's what was happening inside the USDe loop:
• Buy USDe, which yields ~4%
• Deposit as collateral
• Borrow USDm/USDG at 2.5–3%
• Sell borrowed stablecoin for more USDe
• Repeat near max LTV
At max leverage (~8–9x), users pushed the strategy toward ~18–20% APY.
But the loop's success depended on one variable: borrow-rate predictability.
▶️ What happened on Solana?
On Solana, Kamino/Jupiter kept USDG borrow costs capped around ~2.5%.
Users knew: even near 100% utilization, borrow costs would likely stay below USDe yield (4%).
So users sized aggressively near max LTV.
▶️ What happened on MegaETH?
On MegaETH, the same trade ran through Aave using USDm.
But Aave's USDm borrow rate isn't capped below USDe yield.
As utilization rises, borrow costs can theoretically push toward ~14%, well above the 4% USDe yield.
▶️ Why capped borrow rates matter?
Even if the strategy is profitable today, users know there's a scenario where the loop can turn negative quickly.
For loopers, the max possible borrow rate matters as much as the current one.
At high leverage, even small rate spikes can delete weeks of accumulated yield.
That uncertainty changes behaviour.
Despite MegaETH launching earlier and offering heavy incentives, Solana's USDe supply expanded faster and bigger.
~570M on Solana vs ~430M on MegaETH.
▶️ Introducing Silo for looping
Silo v3 enables isolated lending markets with predictable, bounded interest rates designed for sustainable looped strategies.
Borrowers are protected from runaway interest rate spikes, while admins retain the ability to adjust rates over time without forcing users to close positions or migrate to new markets.
This creates a more stable borrowing experience and allows markets to continuously rebalance incentives between lenders and borrowers as conditions evolve.
Silo v3 gives borrowers predictable, sustainable leverage without the risk of sudden interest rate spikes, ensuring predictable looped strategies.
Yield attracts leverage. Borrow-rate certainty scales it.
-
Borrow rates are variable. Higher leverage means smaller room for error. Review market parameters before opening a position. NFA.
1/ Dynamic borrowing rates are not good for looping strategies.
When utilization rises, rates can climb up quickly, and the loop can become unprofitable fast.
Silo v3 uses more predictable static curves.
Let’s compare 👇
4/ Silo v3's interest rate model works differently. It enables predictable, bounded interest rates.
Borrowers get protection from runaway interest rate spikes, while admins can adjust rates over time without forcing users to close positions or migrate.
This creates a more stable borrowing experience for looping strategies.
2/ If you want to understand how CDS liquidations work in Silo V3, we covered the mechanism in detail below alongside a full Silo V3 explainer video.
Silo V3 explainer:
https://t.co/oWw6250wU4
CDS liquidation explainer:
https://t.co/sfLYqJOQ3R
1/ For years, the risk in DeFi Lending was mostly framed around smart contract exploits.
Oracle manipulations, flash loans, governance attacks...
Those risks still exist, but the industry has gotten better at managing them (the annual smart contract exploit rate for DeFi lending in 2026 is 0.03%).
But as DeFi matures, a different risk category is getting harder to ignore:
Liquidity risk.
One key question: will liquidity be there when markets get stressed?
A lending market can remain technically solvent while still failing users if:
• liquidity disappears
• utilization spikes to 100%
• collateral has no buyer at the liquidation price
• exits depend on thin secondary markets
This matters more as DeFi expands into looping strategies, RWAs, and low liquidity environments.
The future of lending infrastructure not only be defined by just code security, but by how markets hold up when liquidity runs out.
This is one of the core ideas behind Silo V3's CDS liquidations.
When standard DEX liquidations become insufficient, CDS activates, allowing collateral to be transferred directly to lenders at a discount, reducing dependence on external liquidity during stressed market conditions.
DeFi lending risk is evolving.
Smart contract risk took five years of dedicated infrastructure to reach 0.03%. Liquidity risk is earlier in that curve.
Lending infrastructure needs to catch up.