Is Makina Safe?
Risk Grade: C (48/100)
Makina is rated as elevated risk — multiple novel mechanisms and notable interaction risks.
Elevated risk — an innovative DeFi execution engine with a novel architecture, but a recent security exploit and short track record significantly elevate the risk profile.
Makina is a DeFi execution engine that allows professional operators and AI agents to run automated yield strategies across multiple EVM chains on behalf of depositors. Using its novel Machine/Caliber architecture, it provides institutional-grade strategy execution with governance-defined risk controls. However, the protocol suffered a $4.2M hack shortly after launch, and its novel architecture remains largely untested. The MAK token captures value through buybacks and governance staking.
TVL
$33M
Mechanisms
6
Interactions
5
Value Grade
C-
Key Risks for Makina Users
Makina was hacked for $4.2M shortly after launch — this demonstrates real smart contract vulnerabilities in its execution engine
Professional operators control how your deposits are invested — if an operator makes a bad call or acts maliciously, your funds are at risk
The Machine/Caliber architecture is entirely new with no proven track record in DeFi — novel systems carry higher risk of undiscovered bugs
Top Risk Factors
- •Security incident: Makina suffered a $4.2M hack shortly after launch, demonstrating smart contract vulnerabilities in its execution engine
- •Novel architecture risk: the Machine/Caliber execution engine for automated cross-chain DeFi strategies is a novel and largely untested pattern
- •Operator trust dependency: professional operators and AI agents execute strategies on behalf of users, creating counterparty risk if operators act maliciously or incompetently
Risk Score Breakdown
Makina's highest risk area is Track Record (12/15). Here's how each dimension contributes to the overall 48/100 score:
Read the Full Makina Risk Report
This protocol has 2 collapse scenarios. 3 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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