How Does Makina Work?

DeFi|Risk C|6 mechanisms|5 interactions

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

$49M

Sector

DeFi

Risk Grade

C

Value Grade

C-

Core Mechanisms

2.3.3

Novel

Machines (strategy vaults) and Calibers (cross-chain execution engines) in hub-and-spoke architecture for automated DeFi strategies

Novel execution engine architecture allowing professional operators and AI agents to deploy strategies across EVM chains

6.1.1

Single-sided liquid deposits into Machine vaults with governance-defined exposure limits and risk controls

Standard vault deposit pattern with added risk guardrails

5.1.1

MAK token governance for protocol parameters, operator approval, and risk control settings

Standard token-weighted governance with staking for voting power

2.4.1

Protocol revenue distributed via MAK buybacks and incentive programs supporting Machine growth

Standard revenue-funded buyback model

2.1.2

Performance and management fees charged by operators on vault strategies

Standard fund management fee structure

8.1.3

Novel

Cross-chain execution via Caliber engines allowing strategies to operate across multiple EVM networks

Novel cross-chain execution layer for DeFi strategy deployment

How the Pieces Interact

Automated execution engine (2.3.3)↔Cross-chain execution (8.1.3)High

Automated cross-chain strategies increase attack surface exponentially; a vulnerability in any connected chain or protocol can be exploited by the execution engine

Automated execution engine (2.3.3)↔Vault deposits (6.1.1)High

Operators executing strategies can interact with compromised protocols, leading to vault fund losses as demonstrated by the $4.2M hack

MAK governance (5.1.1)↔Automated execution engine (2.3.3)High

Governance sets risk parameters for Machines; if parameters are too permissive, operators can deploy excessively risky strategies with user funds

Performance fees (2.1.2)↔Automated execution engine (2.3.3)Medium

Fee incentives may drive operators toward higher-risk strategies to maximize performance fees at user expense

Buyback mechanism (2.4.1)↔MAK governance (5.1.1)Medium

Buyback schedule may be predictable and front-runnable; governance changes to buyback parameters could affect token price

What Could Go Wrong

  1. Security incident: Makina suffered a $4.2M hack shortly after launch, demonstrating smart contract vulnerabilities in its execution engine
  2. Novel architecture risk: the Machine/Caliber execution engine for automated cross-chain DeFi strategies is a novel and largely untested pattern
  3. Operator trust dependency: professional operators and AI agents execute strategies on behalf of users, creating counterparty risk if operators act maliciously or incompetently

Repeat Smart Contract Exploit

Elevated

Trigger: A new vulnerability in the Machine/Caliber execution engine is exploited, similar to the previous $4.2M hack

  1. 1.Attacker identifies vulnerability in the execution engine or cross-chain Caliber layer — Vault funds are drained through malicious strategy execution or direct contract exploit
  2. 2.Multiple Machines are affected as the vulnerability is in shared infrastructure — Widespread fund losses across different strategy vaults
  3. 3.TVL collapses as remaining users rush to withdraw — Protocol faces existential crisis with severe trust deficit after second exploit
  4. 4.Team attempts recovery and remediation — Partial fund recovery possible; long-term viability of the protocol is uncertain

Risk Profile at a Glance

Mechanism Novelty6/15
Interaction Severity9/20
Oracle Surface5/10
Documentation Gaps4/10
Track Record12/15
Scale Exposure3/10
Regulatory Risk4/10
Vitality Risk6/10
C

Overall: C (49/100)

Lower score = safer

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