Is Giza Safe?
Risk Grade: C+ (41/100)
Giza is rated as elevated risk — multiple novel mechanisms and notable interaction risks.
Elevated risk — novel AI agent execution model introduces unproven autonomous decision-making risks compounded by lack of formal audits.
Giza is an autonomous AI agent protocol that lets users deploy non-custodial AI agents to optimize DeFi yield strategies across multiple chains. Its flagship product ARMA automatically reallocates stablecoin deposits across lending protocols like Aave, Compound, and Morpho. With $21M in TVL and $5.7M in funding, Giza receives a C grade reflecting the novelty risks of AI-driven autonomous execution combined with the absence of formal security audits.
TVL
$23M
Mechanisms
6
Interactions
5
Value Grade
C-
Key Risks for Giza Users
AI agents make autonomous financial decisions that could result in losses during unusual market conditions or when interacting with compromised protocols
No formal security audits have been reported despite the protocol managing user funds through novel session-key authorization mechanisms
The protocol is relatively new (TGE May 2025) with limited track record in diverse market conditions, and its AI strategy performance is unproven through a full market cycle
Top Risk Factors
- •AI agent execution introduces novel autonomous decision-making risks where agents may execute suboptimal or harmful strategies without human oversight
- •No formal security audits reported despite managing user funds through session-key authorization and smart contract interactions
- •Multi-protocol exposure through yield optimization strategies creates cascading risk if any integrated protocol (Aave, Compound, Morpho, Moonwell) experiences an exploit
Risk Score Breakdown
Giza's highest risk area is Mechanism Novelty (9/15). Here's how each dimension contributes to the overall 41/100 score:
Read the Full Giza Risk Report
This protocol has 2 collapse scenarios. 1 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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