Lirix warns of AI agent prompt injections

// 1h agoNEWS

Lirix warns of AI agent prompt injections

Web3 security project Lirix shared its weekly update highlighting the intersection of AI prompt injection vulnerabilities and on-chain execution risks. The update references Gravitee's "State of AI Agent Security 2026" report, which notes that 88% of organizations have experienced AI agent security or privacy incidents, highlighting the critical need for deterministic, zero-trust gateways to secure autonomous AI agents in decentralized finance.

// ANALYSIS

AI agents with direct wallet access are an active security hazard because probabilistic models cannot guarantee deterministic safety on irreversible blockchains.

* Prompt injections can hijack agent tool calls, resulting in unauthorized and irreversible smart contract executions.

* Relying on LLM-layer prompt engineering for security is a failed paradigm; enforcement must happen at the action and network validation layers.

* The rise in AI agent incidents demonstrates that security guardrails are lagging far behind developer adoption.

// TAGS

securityweb3blockchainartificial-intelligencezero-trust

DISCOVERED

1h ago

2026-06-13

PUBLISHED

1h ago

2026-06-13

RELEVANCE

8/ 10

AUTHOR

lokii_AuditAI

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

UPDATE13m ago

Grok Build worktrees spark developer praise

A developer on X praises the fast-paced development of Grok Build, an AI coding tool from xAI, noting that the team has shipped numerous updates recently. They specifically recommend that developers explore the new worktrees feature over the weekend to experience the product's latest capabilities.

OPEN SOURCE26m ago

Mosh is an open-source, model-driven application security testing harness that wraps around LLMs to automate penetration testing through discovery, planning, dockerized execution, and reporting.

Mosh (Model-driven Open Security Harness) is an open-source security testing application designed to automate the work of a security researcher. Instead of relying on raw prompts, the tool implements a multi-step workflow starting with application discovery (mapping routes and technologies), security planning (creating test hypotheses), and controlled test execution through Docker containers using engagement settings. It continuously writes structured reports and memory logs, allowing developers to safely run, review, and reproduce pen-testing results iteratively as vulnerabilities are resolved.

OPEN SOURCE30m ago

Zhipu AI to open-source GLM-5.2 under MIT

Zhipu AI has announced plans to open-source its flagship GLM-5.2 coding model under the permissive MIT license next week. The model features a 1-million-token context window and is currently deployed on Zhipu's GLM Coding Plan.

Lirix warns of AI agent prompt injections