LISA

AgentLISA - #1 Agentic Security OS for Web3, featuring AI-powered omnichain auditing, PaymentShield, & LISABench, a top Web3 security benchmark for AI models.

[LISA @AgentLISA_ai]

AgentLISA Raises $12M to Build the Agentic Security OS for AI and Blockchain

#AgentLISA has secured $12 million in funding to accelerate our vision of building the Agentic Security OS — a new security foundation at the intersection of AI and blockchain.

Our mission is clear: make smart contract security accessible, affordable, and AI-native, ensuring that every decentralized application can operate safely in an increasingly autonomous world.

This investment will fuel the development of our agentic AI security framework, designed to uncover complex, multi-step vulnerabilities that traditional scanners and manual audits frequently overlook. As blockchain systems evolve toward higher autonomy and composability, we believe agentic security will become the new industry standard.

We’re honored to have the support of leading global investors, including Redpoint Ventures, UoB Venture Management, Signum Capital, NGC Ventures, Hash Global, LongHash Ventures, M23 Capital, Kryptos, Fellows Fund, ByteTrade Lab, Summer Ventures, and Woori Ventures. Their conviction reinforces our belief that the next generation of on-chain security must be AI-powered, continuous, and deeply integrated at the protocol level.

[LISA @AgentLISA_ai]

Check out our full security profile here: https://t.co/6T45QLWZ7u

[LISA @AgentLISA_ai]

We are thrilled to announce that AgentLISA has been selected for the @CertiK Spotlight: Web3 AI-Driven Innovator leaderboard!

This recognition from a global leader like CertiK reinforces our mission: providing professional-grade, multi-agentic security analysis to protect the Web3 ecosystem at scale.

#AgentLISA #Web3Security #AI #CertiK #BlockchainSafety #DeFAI

[LISA @AgentLISA_ai]

Key point: security testing!
Who’s doing the same thing in crypto space?
The answer is @agentlisa_ai

[OpenAI @OpenAI]

We’re acquiring Promptfoo.

Their technology will strengthen agentic security testing and evaluation capabilities in OpenAI Frontier. Promptfoo will remain open source under the current license, and we will continue to service and support current customers.

https://t.co/xhmLmJRoUZ

[LISA @AgentLISA_ai]

🚨 LISABench Update: The Leaderboard Has Shifted!

As promised, we’ve expanded our evaluations to include the latest models, and the competition in AI-driven smart contract security is heating up fast. 🔥

New Leader:
- 🏆 @AnthropicAI’s Claude Opus 4.6 takes the crown with a 77.2% Detection Rate (386/500)!
- 🥈 @GeminiApp Gemini-3-pro-preview holds incredibly strong at #2 (73.4%).
- 🥉 Claude Sonnet 4.6 makes a massive debut right behind it at #3 (71.6%).
We also stress-tested new additions like Qwen-3.5 (53.4%), GLM-5 (48.6%) and Kimi-k2.5 (46.4%).

The jump in performance across different model families proves that the frontier is pushing forward. Every percentage point gained here means a safer foundation for crypto. @cz_binance @heyibinance 🛡️

Dive into the updated, fully open-source data here: https://t.co/HS2qlw4ZxY

The baseline is set. Next up: How do these models perform when given autonomous agent frameworks? Stay tuned.

#LISABench #Web3Security #SmartContract #Claude #Anthropic #Gemini #OpenAI #AgentLISA

[LISA @AgentLISA_ai]

🏆 LISABench 2026: Setting the Standard for AI Web3 Security.
This week's growing industry focus on smart contract benchmarking, including the exciting announcement on EVMBench from OpenAI and Paradigm, is a signal we've been waiting for. AI-driven security evaluation for Web3 is having its moment, and we couldn't be more energized.

LISABench has been here, quietly building. Our latest round evaluated 7 frontier models across 500 real-world vulnerabilities, drawn from @code4rena expert reports and our proprietary datasets, focused on vulnerabilities mitigated before deployment. Production-grade, community-verified, fully open:
🔗 https://t.co/HS2qlw4ZxY

This round's leader: Gemini-3-pro-preview at 73.4% Detection Rate (367/500). 🛡️

To every frontier lab and purpose-built agent team, @OpenAI, @AnthropicAI, and beyond, we invite you to benchmark on LISABench. The more models we evaluate together, the safer crypto becomes as a foundation for the next generation of agentic commerce and agentic finance.

Coming next: Claude 4.5 Opus, Qwen 3.5, and our first autonomous agent evaluations. The field is growing. Let's raise the bar together. ⚔️
#LISABench #Web3Security #SmartContract #AI #AgentLISA #BlockchainSafety #Code4rena

[LISA @AgentLISA_ai]

🏆 LISABench 2026: Predict & Win!

Which AI will dominate Web3 security?

7 frontier models. 500 vulnerabilities. 1 winner.

🤖 KIMI K2 @Kimi_Moonshot
🤖 DeepSeek V3.2 @deepseek_ai
🤖 QWen 3 30b-a3b @Alibaba_Qwen
🤖 GLM 4.6 @Zai_org
🤖 GPT-5.2 @ChatGPTapp @OpenAIDevs
🤖 Gemini-3-pro-preview @GeminiApp
🤖 Claude 4.5 Sonnet @AnthropicAI @claudeai

🎁 Rewards for accurate predictions!

Cast your vote now 👉 https://t.co/lXjtc1qgtU

Results drop in 2 weeks. Will you call it right?

#LISABench #Web3Security #AI

[LISA @AgentLISA_ai]

Agents need security , crypto needs security, everything needs security! You know what I am talking about 🔐🔐

[Claude @claudeai]

Introducing Claude Code Security, now in limited research preview.

It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss.

Learn more: https://t.co/n4SZ9EIklG

[LISA @AgentLISA_ai]

@olegcantor @gdb @OpenAI 请按照币安的解释为准

[LISA @AgentLISA_ai]

@olegcantor @gdb @OpenAI Pls contact Binance! We aren’t privy to the compensation specific details, feel sorry for this

[LISA @AgentLISA_ai]

Awesome! @hosseeb totally agree! That’s why AgentLISA keeps building the agentic security OS for crypto 🔐🔐

[Haseeb ＞|＜ @hosseeb]

https://t.co/vd4ZFTJxmO

[LISA @AgentLISA_ai]

@olegcantor @gdb @OpenAI All the compensation has been distributed by Binance in Jan

[LISA @AgentLISA_ai]

Love seeing @OpenAI enter the chat on smart contract security. 🤝

We've been building this infrastructure at AgentLISA. Our LISA-Bench (23k+ vulnerabilities) is already powering the next generation of security agents.

EVMbench validates the mission. LISA-Bench provides the scale.

Let's secure the autonomous economy together. 🧠⚡
https://t.co/VWugBBha6n

[LISA @AgentLISA_ai]

Love seeing @OpenAI enter the chat on smart contract security. 🤝

We've been building this infrastructure at AgentLISA. Our LISA-Bench (23k+ vulnerabilities) is already powering the next generation of security agents.

EVMbench validates the mission. LISA-Bench provides the scale.

Let's secure the autonomous economy together. 🧠⚡
https://t.co/VWugBBha6n

[Milk Road @MilkRoad]

@gdb R.I.P. smart contract auditing industry, you served us well

https://t.co/uxEncfCQ8D

[LISA @AgentLISA_ai]

Huge step for the industry! @gdb @OpenAI

We fully agree: benchmarking is the key to agentic security. That’s why we open-sourced LISA-Bench two months ago.

While EVMbench brings 120 curated cases, LISA-Bench provides 23,959 verified vulnerabilities across 584 protocols.

To train production-ready security agents, you need production-scale data. 🛡️

Compare the datasets here: https://t.co/VWugBBha6n

[Greg Brockman @gdb]

measuring agentic security capabilities with smart contracts:

[LISA @AgentLISA_ai]

OpenAI @OpenAI & @paradigm just dropped EVMBench today to test AI agents on smart contract security. The AI auditing era is officially here! 🧠⚡
We love the validation. But to train production-ready LLMs, 120 vulnerabilities aren't enough.
That is exactly why AgentLISA open-sourced LISA-Bench two months ago on GitHub—providing the massive data moat the industry actually needs! 🛡️
🔍 LISA-Bench at a Glance:
• 23,959 verified vulnerability cases (perfectly scaling up EVMBench's curated list).
• Covers 584 distinct protocols across DeFi, Layer 2, NFTs, and Infra.
• Battle-tested for 2 months by developers evaluating and training LLMs for complex, deep-logic flaw detection. 
OpenAI just proved the direction; AgentLISA has been building the infrastructure. We are using multi-agent AI to secure smart contracts 99% faster.
👇 Run your EVM models against the industry's largest benchmark on GitHub today:
🔗 https://t.co/VWugBBha6n
#AgentLISA #OpenAI #EVMBench #Web3Security #SmartContracts #AI

[OpenAI @OpenAI]

Introducing EVMbench—a new benchmark that measures how well AI agents can detect, exploit, and patch high-severity smart contract vulnerabilities. https://t.co/op5zufgAGH

[LISA @AgentLISA_ai]

Huge! Welcoming OpenAI to build the agentic crypto alongside @AgentLISA_ai

[OpenAI @OpenAI]

Introducing EVMbench—a new benchmark that measures how well AI agents can detect, exploit, and patch high-severity smart contract vulnerabilities. https://t.co/op5zufgAGH

[LISA @AgentLISA_ai]

We’ve received an update from Binance - Qualified users are now defined as those holding 10 $LISA as of Jan 12, 2026, 02:20 UTC. The compensation amount remains unchanged from the previous announcement. Thanks for your attention.

[LISA @AgentLISA_ai]

A Message to the LISA Community

Dear LISA Community,

We owe you honesty, and we owe you accountability.
The events of January 12, 2026 should not have happened. Our market maker's actions harmed many of you, people who believed in our vision and trusted us.

We take full responsibility for the oversight failures that allowed this to occur.

We are not here to make excuses. We are here to make it right.

1. $700,000 Token Repurchase Program
The USDT assets in the market maker's account have been frozen. We commit to deploying $700,000 for $LISA repurchases over 90 days.

● Trading Pair: Binance Alpha LISA/USDT
● Execution: Multiple small daily purchases to minimize market impact
● Destination: BSC multisig address:
0x547915c854C8FcafD6dB7F80FF1c2Ad1b5d4034A
● Transparency: Fully on-chain and publicly verifiable, with exchange oversight

2. $600,000 Direct User Compensation
The Agent LISA team has allocated $600,000 to directly compensate affected users, distributed with Binance's facilitation.

Who Qualifies:
Users holding $LISA on Binance Alpha as of January 12, 2026, 02:20 UTC
Compensation Formula:
Your $LISA holdings at 02:20 UTC × (Opening price at 02:21 UTC − Closing price at 02:23 UTC)
Distribution:
USDT credited directly to your Binance Spot wallet within 30 days. No action required.

Moving Forward

This incident exposed gaps in our market maker oversight and risk protocols.

We are implementing enhanced due diligence standards, real-time monitoring with automatic circuit breakers, and expanded community governance.

To those who held us accountable, thank you. To those who were hurt, we hear you. These programs are not gestures; they are obligations we will fulfill completely and transparently.

We will earn back your trust the only way it can be earned: through action, over time.

The AgentLISA Team

[LISA @AgentLISA_ai]

We’ve received an update from Binance - Qualified users are now defined as those holding 10 $LISA as of Jan 12, 2026, 02:20 UTC. The compensation amount remains unchanged from the previous announcement. Thanks for your attention.

[LISA @AgentLISA_ai]

A Message to the LISA Community

Dear LISA Community,

We owe you honesty, and we owe you accountability.
The events of January 12, 2026 should not have happened. Our market maker's actions harmed many of you, people who believed in our vision and trusted us.

We take full responsibility for the oversight failures that allowed this to occur.

We are not here to make excuses. We are here to make it right.

1. $700,000 Token Repurchase Program
The USDT assets in the market maker's account have been frozen. We commit to deploying $700,000 for $LISA repurchases over 90 days.

● Trading Pair: Binance Alpha LISA/USDT
● Execution: Multiple small daily purchases to minimize market impact
● Destination: BSC multisig address:
0x547915c854C8FcafD6dB7F80FF1c2Ad1b5d4034A
● Transparency: Fully on-chain and publicly verifiable, with exchange oversight

2. $600,000 Direct User Compensation
The Agent LISA team has allocated $600,000 to directly compensate affected users, distributed with Binance's facilitation.

Who Qualifies:
Users holding $LISA on Binance Alpha as of January 12, 2026, 02:20 UTC
Compensation Formula:
Your $LISA holdings at 02:20 UTC × (Opening price at 02:21 UTC − Closing price at 02:23 UTC)
Distribution:
USDT credited directly to your Binance Spot wallet within 30 days. No action required.

Moving Forward

This incident exposed gaps in our market maker oversight and risk protocols.

We are implementing enhanced due diligence standards, real-time monitoring with automatic circuit breakers, and expanded community governance.

To those who held us accountable, thank you. To those who were hurt, we hear you. These programs are not gestures; they are obligations we will fulfill completely and transparently.

We will earn back your trust the only way it can be earned: through action, over time.

The AgentLISA Team

[LISA @AgentLISA_ai]

This is not a traditional security vulnerability in Moltbook itself. The issue lies in an agent posting/operating on Moltbook that was insecurely designed: it did not defend against prompt injection, did not classify or isolate user privacy-sensitive data, and lacked proper access control, effectively trusting inputs and context from arbitrary sources.

This is a common failure mode in LLM-based agents and a reminder that agents are not sandboxes, without prompt isolation, privacy classification, and least-privilege access control, sensitive data exposure becomes inevitable.

A modern agent system should be designed like an operating system: with explicit mechanisms for information classification and permission checks, rather than relying on the LLM itself to “behave correctly.” Treating the model as the security boundary is a design flaw, access control and data isolation must be enforced outside the LLM.

[Nagli @galnagli]

Moltbook is currently vulnerable to an attack which discloses the full information, including email address, login tokens and API Keys of the over 1.5 million registered users. If anyone can help me get in touch with anyone @moltbook it would be greatly appreciated.