San Francisco, United States, December 11th, 2025, FinanceWire
BitsLab, an AI security company focused on protecting digital assets, is introducing a unified security architecture aimed at the emerging on-chain agent economy. As autonomous AI agents increasingly handle financial operations, BitsLab seeks to tackle a significant industry challenge: ensuring the safety of these autonomous economic agents.
The foundation of BitsLab is rooted in extensive security work across various ecosystems, including Sui, Aptos, TON, Solana, Linea, BNB Chain, Soneium, and Starknet. Through its auditing brands—MoveBit, ScaleBit, and TonBit—the company has identified critical vulnerabilities in diverse protocols, virtual machines, and cross-chain infrastructures. This expertise, bolstered by a strong track record in global Capture the Flag competitions, has facilitated BitsLab’s transition from a traditional audit firm to a provider of AI-driven security infrastructure tailored for both organizations and everyday Web3 users.
Currently, BitsLab secures over 716 million users and protects more than US$160 billion in on-chain value. The company’s products leverage a multi-year data engine, which has compiled more than 200,000 vulnerability insights, extensive threat intelligence, and millions of malicious endpoint records. These elements form the backbone of its consumer product, BitsLab Safe, and enterprise-focused solution, BitsLab AI Scanner.
BitsLab Safe delivers real-time scam detection, safe browsing, and signature protection, enabling end users to navigate Web3 confidently. As interactions increasingly involve AI agents and complex links, BitsLab Safe serves as a protective layer that intercepts threats before they can cause financial harm.
On the other hand, the BitsLab AI Scanner, designed for enterprise clients, accelerates smart contract audits with dataset-trained models that automatically identify vulnerabilities. This significantly enhances the speed and coverage of audits for developers, enterprises, and protocols.
AI agents, while enhancing efficiency, introduce a new class of security risks that traditional models cannot adequately address. BitsLab characterizes this emerging need as Agentic Security, which focuses on protecting the decision-making processes of autonomous systems. Unlike conventional smart contract security, which audits deterministic code, Agentic Security considers threats like prompt interference, behavioral drift, and timing failures on chains with partial finality. These complexities make the security of autonomous AI fundamentally different from that of traditional Web3 infrastructure.
Central to BitsLab’s approach is its Agentic Security Stack, which consists of two main components: the AI-Agent Vulnerability Scanner and the BitsLab Agentic Security Protocol (BASP). The AI-Agent Vulnerability Scanner is a pre-deployment tool that evaluates prompts, reasoning logic, and decision flows to determine if an agent remains stable under adversarial input. In contrast, BASP functions as a runtime “trust gate,” assessing whether an agent should be permitted to execute on-chain actions through identity validation, sandboxed simulations, and dynamic whitelisting models.
BitsLab’s solutions are designed to integrate seamlessly with wallets, decentralized exchanges (DEXs), and machine-payment systems, establishing a security checkpoint for autonomous economic agents.
A notable real-world application of BitsLab’s technology is its collaboration with Questflow, focusing on securing multi-agent payment systems built on Coinbase’s x402 protocol for machine-native payments and Questflow’s MAOP framework for coordinating distributed agents. Their partnership aims to enhance the safety and reliability of agent-to-agent payments. Questflow’s recent US$6.5 million seed round underscores the growing confidence in multi-agent systems, and its upcoming Developer Platform will enable developers to package APIs directly as agents, increasing the environments where BitsLab’s security stack is critical.
As these systems evolve, the need for a security layer capable of determining when an agent can authorize fund transfers becomes paramount. BitsLab’s Safe Agent models and security APIs provide essential safeguards, including risk scoring, anomaly detection, and policy enforcement, ensuring compliant, predictable, and secure payments initiated by AI agents.
The industry currently lacks a clear framework to address a fundamental question in agentic finance: when should a non-human system be allowed to execute an irreversible transaction? BitsLab asserts that an answer will require the co-evolution of three interdependent layers: payment primitives like x402, multi-agent coordination frameworks such as MAOP, and security infrastructure governing autonomous execution.
As autonomous systems become more capable and widespread, BitsLab warns that unregulated machine decision-making could pose significant systemic risks. A verifiable, data-driven security layer protecting both enterprises and individual users will be crucial for the safe expansion of the agentic economy.
By merging enterprise-grade AI audit tools with consumer-oriented anti-scam protection, BitsLab aspires to establish itself as the default security standard for organizations developing AI agents and individuals interacting with them. BitsLab Safe aims to safeguard everyday users as AI-driven interactions proliferate, while the BitsLab AI Scanner equips developers and enterprises with a robust security foundation. Together, these components position BitsLab at the forefront of the emerging on-chain agent ecosystem, where humans and autonomous agents will increasingly coexist and transact.
About BitsLab
BitsLab is an AI-driven security firm specializing in digital asset protection. It provides an integrated suite of audit services, AI security engines, and security tools for developing Web3 ecosystems, enabling safer on-chain interactions.
By combining BitsLab AI Scanner and BitsLab Safe, the company offers a comprehensive AI-powered protection system. BitsLab Safe delivers enterprise-grade defense through real-time transaction simulations, scam detection, and security for x402 payments and AI Agent operations via its agentic security stack. Meanwhile, BitsLab AI Scanner utilizes a vulnerability and threat intelligence engine to enhance auditing efficiency and reduce false positives.
BitsLab operates three sub-brands—MoveBit, ScaleBit, and TonBit—focused on emerging Web3 ecosystems. The team provides professional audits and vulnerability research to secure core infrastructure amid rapid technological advancements. Their researchers have achieved multiple international CTF awards and discovered critical vulnerabilities, contributing to significant security improvements across the industry.
Contact
Marketing Manager
Jason Lee
BitsLab
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