As AI begins to run the financial show, security is racing to catch up. BitsLab, a veteran in blockchain auditing, is now staking its claim as a pioneer in AI-driven security for autonomous economic agents. With the rise of on-chain AI agents executing swaps, approvals, and portfolio management, traditional security models are increasingly ill-equipped. Enter BitsLab’s unified security architecture, designed to keep machine-driven transactions safe.

From Audit Firm to AI Security Powerhouse

BitsLab cut its teeth auditing major ecosystems including Sui, Aptos, Solana, TON, BNB Chain, and Starknet through its MoveBit, ScaleBit, and TonBit brands. With a track record spanning global CTF competitions and hundreds of thousands of vulnerability discoveries, the company is now moving beyond audits into a full-fledged AI security infrastructure provider.

Today, BitsLab safeguards more than 716 million users and over US$160 billion in on-chain value. Its security products rely on a multi-year data engine built from 200,000+ vulnerability insights, millions of malicious endpoint records, and extensive threat intelligence.

Protecting Users: BitsLab Safe

For everyday Web3 users, BitsLab Safe offers real-time scam detection, safe browsing, and signature protection. As AI agents increasingly interact with complex smart contracts and multi-agent systems, Safe acts as a personal security layer, catching threats before they can trigger financial loss.

Empowering Enterprises: BitsLab AI Scanner

For developers and enterprises, the BitsLab AI Scanner automates vulnerability detection across smart contracts. Using dataset-trained AI models, it significantly accelerates audits while improving coverage—critical in a world where AI agents can make financial decisions in milliseconds.

The New Risk Frontier: Agentic Security

Autonomous AI agents create a new class of security challenges. Unlike smart contract audits, which analyze deterministic code, or AI alignment, which focuses on ethical behavior, “agentic security” protects the decision-making of autonomous systems. Threats include prompt manipulation, behavioral drift, poisoned data, compromised training sets, and timing errors in partially final blockchain environments. Simply put, securing AI agents is far more complex than traditional Web3 security.

Inside BitsLab’s Agentic Security Stack

BitsLab’s framework has two core components:

• AI-Agent Vulnerability Scanner: A pre-deployment tool analyzing prompts, reasoning logic, and decision flows. It tests whether agents remain stable under adversarial conditions, blending symbolic vulnerabilities with behavioral patterns.
• BitsLab Agentic Security Protocol (BASP): A runtime “trust gate” that evaluates whether agents should be allowed to execute on-chain actions. Using identity validation, sandboxed simulations, and dynamic whitelisting, BASP integrates with wallets, DEXs, and machine-payment systems to enforce real-time compliance.

Real-World Applications

BitsLab is already embedding security into multi-agent payment systems, including Coinbase’s x402 protocol and Questflow’s MAOP framework. Their collaboration ensures AI-driven transactions are reliable, compliant, and secure—vital as Questflow prepares its developer platform for wider deployment of autonomous agents.

Filling a Market Gap

The agentic economy raises a core question: when should a non-human system be trusted to execute irreversible transactions? BitsLab argues this requires coordination between payment primitives like x402, multi-agent frameworks like MAOP, and robust AI security infrastructure. Without such safeguards, unregulated AI decisions could introduce systemic risks in the Web3 ecosystem.

BitsLab’s Strategic Edge

By combining enterprise-grade AI audit tools with consumer protection, BitsLab aims to set the standard for agentic security. Its Safe product shields users, the AI Scanner empowers developers, and BASP defines the operational rules for safe autonomous execution. Together, these tools position BitsLab at the heart of the emerging on-chain agent economy, where humans and AI agents transact side by side.