Next-Gen AI Infrastructure

AI Security for Agentic Economy

Keyless Infrastructure

01

The wallet eliminates the traditional single private key model.

  • Quantum-Resistant Uses post-quantum cryptography to defend against future quantum attacks.
  • Threshold Signature (TSS) The private key is split into multiple shards. A transaction requires a set number of shards to cooperate, removing single points of failure.
  • Social Login Uses social network tokens as an optional extra layer for user authentication.

Self-Custody

02

The user retains full control of their assets without trusting third parties.

  • TEE (Trusted Execution Environment) Critical remote operations happen inside a secure enclave, keeping sensitive data hidden from the host system.
  • Secure Local Execution Sensitive on-device tasks are performed in an isolated, offline environment with no trace left behind.
  • Passkey Integration Uses the device's built-in security module to strengthen local access control.

Sandboxed Control

03

Provides fine-grained governance to prevent malicious activity.

  • Token-Based Agent Control Different agents are assigned limited permissions via tokens, isolating critical keys and restricting each agent's scope of action.
  • Policy Engine Enforces real-time, granular rules to detect and block malicious contracts or suspicious behavior.
  • Disaster Recovery The server backs up encrypted data but never has access to private key shards.

AI Security
for the
New Era

BitslabAIThe First POC-Verified AI Scanner

BitslabAI uses large language models to understand smart contract logic, then combines advanced fuzzing with automated exploit validation to find, prove, and fix real security risks before they are abused.

<5% False positive rate via validation.
POC Reproducible validation for exploitable risk.
LLM Understanding risk at business logic level.
Smart contract code analysis interface

Smart Contract Scan

Logic understanding, attack path generation, and exploit validation in one workflow.

POC
Fuzzing attack paths...

Verified Findings

Only reproducible risks move forward.

ExploitReproduced with test input
FixDeveloper-ready evidence

Core Value

Security findings with proof, not noise.

BitslabAI is built for Web3 builders who need fast triage, reproducible vulnerabilities, and a cleaner path from detection to remediation.

01

AI-driven vulnerability discovery

Understand complex smart contract logic quickly and identify latent security weaknesses across high-risk execution paths.

02

Automated POC validation

Use fuzzing to simulate real exploit paths and confirm whether a vulnerability can be practically reproduced.

03

Less than 5% false positives

Improve signal quality so engineering and security teams can focus on confirmed risks instead of noisy alerts.

Expert Auditing

BitsLab also provides world-class audit services for teams that need manual review, formal verification, and ecosystem-specific security expertise.

Powered By

The Data Engine Behind BitsLab AI

BitsLab AI continuously learns to detect, prevent, and protect across smart contract vulnerabilities, on-chain threats, and malicious Web3 destinations.

0K+Vulnerability Records
0M+On-Chain Threat Labels
0M+Verified Malicious Links

Vulnerability Dataset

18,869Expert-curated JSON records
25,481Cleaned public entries for AI training

Anti-Scam Labels

15M+On-chain threat and whitelist tags
5M+Verified malicious links and accounts

Dataset Input

167,727LLM-generated records from private codebase

Audit Partners

TON
Linea
BNB Chain
Aptos
Sui
Monad
Merlin Chain
Soneium

Backers

Sancus Ventures
HashKey
Sui
Aptos
AW
Gate.io
Robin