An AI-Powered Engine for Trustworthy Smart Contracts
Cerify is built on a neuro-symbolic AI architecture, combining formal verification principles with machine learning adaptability. This unique design allows us us to deliver deep vulnerability detection, precise localization, and actionable remediation pathways - faster than any traditional audit workflow.
Get StartedHow Cerify Works
Cerify transforms smart contract verification into a streamlined, automated process without sacrificing rigor. Our engine integrates three core layers.
Parsing & Intermediate Representation (IR)
- Converts Solidity, Vyper, Kotlin, and other languages into a structured representation for symbolic analysis.
- Enables scalable multi-language support and integration with evolving blockchain ecosystems.
Symbolic Execution & Constraint Solving
- Applies advanced symbolic execution to explore all possible program states and execution paths.
- Uses SMT solvers to verify security properties against defined invariants and constraints.
AI-Powered Fault Analysis
- Prioritizes issues based on exploitability and severity using neuro-symbolic reasoning.
- Learns from historical vulnerabilities to reduce false positives and improve coverage over time.
Our ApproachBeyond Code : Understanding What You're Building
An audit is only as strong as its understanding of the application itself. Many "audited" projects have still been exploited because audits focused solely on code patterns - not how the contract was meant to behave.
Contextual Auditing
We start by understanding your protocol's architecture, intended logic, and interaction with external systems.
Targeted Vulnerability Analysis
Our engine doesn't just scan for known bugs - it analyzes how your unique business logic can be exploited.
Adaptive Verification
We layer symbolic analysis, AI-driven reasoning, and manual review inputs to ensure no single blind spot compromises security.
Key FeatureProduct Key Features
Fault Detection Engine
Detects vulnerabilities across 14+ critical security classes, including:
- Reentrancy attacks
- Integer overflow/underflow
- Unchecked external calls
- Access control weaknesses...and more
Exploit Generation
Generates symbolic test cases and execution traces that reproduce the bug. Provides input patterns for developers to validate and reproduce the exploit in controlled environments.
Spoken Specifications → Code
Future capability to translate natural language specifications into secure smart contract templates. Built using large language models (LLMs) augmented with Certif's security heuristics.
Automated Repair
AI-assisted secure patch generation based on identified issues. Planned integration for automatic remediation workflows, with developer approval checkpoints.
Fault Localization & Causal Reasoning
Maps vulnerabilities to exact lines of code. Traces execution paths and data/control flow dependencies to isolate the root cause of each issue. Outputs a clear, developer-friendly explanation of why the issue occurs.
Supported Languages & Chains
RoadmapRoadmap Snapshot
Checkout the vision for the rest of the quaters
Alpha Release
- 10 vulnerability classes supported
- Fault detection, exploit generation
Beta Release
- 14 vulnerability classes supported
- Beta Access to partners
- Fault detection, localization
Q3 2025
- Full 14-class vulnerability coverage
- Automated patching engine
Q4 2025
- Compliance mapping (MiCA, FIT21, RBI Sandbox)
- Enterprise security dashboard
