smart-contract-security
Smart contract security use cases and applications for AI.
Sentinel is purpose-built to operate across the full lifecycle of smart contracts — not just during static analysis, but while they're live and evolving. Below are key real-world applications where Sentinel delivers meaningful security value.
🔄 1. Continuous Post-Deployment Auditing
Traditional audits end at deployment. Sentinel begins there.
It continuously monitors live contracts to detect:
- Logic flaws missed during review
- Unexpected edge-case behaviors
- Exploitable patterns from new integrations or usage
This is essential for dynamic systems like DeFi protocols, DAO governance contracts, and upgradable proxy architectures, where post-launch complexity introduces fresh attack surfaces.
🧠 2. Real-Time Behavioral Anomaly Detection
Using inference-powered analysis from Metis, Sentinel builds behavioral baselines for contract execution and detects deviations like:
- Unusual gas usage
- Recursive function abuse
- Reentrancy patterns
- Front-running vectors
This allows for zero-day detection — catching novel attacks before they escalate, even if they don’t match known signatures.
🛡 3. Autonomous Threat Mitigation
When an anomaly is detected, Sentinel can:
- Pause the contract
- Trigger circuit breakers
- Notify governance for escalation
- Emit on-chain alerts to trusted contracts
This enables smart contracts to defend themselves, reducing time-to-response from hours to seconds — without waiting for human intervention.
📡 4. Immutable Threat Intelligence Layer
Every alert, detection, and exploit signature is stored in an on-chain registry, creating a decentralized threat graph accessible to:
- Other smart contracts (e.g., to block malicious interactions)
- Protocol frontends (e.g., to warn users)
- Governance systems (e.g., to audit security posture)
This transforms Sentinel from a tool into an infrastructure layer for shared, trustless security.
⚙️ 5. Seamless Developer Integration
Security doesn't work unless it's usable.
Sentinel offers:
- Webhooks and REST endpoints for monitoring dashboards
- JSON-formatted logs for CI/CD automation
- Custom event triggers for security analytics
This makes it easy to embed Sentinel directly into developer workflows and operational pipelines.
🧠 6. Evolving Threat Detection via Collective Intelligence
Sentinel improves over time.
It continuously ingests:
- Public and private audit reports
- Live exploit patterns
- Transaction-level metadata
This lets Sentinel generalize from past attacks, improving its accuracy and relevance with each detection. The more it's used, the stronger it gets — across projects, chains, and ecosystems.
🧱 7. Embedded Infrastructure for L2s & Modular Chains
Sentinel’s protocol-native design means it can be integrated directly into:
- Rollup environments (like Metis)
- AppChains or Sovereign L2s
- Security-focused VM runtimes
This allows entire ecosystems to provide built-in contract observability and shared inference infrastructure, without relying on centralized off-chain services.
🧩 Where Sentinel Adds the Most Value
| Environment | Sentinel Contribution |
|---|---|
| DeFi Protocols | Prevents drain attacks, price oracle manipulation, logic exploits |
| DAOs & Governance | Detects proposal hijacks, treasury mismanagement, quorum exploits |
| NFT Marketplaces | Stops signature spoofing, counterfeit minting, metadata abuse |
| Upgradable Systems | Monitors logic changes post-upgrade and governance shifts |
| L2 / Rollup Chains | Enables protocol-wide telemetry, threat sharing, and alerting |
✨ Summary
Most security tools look backward — Sentinel looks forward.
It brings always-on protection, real-time inference, and protocol-level visibility to smart contracts that demand more than a PDF report. Whether deployed on Metis or other modular ecosystems, Sentinel is built to evolve with the threats it defends against.