Security Features

Learn about the security features of our platform, including encryption, access controls, and compliance.

Sentinel delivers a comprehensive security architecture designed not only to detect and prevent vulnerabilities in smart contracts, but also to maintain the integrity and trustworthiness of the Sentinel platform itself. Below are the core security features that define Sentinel’s defense capabilities.

AI-Enhanced Threat Detection

Sentinel uses AI models trained on a deep set of known smart contract exploits, audit reports, and CVEs. These models:

  • Identify patterns of known attacks such as reentrancy, unchecked external calls, and storage collisions.
  • Analyze contract behavior in real-time post-deployment using on-chain telemetry.
  • Use transformer-based anomaly detection to predict unknown vulnerabilities, even those not documented publicly.

The models are hosted and executed on ALITH, Metis’s decentralized AI execution layer, ensuring inference is both secure and verifiable.

Immutable Threat Intelligence Layer

Sentinel maintains an append-only, decentralized database of vulnerabilities and behavioral signatures. This includes:

  • Historical audit findings
  • Community-reported exploits
  • Model-inferred threat patterns with confidence scores

The data is tamper-proof and publicly auditable, ensuring transparency while providing the inference engine with a rich, evolving dataset.

Protocol-Level Continuous Monitoring

Every contract deployed to Metis is monitored automatically by Sentinel’s on-chain Watcher system. This enables:

  • Continuous security validation from the moment of deployment
  • No need for manual resubmission or human-triggered audits
  • Live updates as contract states and interactions evolve

This ensures that even post-deployment logic or proxy upgrades are evaluated for potential risks.

On-Chain Auditability and Data Integrity

Sentinel logs security alerts, inferred threats, and audit metadata directly to-chain, ensuring:

  • Verifiable event history for every monitored contract
  • Immutable logs for use in dispute resolution or compliance cases
  • DAO or governance-triggered alert escalation where needed

This creates a tamper-proof record of vulnerabilities and responses, useful for both technical audits and legal clarity.

Secure and Decentralized AI Infrastructure

Sentinel’s AI models are not black-box off-chain tools. Instead, they run within the decentralized AI layer (ALITH) on Metis, enabling:

  • Trust-minimized inference
  • Verifiable AI execution with traceable input/output history
  • Modular upgrades of models via governance or developer contribution

This avoids centralized points of failure in the security pipeline.

Developer-Centric Security Loop

Sentinel is designed with secure developer workflows in mind:

  • All vulnerability reports are delivered securely via webhooks or encrypted dashboards.
  • Developers can opt in to auto-patching suggestions or open disclosure workflows.
  • Public alerts for dangerous contracts can be triggered via protocol governance if a developer is unresponsive.

This balances transparency with responsibility and gives developers control over how issues are resolved and disclosed.

In short, Sentinel combines AI-driven intelligence, decentralized infrastructure, and protocol-level integrations to provide a security model that is not only reactive but predictive, not just manual but autonomous — built for the next generation of Web3 applications.