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AI-native application security with an AI Security Engineer approach
LLM-based detection of complex vulnerabilities across any codebase
Security checks in CI/CD on every code push
Dependency scanning for one-click supply-chain risk assessment
Alerts import and false-positive filtering from tools like Snyk and Socket
Codebase indexing and navigation for fast repository understanding
Internet access for real-time threat intelligence
Access to custom documentation for tailored analysis
Collaboration with Aptos Labs for specialized Move code agents
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Enforce automated security checks in CI/CD on every code push to prevent vulnerable releases.
Detect complex, context-aware vulnerabilities with LLM-based scanning across large monorepos.
Audit Move-based smart contracts in collaboration with Aptos Labs to catch logic and permission flaws.
Consolidate and de-noise findings by importing alerts from Snyk and Socket to reduce false positives.
Continuously assess supply-chain exposure with one-click dependency scanning across services.
Quickly navigate and understand unfamiliar repositories with codebase indexing and smart search.
Leverage real-time internet intelligence to correlate emerging threats with code and dependency risk.
Adopt an AI Security Engineer to cover application security gaps without a large in-house AppSec team.
Standardize security checks across multiple teams and toolchains through CI/CD integration.
Gate releases with automated security policies informed by LLM-based detection and supply-chain scans.