Almanax

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Last updated: February 25, 2026

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What is Almanax?

Almanax.ai is an AI-native application security platform that operates as your AI Security Engineer, using large language models to understand code, business logic, and infrastructure like a human expert. It delivers LLM-based detection of complex vulnerabilities across any codebase, runs automated security checks in your CI/CD pipeline on every push, performs one-click dependency and supply‑chain risk scanning, and reduces noise by importing and filtering alerts from tools like Snyk and Socket. With codebase indexing/navigation, live internet threat intelligence, and access to your custom documentation, Almanax streamlines secure development for Web2 and Web3 teams, including a collaboration with Aptos Labs to build specialized agents for Move codebases.

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Almanax's Top Features

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

Frequently asked questions about Almanax

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    Use Cases

    Dev teams

    Enforce automated security checks in CI/CD on every code push to prevent vulnerable releases.

    Security engineers

    Detect complex, context-aware vulnerabilities with LLM-based scanning across large monorepos.

    Web3 protocol teams

    Audit Move-based smart contracts in collaboration with Aptos Labs to catch logic and permission flaws.

    AppSec leads

    Consolidate and de-noise findings by importing alerts from Snyk and Socket to reduce false positives.

    Platform engineers

    Continuously assess supply-chain exposure with one-click dependency scanning across services.

    Developers

    Quickly navigate and understand unfamiliar repositories with codebase indexing and smart search.

    Threat hunters

    Leverage real-time internet intelligence to correlate emerging threats with code and dependency risk.

    Startups

    Adopt an AI Security Engineer to cover application security gaps without a large in-house AppSec team.

    Enterprises

    Standardize security checks across multiple teams and toolchains through CI/CD integration.

    Release managers

    Gate releases with automated security policies informed by LLM-based detection and supply-chain scans.