Showing 3 open source projects for "surface"

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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 1
    DevSec Hardening

    DevSec Hardening

    This Ansible collection provides battle tested hardening

    Hardening adds a layer into your automation framework, that configures your operating systems and services. It takes care of difficult settings, compliance guidelines, cryptography recommendations, and secure defaults. Running secure infrastructure is a difficult task. Although server hardening is a well-known topic with many guides out in the wild, it is still very cumbersome to apply and verify secure configuration. If you manage many server, they need to be configured properly and...
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  • 2
    Fuzzer Test Suite

    Fuzzer Test Suite

    Set of tests for fuzzing engines

    ...Rather than synthetic micro-benchmarks, it packages build scripts, corpora, and known-crash oracles so fuzzer authors can measure time-to-crash, coverage growth, and stability. Each target is configured to integrate with common sanitizers, ensuring memory safety bugs surface with precise diagnostics. The suite standardizes experiment parameters—runtime, seeds, and environment—so results are reproducible and comparable across machines and research groups. It’s useful both for tuning mutation strategies and for validating new coverage mechanisms before publishing results. By curating diverse targets (parsers, media codecs, serialization libraries), it helps fuzzers demonstrate robustness beyond a single niche.
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  • 3
    Node.js chaos monkey

    Node.js chaos monkey

    Extremly naughty chaos monkey for Node.js

    ...Findings feed back into reliability work: hardening timeouts, rethinking concurrency limits, and improving fallbacks at code and infrastructure levels. By turning failure into a planned exercise, teams can surface weak spots before customers do.
    Downloads: 0 This Week
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