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    AI security & assurance

    Find exploitable vulnerabilities before attackers do.

    Test your web applications, internet-facing infrastructure, AI agents, and APIs. Understand what’s exploitable and automate supported code fixes.

    Explore Deployment Assurance View sample report
    GDA

    Deployment Assurance

    Find what attackers can exploit in your applications, APIs, and infrastructure.

    GCA

    Code Assurance

    Find vulnerabilities in AI-written code and guide fixes on the developer’s machine.

    GBA

    Agent Behavior Assurance

    Find issues in AI agent behavior before production.

    The platform

    Assurance across the AI lifecycle.

    1
    GCA · Code Assurance

    AI Security Harness

    Validate what AI writes.

    Secure AI-generated software while it is being created. GCA identifies security issues in code, dependencies, secrets, configurations, APIs, and supporting components before they enter the software lifecycle.

    Explore Code Assurance
    AI coding agent
    Cursor · Claude Code · Copilot
    GCA Security Harness
    Application securityDependencies and supply chainSecrets and credentialsConfigurationAPIsInfrastructure as codeLocal-first validation
    Verified code → commit / PR / CI
    Explore Code Assurance
    3
    GDA · Deployment Assurance

    Threat Exposure Validation

    Validate where AI runs.

    Continuously validate the environment where AI runs and determine what an attacker can actually exploit across applications, identities, cloud, infrastructure, and runtime.

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    • Exposed services
    • Misconfigurations
    • Authentication weaknesses
    • Authorization weaknesses
    • Identity and privilege paths
    • Application vulnerabilities
    • Cloud and infrastructure exposure
    • Multi-step attack chains
    • Security-control validation
    • Remediation re-testing
    Why three layers

    AI changed more than software development.

    GCA
    Is the code ready?
    GBA
    Can we trust the AI?
    GDA
    Can the environment be compromised?
    AI writes the software.
    GCA secures what gets created.
    AI behaves inside the software.
    GBA validates whether the system behaves as intended.
    AI is changing how systems are attacked.
    GDA validates what attackers can actually reach and exploit.

    Gadriel brings these three assurance problems together without treating them as the same problem.

    Gadriel Deployment Assurance

    Find the attack path before the attacker does.

    Autonomous AI attackers probe, chain, and escalate at machine speed across cloud, identity, and OT/SCADA environments. GDA runs that same playbook first — combining deterministic testing with LLM-driven exploration to close exploitable paths before they're used.

    Order an assessment Discover your attack surface
    AI ATTACKERMythos-classautonomous, tirelessExposed serviceIdentity pathOT / SCADA bridgeVALIDATED BY GDAYOUR INFRASTRUCTURECloud & production estateIdentity & privilege pathsOT & SCADA environmentsAI applications & agents
    Free Playbook

    The AI Assurance Handbook

    A practical field guide for teams shipping AI-assisted systems — how to validate what AI writes, what AI does, and where AI runs before it reaches production. Frameworks, checklists, and real assessment patterns from GCA, GBA, and GDA.

    Get the playbook
    AI Code Assurance Playbook — a white and gold hardcover by Gadriel

    Assure the AI system from creation to deployment.

    Secure what AI writes. Validate what AI does. Validate where AI runs.

    Start with GCA Request a Demo