Secure Every Component Before It Enters Your Agentic AI Stack

Challenge & resolution

Supply Chain Models Hide Security Risks

87% of organizations use third-party AI models without security validation, exposing themselves to supply chain attacks, backdoors, and compliance violations. Traditional security misses AI-specific vulnerabilities.

• Scan

  Detect bias, security flaws, and adversarial vulnerabilities automatically

• Validate

  Verify model provenance, integrity, and authenticity before deployment

• Monitor

  Track model drift, performance changes, and emerging threats in real-time

Key Features

ML Model Security Validation

Here’s how the ML Model Scanner works.

• Pre- Deployment Validation

  • Automated Bias Detection

    Identify demographic and performance biases systematically

  • Adversarial Vulnerability Assessment

    Test model susceptibility to attack techniques

  • Model Integrity Verification

    Validate authenticity and supply chain security

• Supply Chain Security

  • Third-Party Model Scanning

    Assess external models before integration

  • Provenance Tracking

    Complete audit trail of model development history

  • Backdoor Detection

    Identify hidden triggers and malicious behaviors

• Runtime Security Monitoring

  • Model Drift Detection

    Monitor performance degradation and behavioral changes

  • Hallucination Identification

    Detect factual inaccuracies in real-time

  • Performance Anomaly Alerts

    Flag deviations from expected behavior

• Compliance and Documentation

  • Regulatory Alignment

    Built-in compliance checking across jurisdictions

  • Security Certification

    Automated model security documentation

  • Audit Trail Generation

    Complete logging for regulatory examinations

Stop Threats Before They Start

Deploy AI Scanner Security today and secure your AI Agents with intelligent, real-time protection