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Cisco AI Defense

AI Model and Application Validation

Automatically test AI models for security and safety risks. Identify vulnerabilities with algorithmic red teaming across 200+ risk categories and generate model-specific guardrails.

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Trust That Your Models Are Safe and Secure

AI model and application validation performs an automated, algorithmic assessment of a model’s safety and security vulnerabilities, continuously updated through AI Threat Research teams. Understand your application’s susceptibility to emerging threats and protect against them, enforced by AI runtime guardrails.

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Core Validation Capabilities

Discover Model Vulnerabilities

Tests models using algorithmically generated prompts across 200 categories to find susceptibility to prompt injection, data poisoning, jailbreaks, and unintentional outcomes. Extends to models in production for automatic discovery and patching.

Supply Chain Protection

Developers download models from Hugging Face and GitHub, exposing organizations to risks. AI Validation automatically scans open-source models, data, and files to block supply chain threats like malicious model files.

Model-Specific Guardrails

Automatically generates guardrails tailored to each model’s specific vulnerabilities, improving effectiveness. Rules can be further customized to industry, use case, or organizational preferences.

How AI Validation Works

Cisco AI Validation supply chain protection dashboard

Protect Against AI Supply Chain Attacks

Developers download models and data from public repositories, including Hugging Face and GitHub, inadvertently exposing your organization to considerable risks. AI Validation automatically scans open-source models, data, and files to block supply chain threats, such as malicious model files that can allow for arbitrary code execution in your environment. When a new model is entered into your registry, an assessment can be initiated using a simple API call.

Cisco AI Validation model vulnerability discovery dashboard

Discover Model Vulnerabilities

The models selected to power your applications have safety and security implications. AI Validation tests models using algorithmically generated prompts across 200 categories, which finds susceptibility to malicious actions, such as prompt injection and data poisoning, or unintentional outcomes. This benefit extends to models in production, enabling the automatic discovery and patching of new vulnerabilities in existing models.

Cisco AI Validation model-specific guardrails dashboard

Create Model-Specific Guardrails

The use of third-party guardrails protects your AI applications from learning on bad data, responding to malicious requests, and sharing unintended information. AI Validation automatically generates guardrails tailored to the specific vulnerabilities found in each model, thereby improving their effectiveness. These rules can be further modified to fit a company’s industry, use case, or preferences.

Automate AI Security Standards

Identify Validation Status

AI Cloud Visibility automatically discovers which models in your environment need to be validated, allowing you to initiate AI Validation directly from the dashboard.

Automate Model Lifecycle Security

Once an initial model assessment is completed, AI Validation carries out additional processes to help ensure that your models are used securely and safely.

Simplify Compliance Reporting

Automatically generate vulnerability reports that translate test results into an easy-to-read report that is mapped to industry and regulatory standards.

Industry Standards

Achieve AI Security Excellence

AI Defense makes it easy to comply with AI security standards, including the OWASP Top 10 for LLM Applications. Learn more about individual AI risks, including how they map to standards from MITRE, NIST, and OWASP, in our AI security taxonomy.

  • OWASP Top 10 for LLM Applications coverage
  • MITRE ATLAS adversarial threat mapping
  • NIST AI Risk Management Framework alignment
Cisco AI Defense OWASP LLM Top 10 validation standards mapping

Related AI Defense Solutions

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Protect production AI applications with guardrails deployed directly in the network. Block malicious inputs such as prompt injection and denial-of-service attacks, and prevent data leakage in model outputs.

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AI Cloud Visibility

Automatically inventory every AI model, workload, and connected data source across your cloud environments. Understand how each model is being used and whether the right security controls are in place.

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AI Supply Chain Risk Management
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Scan open-source model files, repositories, and AI agents before they enter your environment. Detect tampering, malicious payloads, and license compliance issues in model artifacts.

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Validate Your AI Models

Our Cisco-certified specialists can help you evaluate, license, and deploy AI Model and Application Validation across your organization. Test every model for safety and security vulnerabilities before they reach production.

  • Algorithmic red teaming across 200+ risk categories
  • Automated supply chain scanning for open-source models
  • Model-specific guardrails generated automatically
  • Response from a certified Cisco specialist within one business day
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