AI Security Testing

Automate model scanning, Red Teaming, and risk & trust validation for safer and more reliable AI

Safeguarding AI Models from Emerging Risks

AppSOC’s AI Security Testing solution provides organizations with the tools to proactively identify, assess, and mitigate these risks. By automating static and dynamic model scanning, simulating adversarial attacks, and validating trust in connected systems, AppSOC ensures your AI models, and their broader ecosystems are safe, compliant, and ready for deployment. Testing includes notebooks, datasets, and connected applications to ensure that AI tools don’t inject vulnerabilities into other systems.

“AppSOC allows organizations to pursue AI initiatives confidently, with visibility, guardrails, and the governance needed to mitigate risks.”

- Cyber Defense Magazine - 2024, by Dan K. Anderson, CISO

AI Models Introduce New Risks

Without robust AI security testing, organizations face heightened risks, including undetected vulnerabilities like embedded malware, model bias, and toxic outputs. These gaps can lead to data breaches, regulatory non-compliance, and reputational damage, making it essential to have comprehensive testing measures in place to safeguard AI systems and their connected ecosystems.

MODEL INTEGRITY

Comprehensive Model Testing

AppSOC ensures that AI models are secure, unbiased, and safe for deployment by evaluating them against a variety of threats and risks. The platform proactively identifies vulnerabilities to maintain operational integrity.

Detects embedded malware, vulnerabilities, and weaknesses
Checks models for toxicity, bias, and prompt injection risks
Helps ensure content safety and prevent data leaks

THREAT SIMULATION

Automated Red Teaming

To stay ahead of potential threats, AppSOC simulates adversarial attacks to identify and remediate weaknesses before they can be exploited. This improves the robustness and reliability of AI systems.

Simulates adversarial attacks to identify weaknesses
Detects jailbreak risks and strengthens model reliability
Improves robustness through proactive threat simulation

ECOSYSTEM

Protect Connected Applications

AppSOC goes beyond model testing by protecting the broader AI ecosystem, including connected applications and tools. It identifies vulnerabilities in notebooks, libraries, and API integrations critical to AI operations

Scans notebooks for vulnerable libraries
Monitors API calls to SaaS applications
Correlates AI risks with application vulnerabilities

ASSURANCE

Ensure Safety & Compliance

Governance and compliance are at the core of AppSOC’s AI security framework. The platform ensures adherence to guidelines and regulatory standards while providing complete visibility into AI operations.