Radar

Harnessing the Power of AI for Enhanced Risk Management

Radar helps your teams swiftly identify and handle security threats, offering complete visibility across your entire AI environment.

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AI Risk Assessment

We dive deep into your ML Operations lifecycle, carefully examining the core AI models that drive your business. This thorough review uncovers the risks tied to your AI investments, assessing how they might impact your organization. We then align our findings with leading industry frameworks, including NIST, MITRE ATLAS, and OWASP, offering you actionable insights that help mitigate potential risks and strengthen your organizational security.

Maximize Productivity, Minimize Risk

The fast-paced adoption of AI presents unique challenges for organizations to maintain application security and compliance. Hidden security risks within AI/ML systems often bypass existing AppSec governance and control policies, creating an urgent need to protect against vulnerabilities and enable rapid detection, response, and mitigation of risks.

Radar is the most comprehensive solution for AI risk assessment and management, empowering your organization to efficiently and confidently identify and mitigate risks in your AI/ML systems.

Visibility

From AppSec to ML teams, achieve full visibility into your ML environments, enabling rapid identification of risks and threats in ML systems and AI applications.

Auditability

Empower AppSec teams to implement advanced audit capabilities and risk management across technical, regulatory, operational, and reputational areas.

Security

Adopt a security-first approach to your AI/ML, with integrated security checks and automatic detection of risks in your models as it relates to regulatory compliance, data, and infrastructure.

SOLUTION

Receive a comprehensive analysis of your AI technology, including a threat model, security architecture review, or team awareness training. Here’s how we can assist:

How we can help

  • We help you understand how cybercriminals could exploit AI applications by analyzing your AI models, data, and environment.
  • We assist in testing your AI application's resilience through scenario-based attack simulations conducted by a motivated threat actor with advanced capabilities.
  • We support auditing your AI application's integrity with a thorough analysis using a robustness-focused stress testing methodology.