HiddenLayer

Step 1: Implement AI Discovery to identify all AI models used for fraud detection.

Step 2: Utilize AI Supply Chain Security to assess the risks associated with third-party models and data sources.

Step 3: Conduct AI Attack Simulation to identify vulnerabilities in the fraud detection models.

Step 4: Implement AI Runtime Security to monitor and block malicious inputs targeting the fraud detection systems.

Step 1: Discover all agentic AI systems within the organization.

Step 2: Analyze the potential risks associated with autonomous AI agents.

Step 3: Simulate attacks to identify vulnerabilities and weaknesses in agentic AI systems.

Step 4: Implement runtime security measures to detect and prevent unauthorized actions by AI agents.

Step 1: Identify all generative AI applications in use.

Step 2: Establish clear policies for acceptable use of generative AI.

Step 3: Implement guardrails to prevent data leakage and misuse of generative AI models.

Step 4: Monitor generative AI applications for adversarial attacks and policy violations.

Step 1: Identify all AI systems used for mission-critical tasks.

Step 2: Assess the risks associated with adversarial attacks on AI systems.

Step 3: Simulate attacks to identify vulnerabilities and weaknesses in AI systems.

Step 4: Implement runtime security measures to detect and prevent unauthorized actions by AI systems.

Step 1: Identify AI-specific security risks.

Step 2: Manage AI risks with confidence.

Step 3: Implement AI governance framework.

Step 4: Align AI adoption with visibility, compliance, and accountability.