Mitigating AI Risks

As artificial intelligence (AI) becomes more deeply integrated into business operations, it introduces a new set of security challenges that traditional cybersecurity measures were never designed to address. AI systems rely on complex data pipelines, advanced machine learning models, and novel interaction methods—creating unique vulnerabilities and expanding the attack surface.

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To tackle these unique threats, AI Security Posture Management (AI-SPM) has emerged as a specialized field focused on safeguarding AI systems across their entire lifecycle. As AI adoption accelerates, AI-SPM is becoming a critical component of enterprise security, helping teams safeguard models, data, and infrastructure from development through deployment. AI-SPM provides a structured and continuous approach to identifying, assessing, and mitigating security risks that are specific to AI environments including:

• Visibility into AI Assets
  AI-SPM enables organizations to discover, track, and manage all AI-related components—including models, datasets, APIs, and "shadow AI" deployments that may operate without proper oversight.

• Data Governance and Protection
  It ensures the privacy and security of the data used to train and operate AI models by identifying sensitive information and preventing data leaks, misuse, or unauthorized access.

• Risk Management Across the Lifecycle
  AI-SPM helps detect and resolve vulnerabilities and misconfigurations from initial development through production. This includes threats such as model poisoning, adversarial inputs, and access control flaws.

• Monitoring AI Runtime
  By continuously observing AI model behavior in real time, AI-SPM helps detect anomalies, potential misuse, and data exposure—enabling rapid response and containment.

• Compliance and Ethical Alignment
  AI-SPM supports adherence to emerging regulations and ethical guidelines, ensuring that AI systems are not only secure but also legally and socially responsible.