New Technology, New Vulnerabilities

AI creates security considerations beyond traditional IT concerns. Business leaders need to understand these risks even without technical backgrounds.

Key AI Security Risks

Data Exposure

AI systems often require access to sensitive data:

Training data may contain confidential information
AI queries can reveal sensitive patterns
Third-party AI services process your data externally

Model Manipulation

AI systems can be fooled or manipulated:

Adversarial inputs designed to cause errors
Poisoning training data to influence behavior
Exploiting AI blind spots

Insider Threats

AI amplifies insider risk:

Easy extraction of AI-generated insights
Model theft capturing organizational knowledge
Misuse of AI capabilities

Supply Chain Vulnerabilities

AI dependencies create exposure:

Third-party AI models with unknown training data
Cloud AI services with their own security postures
Open-source AI components with potential vulnerabilities

Protective Measures

Data Governance

Control what data AI systems can access
Monitor AI data usage
Ensure AI data handling meets regulatory requirements

Vendor Assessment

Evaluate AI vendor security practices
Understand where data is processed and stored
Review vendor security certifications

Monitoring and Detection

Monitor AI system behavior for anomalies
Log AI queries and outputs
Establish incident response for AI-specific threats

Executive Checklist

Have you assessed AI security risks specifically?
Are AI systems included in security governance?
Do vendor contracts address AI security?
Are employees trained on AI security practices?
Is AI security regularly reviewed and updated?

AI First Step includes security considerations in every analysis—ensuring your AI plans account for protection as well as productivity.

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