Artificial Intelligence (AI) is revolutionizing the way organizations operate, but it also introduces new security challenges. AI systems process vast amounts of sensitive organizational and client data, making them attractive targets for cybercriminals. Without proper controls, AI could unintentionally expose proprietary information, create compliance risks, or be manipulated by malicious actors.
Our AI Security Services start with strong AI data governance and policy development, ensuring your organization’s sensitive data is protected while maintaining trust, compliance, and operational integrity.
AI Security Starts with Policy and Governance
Securing AI begins with policies that control how sensitive data is collected, stored, processed, and used by AI systems. We help organizations establish:
- AI Data Handling Policies to define how client and internal data flows through AI tools, reducing risk of data leakage or misuse.
- Access and Authorization Controls ensuring only approved users and systems can interact with sensitive datasets and models.
- Data Classification and Retention Policies to ensure AI only uses authorized, relevant, and compliant data.
- Regulatory Compliance Alignment to meet requirements like GDPR, HIPAA, CCPA, and emerging AI-specific regulations.
- AI Ethics and Transparency Guidelines that govern the fair and responsible use of AI in client-facing and internal applications.
Strong governance ensures that AI enhances operations without compromising privacy, compliance, or security.
Our AI Security Services
1. AI Threat Assessments
We analyze your AI systems to identify vulnerabilities in:
- Model training and inference pipelines
- Data ingestion and storage systems
- API and endpoint exposure
- Potential for adversarial attacks or model theft
2. Model Hardening & Adversarial Defense
We implement protections to safeguard your AI from malicious manipulation or data poisoning:
- Adversarial testing to simulate real-world attacks
- Input validation to detect anomalous or malicious data
- Model integrity monitoring to detect tampering or unauthorized changes
3. Secure AI Lifecycle Management
We integrate security across every stage of the AI lifecycle:
- Protecting training datasets from unauthorized access or poisoning
- Securing deployed models and inference APIs against misuse
- Monitoring AI decisions to detect bias, errors, or potential manipulation
4. Compliance & Ethical AI Guidance
We provide guidance to align your AI initiatives with regulatory and ethical frameworks, including:
- NIST AI Risk Management Framework
- GDPR and CCPA for AI-driven data processing
- Transparent model decision-making and explainability strategies