Securing AI Systems Against Emerging Threats
Organizations struggled with limited visibility into AI-specific security and operational risks. Traditional cybersecurity assessments failed to address threats unique to AI systems, including data leakage, model misuse, and adversarial manipulation. Risk perspectives across AI, IT, and OT environments remained fragmented.
AI Security Challenge
Conventional cyber risk assessments were not designed to evaluate AI technologies. As a result, organizations lacked insight into threats such as prompt injection, model inversion, and unauthorized data exposure. Disconnected assessments across AI, IT, and OT created blind spots that increased operational, regulatory, and security risk.
Integrated Risk Assessment Approach
Our team of engineers conducted a comprehensive AI risk and cyber threat assessment covering AI systems end to end, including data sources, models, prompts, agents, and supporting infrastructure. AI-specific threat scenarios were analyzed alongside traditional cyber threats across confidentiality, integrity, availability, and safety domains.
Risk Assessment Deliverables
- Comprehensive Risk Report: End-to-end analysis of AI and cybersecurity threats
- Unified Threat Model: Integrated risk heat map and consolidated threat landscape
- Remediation Roadmap: Prioritized mitigation plan with clear sequencing and timelines
- Control Gap Analysis: Mapping to regulatory and policy requirements with identified gaps
- Executive Briefing: Board-ready decision support and risk posture summary
This assessment delivered a complete, defensible view of AI security risk and a clear path to mitigating emerging enterprise threats.
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