AI Security Consulting
Reviewing security risks and response priorities for adopting and operating AI.
Security standards and operations for your AI environment
Review information security risks in AI adoption and use, and define security policies and management priorities suited to your organization.
We identify current and planned AI use and the data involved, then review usage rules, access controls and data handling conditions. We define the necessary safeguards and operating procedures for responsible teams.
Core services
We support policy development, infrastructure security checks and data protection reviews.
Generative AI security guidelines and internal policies
Establish AI usage policies that improve productivity while preventing data leakage
- Define permitted uses of commercial AI services and update security commitments
- Specify input precautions and prohibited data for development, planning and customer support
- Establish governance and operating procedures for responsible AI use
AI service security requirements review
Review system controls and infrastructure security when adopting AI models and connected services
- Check network and access controls between internal systems and external AI services
- Review API authentication and encryption of data in transit
- Advise on anomaly monitoring and logging arrangements
Training and usage data security and privacy review
Review data handling standards and transmission security against applicable legal requirements
- Check AI datasets for personal and critical business information before use
- Establish filtering criteria to prevent sensitive data leakage to external services
- Review data lifecycle management and procedures to prevent use beyond the intended purpose
AI security risk assessment and policy management
Systematically identify and continuously manage security risks from AI adoption
- Survey internal AI use and assess security risks
- Advise on policies reflecting Korean and international security guidelines
- Provide recurring security training and employee compliance guidance
Our approach
Review current AI use, establish security standards and define operating procedures.
01
Identify AI usage and requirements
Identify AI services in use or planned for adoption, their integration environments and information security requirements.
02
Establish controls and policies
Review access controls across system integrations and data protection criteria, then develop security guidelines tailored to the organization.
03
Operational governance and monitoring
Organize internal policies and establish checklists and ongoing management procedures for secure AI service operations.
Frequently asked questions
Can you review AI before adoption and during operation?
We review security requirements for planned adoption and operational risks in existing AI use. Tasks are identified from the intended use, information handled and system integrations.
Can you review employees’ use of external AI services?
We review information entered into or shared with external AI services and the rules governing that use. We develop data handling criteria and protective measures suited to the work.
How does AI security consulting differ from AI service vulnerability testing?
AI security consulting reviews usage rules, data protection and operational arrangements. Vulnerability testing technically validates risks in the service itself; where needed, the combined scope is defined for the engagement objectives.
The scope of work and deliverables are determined by the target environment and the agreed engagement.
Build trustworthy enterprise AI security
Review generative AI adoption risks in advance and develop tailored guidance for secure use.