Core Business

AI Cybersecurity Services

AI Security Strategy, Assessment, and Governance

Focused on LLMs, AI assistants, knowledge bases, autonomous agents, and multimodal apps, GCSA AI Cybersecurity Services cover model security, data protection, application guardrails, risk monitoring, and governance compliance for the AI era.

4

Assessment dimensions

LLM

Agent · Skill

Full

Model to governance

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Organizational pain

Challenges teams face

  • AI attack surface beyond infra

    Models, prompts, data, tools, APIs, and governance all need assessment.

  • Injection and data leakage

    RAG, plugins, and agent chains expand indirect injection and exfiltration risk.

  • Compliance-engineering gap

    Legal, compliance, data, and engineering teams lack a unified AI security framework.

GCSA approach

How the Alliance Delivers Value

  • AI model security assessment

    Identify prompt injection, jailbreak, adversarial manipulation, and misuse with prioritized remediation.

  • Data security and privacy

    Classify flows across training, inference, RAG, and logging; design masking and retention controls.

  • AI application protection

    Assess tool/plugin exposure; define runtime monitoring and guardrails.

  • Standards and compliance consulting

    Build AI security baselines, operating procedures, and repeatable review mechanisms.

Core capabilities

Service delivery modules

Model security, data protection, application guardrails, risk monitoring, and governance compliance for the AI era.

AI Model Security AssessmentData Security and Privacy ProtectionAI Application Risk ProtectionSecurity Standards and Compliance ConsultingAI Model Security AssessmentData Security and Privacy ProtectionAI Application Risk ProtectionSecurity Standards and Compliance Consulting
Engagement path

From joining to ongoing operations

  1. Scenario discovery

    Clarify goals, AI architecture, data dependencies, and integration points.

  2. Risk assessment

    Test model, data, and application exposure; evaluate control effectiveness.

  3. Control design and hardening

    Recommend I/O guardrails, segmentation, identity boundaries, and runtime monitoring.

  4. Governance and improvement

    Establish review standards, exception handling, and periodic reassessment.

Use cases

Who it's for and when

Enterprise knowledge assistants

Internal copilots tied to docs/code may leak confidential data via retrieval misuse.

Expert Consultation

Ready to evaluate or move forward?

Share your context, compliance needs, and timeline—our advisors will map next steps and introductions.

Contact now

Typical response within 1–2 business days