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AI Security Assurance & Governance

Secure AI. Govern AI. Assure AI.

ITDATA helps organizations identify, assess and manage security risks in AI applications and agentic systems while aligning controls to recognized governance and assurance frameworks.

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AI risk assessmentGovernance & framework mappingEvidence, dashboards & assurance
AI Security assurance platform overview
Frameworks alignedOWASP Top 10 for LLM Applications
Agentic AIOWASP Agentic AI guidance
NISTAI Risk Management Framework
ISOISO/IEC 42001 alignment
AssuranceAIUC-1 and evidence-led reviews
AI Security Lifecycle

Assess, govern and assure enterprise AI

A structured approach to evaluating AI systems, mapping controls, maintaining evidence and demonstrating governance maturity.

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Assess

Discover and assess risks across AI applications, agents, prompts, models, data, tools and integrations.

  • AI application and use-case review
  • Vulnerability and misconfiguration assessment
  • Trust-boundary and access-risk analysis
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Govern

Map findings to trusted frameworks and manage controls across policies, responsibilities and security practices.

  • Framework and compliance mapping
  • Policy, role and workflow governance
  • Control ownership and remediation planning
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Assure

Maintain evidence and generate dashboards and reports that support executive visibility, reviews and audit readiness.

  • Evidence and assurance management
  • Real-time dashboards and reporting
  • Audit-ready reporting and posture reviews
Product Capabilities

Core AI security assurance capabilities

Capabilities can be delivered as assessment-led engagements, implementation support or managed governance services depending on customer needs.

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AI Security Assessment

Assess LLM applications, models, prompts, tools, integrations and data flows to identify vulnerabilities and control gaps.

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Agentic AI Assurance

Evaluate autonomous agent workflows, permissions, tool access and escalation paths to reduce misuse and unsafe autonomy.

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Framework & Compliance Mapping

Map findings to security and governance frameworks and maintain control coverage as standards evolve.

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Risk & Evidence Management

Centralize findings, remediation actions, evidence records and control assessments in a structured review model.

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Reporting & Dashboards

Create management-ready dashboards for risk posture, compliance alignment, assurance progress and stakeholder reporting.

Business Outcomes

Why enterprises need AI security assurance

  • Reduce AI risk — identify and mitigate AI-specific security risks early.
  • Accelerate AI adoption — provide a structured assurance process that enables innovation with confidence.
  • Demonstrate compliance — align to AI security and governance frameworks with clearer evidence.
  • Centralize assurance — replace fragmented tools and spreadsheets with a unified review model.
  • Improve audit readiness — maintain consistent evidence and assessment history for audits and reviews.
  • Scale with confidence — use repeatable governance models as the AI portfolio grows.
Deployment & Delivery

Flexible engagement models

Customer-managed cloudDeploy in AWS, Azure or Google Cloud using Docker-based deployment patterns.On-premises / private infrastructureSupport sensitive or regulated environments requiring stronger infrastructure control.Managed / hosted serviceOperate as a managed service in a dedicated cloud environment where suitable.
Cybersecurity Foundation

Protect the infrastructure AI depends on

AI governance is strongest when built on resilient identity, endpoint, cloud and backup controls. ITDATA combines AI-focused assurance with practical cybersecurity support.

Identity & Access

MFA, privileged access reviews, role-based controls and identity hygiene.

Endpoint & Email Security

Endpoint protection, policy hardening, email security and device compliance.

Cloud & Application Security

Microsoft 365, cloud configuration reviews and secure integration practices.

Backup & Resilience

Recovery readiness, backup verification and resilience-focused recommendations.

24/7 SOC, MDR, penetration testing and formal compliance audits can be scoped separately or delivered with specialist partners where required.

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AI Assurance Workflow
  1. AI application / agent discovery
  2. Security & agentic AI assessment
  3. Risk and vulnerability findings
  4. Framework and control mapping
  5. Evidence and assurance management
  6. Executive and audit reporting

Build safer AI adoption with confidence.

Discuss AI security, governance, cybersecurity or assurance-led implementation support with ITDATA.

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