AIGuard X (AIGX) secures and governs AI systems responsibly, ensuring ethical, compliant, and resilient operations. Through AI risk assessment, responsible governance, robust security controls, continuous monitoring, and regulatory compliance, AIGX transforms AI deployment into a safe, transparent, and measurable capability. Every model, data pipeline, and decision is optimized for trust, accountability, and future-ready AI operations

Guard Your Data

AI Risk Assessment & Audit

Systematically identifies vulnerabilities, biases, and operational risks in AI models and data pipelines to ensure safe, ethical, and reliable AI deployment.

Advisory

Prioritize risks based on business impact, regulatory exposure, and ethical considerations. Develop a mitigation roadmap.

AI Functionalities in Action

Automated scanning of AI models, datasets, and pipelines to detect vulnerabilities, biases, and operational risks. Generate risk scores, provide actionable insights, and flag high-risk models for review.

Strategy

Identify AI systems, data pipelines, and models in use. Map potential risks including biases, security vulnerabilities, and operational impacts. Define KPIs for AI trustworthiness and reliability.

Responsible AI Governance

Establishes ethical, transparent, and accountable frameworks to guide AI development, deployment, and decision-making.

Advisory

Align AI governance with organizational objectives and regulatory requirements. Set up roles, responsibilities, and approval workflows.

AI Functionalities in Action

Enforces policy compliance for every AI model and data pipeline. Tracks adherence to governance rules, provides audit trails, and ensures accountability in decisions generated by AI.

Strategy

Establish governance frameworks that embed ethics, fairness, accountability, and transparency into AI lifecycle. Define policies for model development, deployment, and decommissioning.

AI Security & Access Controls

Protects AI models, data, and outputs through robust security measures and controlled access to prevent misuse or breaches.

Advisory

Align access control, authentication, and monitoring protocols with organizational cybersecurity standards.

AI Functionalities in Action

Implements access controls, data encryption, and activity monitoring. Detects unauthorized model changes or data access, prevents misuse, and secures sensitive AI-driven processes.

Strategy

Assess critical AI assets, identify security gaps, and recommend policies for secure model and data management.

Continuous Monitoring & Explainability

Tracks AI performance and decisions in real-time, providing transparency, auditability, and explainable outcomes.

Advisory

Recommend tools and processes for real-time performance tracking and anomaly detection.

AI Functionalities in Action

Monitors AI outputs, model drift, and decision consistency. Provides explainable AI outputs, traceability of model decisions, and transparent reporting for stakeholders.

Strategy

Define metrics for AI performance, fairness, explainability, and reliability. Establish monitoring dashboards, alert mechanisms, and audit trails for key stakeholders.

Regulatory & Ethical Compliance

Ensures AI systems adhere to legal standards and ethical guidelines, maintaining accountability and trustworthiness.

Advisory

Integrate AI compliance into internal audit, risk management, and legal processes.

AI Functionalities in Action

Validates AI operations against regulations, generates compliance reports, and flags potential violations. Supports audit readiness and adherence to ethical standards.

Strategy

Map AI activities to regulatory frameworks (GDPR, CCPA, industry-specific AI regulations). Recommend compliance workflows and documentation practices.

Operational Resilience

Ensures AI systems remain reliable, secure, and functional under disruptions, supporting continuous and future-ready operations.

Advisory

Develop future-ready AI adoption strategies considering evolving business needs, technology, and regulatory landscape.

AI Functionalities in Action

Provides automated failover, disaster recovery options, and resilient deployment architectures. Ensures AI operations remain safe, reliable, and accountable under stress or disruption.

Strategy

Ensure AI systems are resilient, with fallback plans, redundancy, and business continuity.