Our Services

Navigate AI complexity with confidence: Expert security and compliance
solutions that protect your business and power your growth.

AI Strategy, Governance, and Compliance

Ensure your AI is strategically aligned, governed, and compliant with evolving regulations.

AI Strategy & Adoption – Identify AI opportunities, develop roadmaps, and prepare organizations for AI adoption.
Responsible AI Governance – Develop ethical AI policies, governance frameworks, and integrate AI risk controls.
AI Regulatory Compliance – Align AI with NIST AI RMF, EU AI Act, ISO 42001, GDPR, HIPAA, and other regulatory standards.

AI Validation, Verification, and Assurance

Ensure AI models are accurate, explainable, and reliable.

AI Model Validation – Assess AI for accuracy, bias, fairness, and explainability.

AI System Verification – Ensure AI meets functional and security requirements before deployment.

Regulatory Compliance Validation – Confirm AI systems comply with global standards and legal requirements.

End-to-End AI System Testing – Conduct integration testing and user acceptance testing.

Ongoing AI Monitoring & Revalidation – Continuously assess AI performance, accuracy, and security over time.

AI Solution Selection & Implementation

Select, integrate, and optimize AI solutions tailored to your business needs.

AI Vendor & Tool Selection – Identify and procure AI solutions that align with your goals.

AI System & Process Integration – Ensure seamless AI adoption within your technology stack.

Model Selection & Fine-Tuning – Customize and optimize AI models for specific business challenges.

AI Agent Development & Maintenance – Build AI-powered assistants and decision-making tools with ongoing support.

AI Security & Threat Management

Secure AI models, data, and systems against evolving threats.

AI-Specific Threat Modeling – Identify vulnerabilities in AI models, data pipelines, and AI-powered applications.
AI Red Teaming & Adversarial Testing – Simulate real-world attacks, including adversarial input manipulation and model poisoning.
AI Supply Chain Security – Assess risks from third-party AI models, APIs, and vendors.
AI Model & Data Security – Protect AI models with encryption, access controls, and secure deployment techniques.
Privacy-Preserving AI – Implement differential privacy, federated learning, and synthetic data security.

AI Data Governance and Privacy

Protect sensitive data, ensure compliance, and build AI-ready data governance frameworks.

Privacy Impact Assessment (PIA) – Evaluate AI and IT systems for privacy risks and compliance with GDPR, HIPAA, CCPA.
AI Data Governance Consulting – Develop frameworks for ethical and compliant AI data usage.
Data Quality & Bias Management – Ensure AI training data is complete, accurate, and free from bias.
Data Security & Access Control – Protect AI datasets from unauthorized access and ensure compliance.
AI Data Monitoring & Audits – Continuously track AI data governance and detect privacy risks.

Cybersecurity Risk & Threat Assessments

Identify, assess, and mitigate security risks for AI and traditional IT environments.

Threat Risk Assessment (TRA) – Conduct risk assessments for AI, cloud, and IT environments using frameworks like NIST, ISO 27005, OWASP, and HTRA.
AI-Specific Risk Assessments – Assess AI risks, including adversarial attacks, data integrity issues, and model drift.
Cybersecurity Compliance Risk Assessments – Identify regulatory and security risks across IT and cloud ecosystems.
Risk Mitigation Strategy Development – Implement tailored security controls and response plans.

Privacy Impact Assessment (PIA)

Evaluate, identify, and mitigate privacy risks for AI-driven and traditional IT solutions.

Privacy Impact Assessments – Conduct PIAs aligned with PIPEDA, GDPR, HIPAA, and CCPA requirements for AI systems, cloud infrastructure, and enterprise applications.
AI-Specific Privacy Assessments – Assess AI-related privacy risks, including data anonymization, algorithmic bias, data subject rights, and transparency concerns.
Data Governance & Compliance Reviews – Review data-handling practices to ensure regulatory compliance and alignment with privacy best practices.
Privacy Risk Mitigation & Strategy Development – Develop targeted privacy controls, implement robust data governance frameworks, and strengthen your organization’s data protection posture.

Penetration Testing & Vulnerability Assessment

Strengthen defenses and proactively identify risks across applications, cloud, and IT infrastructure.

Application Security Penetration Testing (Web, API, and Mobile) – Identify and remediate security vulnerabilities through rigorous penetration testing and code-level assessments.
Network & Infrastructure Penetration Testing – Perform simulated cyberattacks to discover vulnerabilities and exploit potential attack paths.
Cloud Security Assessments (AWS, Azure, GCP) – Evaluate cloud configurations, detect misconfigurations, and validate security controls.
Comprehensive Vulnerability Assessments – Systematically scan and identify security vulnerabilities, prioritize risks, and provide actionable remediation guidance.
Continuous Vulnerability Management – Implement ongoing vulnerability monitoring, prioritization, and remediation tracking to maintain proactive security.
Secure Software Development (DevSecOps & SDLC) – Integrate security into software development practices through continuous code reviews, automated vulnerability scans, and secure coding standards.

Zero Trust Security for AI & Enterprise Systems

Implement Zero Trust principles to secure AI models, APIs, and enterprise IT assets.

AI Identity & Access Management (IAM) – Implement Zero Trust authentication and access controls for AI systems.
Zero Trust Network Access (ZTNA) – Secure enterprise and AI environments with micro-segmentation and policy enforcement.
AI Model & API Security – Prevent unauthorized AI queries, model extraction, and adversarial manipulation.
Zero Trust Architecture Design – Develop comprehensive Zero Trust frameworks for AI and enterprise networks.