AI & Cyber Services

A structured, independent assessment of an organization’s information security framework to determine its conformity with ISO 27001 requirements and its effectiveness in protecting sensitive information.

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Structure and Approach:
The audit follows a systematic, risk-based methodology beginning with a review of ISMS documentation, including policies, risk assessments, and control implementations. Auditors evaluate the organization’s risk management process, scope definition, and Statement of Applicability (SoA). Through interviews, process walkthroughs, and evidence sampling, the audit examines how security controls are implemented across people, processes, and technology. It also assesses governance, leadership involvement, incident management, access controls, and continuous improvement practices to ensure the ISMS is properly designed and maintained.

What It Identifies:
The audit identifies gaps in compliance with ISO 27001 requirements,
weaknesses in security controls, and inconsistencies between documented procedures and actual practices. It highlights vulnerabilities that could expose the organization to information security risks, such as inadequate access management, insufficient monitoring, or lack of incident response readiness. Additionally, it provides actionable insights to strengthen the ISMS, improve risk mitigation, and support certification or ongoing compliance efforts.

A structured, independent evaluation of an organization’s privacy framework to assess its alignment with ISO 27701 requirements and its effectiveness in managing and protecting personal data.

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Structure and Approach:
The audit follows a systematic, risk-based approach that begins with a review of privacy policies, procedures, and documentation integrated with the organization’s existing Information Security Management System (ISMS). Auditors assess the organization’s role as a data controller and/or processor, examining how privacy risks are identified, assessed, and mitigated. The process includes stakeholder interviews, data flow analysis, and sampling of operational practices to evaluate controls related to data collection, processing, storage, sharing, and retention. It also reviews governance structures, consent management, data subject rights handling, breach response processes, and ongoing monitoring and improvement mechanisms.

What It Identifies:
The audit identifies gaps in compliance with ISO 27701 requirements,
weaknesses in privacy governance, and misalignments between documented policies and actual data handling practices. It highlights risks related to improper data processing, insufficient consent mechanisms, inadequate protection of personal data, or ineffective response to data subject requests and breaches. Additionally, it provides actionable recommendations to strengthen privacy
controls, enhance regulatory compliance, and build trust through responsible data management.

A structured, independent evaluation of an organization’s AI governance framework, designed to verify alignment with ISO 42001 requirements for responsible and trustworthy AI management.

Structure and Approach:
The audit follows a systematic methodology that begins with a review of documented policies, procedures, and AI-related controls. Auditors assess the design and implementation of the AIMS through interviews with key stakeholders, examination of AI system lifecycle processes, and sampling of operational evidence. The approach is risk-based, focusing on how the organization identifies, manages, and monitors AI risks, including ethical considerations, data governance, transparency, and accountability. It also evaluates continual improvement mechanisms and oversight structures.

What It Identifies:
The audit identifies gaps in compliance with ISO 42001 requirements,
weaknesses in AI governance and risk management practices, and inconsistencies between documented processes and actual implementation. It highlights areas of potential ethical, legal, or operational risk, such as bias, lack of transparency, inadequate controls, or insufficient monitoring. Additionally, it provides actionable insights to strengthen AI system reliability, enhance trust, and support ongoing compliance and certification readiness.

An independent assessment of an organization’s internal controls, designed to evaluate the effectiveness of processes that impact financial reporting (SOC 1) and the security and operational integrity of systems (SOC 2).

Structure and Approach:
The audit follows a structured methodology based on AICPA standards. For SOC 1, the focus is on controls relevant to financial reporting, assessing processes such
as transaction processing, data handling, and financial system integrity. For SOC 2, the audit is based on the Trust Services Criteria—security, availability, processing integrity, confidentiality, and privacy.

Auditors begin with a review of system descriptions, control objectives, and control design. This is followed by interviews with key personnel, walkthroughs of processes, and detailed testing of controls. Depending on the report type (Type I or Type II), the audit may evaluate controls at a point in time or over a defined period. Evidence is collected through sampling, observation, and inspection to validate that controls are properly designed and operating effectively.

What It Identifies:
The audit identifies gaps in control design and effectiveness, as well as inconsistencies between documented controls and actual practices. In SOC 1, it highlights risks that could impact the accuracy and reliability of financial reporting. In SOC 2, it identifies weaknesses related to system security, data protection, availability, and operational resilience.

Additionally, the audit provides insights into control deficiencies, potential vulnerabilities, and areas for improvement, helping organizations strengthen internal controls, enhance trust with stakeholders, and demonstrate compliance with industry standards.