Call:
+353 1 576 3159
Write:
info@aicorex.ai
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hr@aicorex.ai
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sales@aicorex.ai
Support:
support@aicorex.ai
Locations:
Dublin, Ireland
AI Core X takes a security-first approach to technology design and implementation. Security considerations are incorporated from architecture and identity management through data protection, system integration and operational monitoring.
Our goal is to help organisations reduce risk while maintaining the flexibility required to adopt AI, cloud and modern digital technologies responsibly.
We design secure technology environments with clear system boundaries, controlled access, protected integrations and security considerations built into the architecture from the beginning.
Security by Design
We support appropriate safeguards for sensitive information, including encryption, controlled storage, secure data flows and access restrictions based on business and technical requirements.
Data Security
We help structure identity and access controls using least-privilege principles, role-based permissions, secure authentication and clearly defined ownership across systems and users.
Access Control
We incorporate privacy considerations into technology design by reducing unnecessary data exposure, controlling access and applying safeguards throughout the information lifecycle.
Privacy First
We support logging, monitoring and operational visibility that help organisations understand system activity, identify unusual behaviour and maintain oversight across their technology environment.
Visibility & Control
We design solutions to work with existing Microsoft environments while supporting established identity, access, cloud security and governance controls across the organisation.
Microsoft Ecosystem
Responsible Security
Security should enable organisations to adopt new technology confidently rather than creating unnecessary barriers.
AI Core X helps organisations introduce structured controls around data, identities, applications, cloud environments and AI systems while maintaining usability and operational flexibility.
AI Core X considers security and data protection throughout solution architecture and implementation.
Depending on the requirements of the engagement, controls may include secure authentication, role-based permissions, encryption in transit and at rest, data segregation, secure APIs, monitoring and audit logging.
Rather than applying a single security model to every organisation, controls are designed around the sensitivity of the data, technology environment, organisational policies and operational requirements.
We apply privacy-conscious design principles when working with systems and information. This includes limiting access to data, reducing unnecessary collection and applying appropriate technical and organisational safeguards.
If a security researcher, customer or user identifies a potential vulnerability affecting AI Core X systems or services, we encourage responsible disclosure so the issue can be investigated appropriately.
Potential security vulnerabilities should be reported privately and should include enough information for our team to understand and reproduce the issue where possible.
We ask researchers to avoid accessing unnecessary information, disrupting services or publicly disclosing a vulnerability before AI Core X has had reasonable time to investigate it.
AI Core X can work alongside an organisation's existing Microsoft technology environment rather than requiring security controls to be rebuilt from scratch.
Our approach can incorporate existing identity, permissions, governance and cloud controls across Microsoft technologies.
Secure cloud architecture, workload configuration, access controls, monitoring and governance for Azure-based environments.
Identity, authentication and access management designed around controlled permissions and clear ownership.
Secure integration with organisational productivity and collaboration environments where required.
Solutions can work with established Microsoft security policies and organisational controls without introducing unnecessary parallel systems.
AI Core X approaches compliance as part of a broader security and governance strategy.
Our work can be informed by recognised cybersecurity, information-security and AI-governance frameworks, together with applicable regulatory requirements and the organisation's own internal policies.
Where a project references recognised standards or frameworks, this means that the solution or methodology may be aligned with relevant principles or controls. It should not be interpreted as a claim that AI Core X holds a certification unless explicitly stated.
Security controls can be mapped to recognised industry frameworks based on the requirements of the engagement.
Logging, documentation and structured controls can help organisations maintain evidence for internal governance and audit processes.
Security requirements are adapted to the organisation's technology environment, policies, risk profile and compliance obligations.
Security is considered from the earliest stages of architecture, implementation and technology decision-making.
Users, systems and services receive only the access required to perform their intended functions.
Appropriate safeguards are applied based on the sensitivity, purpose and lifecycle of organisational information.
Ownership, responsibilities and access decisions are clearly defined across systems, users and technology environments.
Security practices are reviewed and refined as technologies, operational requirements and potential risks evolve.
Security, governance and accountability are considered alongside the adoption and deployment of AI technologies.
We use a security-by-design approach that considers architecture, identity, access, data protection, monitoring and governance throughout the design and implementation of technology solutions.
Security controls depend on the system and engagement, but may include encryption in transit and at rest, role-based access, data isolation, secure authentication, logging and other technical and organisational safeguards.
AI Core X may design solutions using principles and controls from recognised security frameworks. References to standards or frameworks do not imply that AI Core X itself holds a particular certification unless this is explicitly stated.
Yes. Solutions can be designed to integrate with existing Microsoft identity, cloud and security controls, including environments using Azure, Microsoft Entra ID and Microsoft 365.
Potential vulnerabilities should be reported privately through the designated AI Core X support or security contact so the issue can be reviewed and investigated responsibly.
AI Core X can help organisations design and document security and governance controls around relevant internal policies, recognised frameworks and applicable compliance requirements.
