AI & Data Security & GRC Services
As organisations leverage artificial intelligence and manage ever-growing volumes of data, our AI & Data Security services ensure that these valuable assets are well-protected and used responsibly. We assist you in establishing strong data governance practices, which means classifying your data (knowing what is sensitive or regulated), setting up proper data handling policies, and implementing controls to keep data confidential, integral, and available to those who need it. Compliance is a big part of this service – we help you meet obligations under laws like GDPR and standards like ISO 27701 (privacy information management), so that personal data and other critical information are handled in accordance with regulations.
On the AI side, we provide guidance on securing AI systems and algorithms. This includes performing security assessments on machine learning models and their supporting infrastructure: for example, ensuring training data is not tainted, models are not vulnerable to adversarial examples, and that AI outputs don’t unintentionally expose sensitive data. We also advise on AI governance, which covers defining policies for ethical AI use, transparency, and risk management around AI deployments (an increasingly important area as regulations on AI emerge). Additionally, our team can help implement advanced security analytics solutions that leverage AI – such as anomaly detection systems that identify threats by learning your network’s normal behaviour. By combining data security, privacy compliance, and AI risk management, we help your organisation innovate with data and AI securely and in line with good governance practices.
- Data Governance & Privacy: Establish data classification policies and control frameworks to manage sensitive information responsibly and comply with privacy regulations (like GDPR or CCPA).
- Data Loss Prevention: Implement DLP tools and strategies (using solutions like Microsoft Purview Information Protection or Symantec DLP) to monitor and prevent unauthorised transfer of sensitive data, whether on-premises or in the cloud.
- AI Security Assessment: Evaluate and fortify the security of your AI and machine learning systems, ensuring algorithms and training data are protected against manipulation or leakage.
- AI Governance & Compliance: Develop governance for AI deployments, including ethical AI guidelines, risk assessments for AI use cases, and adherence to emerging AI regulations and frameworks (e.g., the NIST AI Risk Management Framework).
- Encryption & Key Management: Deploy strong encryption for data at rest and in transit, and manage encryption keys securely throughout their lifecycle (e.g., using cloud key management services like AWS KMS or Azure Key Vault) to protect your critical data assets.
