Secure AI (SAI) Solutions

Secure AI is the practice of adopting AI technologies in a trustworthy, sustainable, and fit-for-purpose way so organisations can experience its benefits, while addressing security and operational risks introduced by the nature of AI systems.

To achieve secure adoption of AI technologies, organisations should implement an adaptable and proportionate approach based on their specific use cases and the risks they pose to systems, data, and people.

An AI governance framework is a modular and technology-agnostic framework that helps organisations support the continuous and evolving adoption of AI safely, securely and responsibly. Without clear decision-making structures and accountabilities defined, organisations face inconsistent practices, misaligned use cases, and avoidable security exposures.

A successful AI governance framework should be aligned with the organisation’s strategy, risk appetite and regulatory expectations.

• Invest in foundational cyber defences: Preventative actions and foundational cyber security measures are the best way to prevent AI-driven cyber attacks. This can include setting up continuous monitoring of assets to accountable owners, implementing identity governance and privileged access management, mandatory multi-factor authentication, and patching known vulnerabilities.
• Improve AI implementation: Organisations must create and maintain AI governance at executive, operational and technical levels, with plans aligned to risk posture and privacy risks. Identify and create controls for sanctioned AI use cases and identify unsanctioned AI use and redirect users to sanctioned use cases. Implement secure-by-design AI architecture with measures such as AI workload sandboxing, human in the loop controls, and data and agentic memory storage monitoring.
• Use AI for cyber defence: Help defenders keep pace with AI enabled threats by using agentic scanning capabilities to analyse code weaknesses or vulnerabilities, develop and test patches, and queue them for deployment with human team approval. Organisations can continuously monitor their operating environment and use AI pattern matching capabilities to detect deviations.

While organisations are experiencing the many benefits that AI adoption brings, cyber criminals are using AI to rapidly scale their malicious operations and exploits. Attackers are moving at machine speed, while organisations and defenders remain constrained by underfunding, legacy technology, increasing vulnerabilities, manual processes and security measures behind world standards.

Without the appropriate defences, organisations can potentially increase their exposure to cyber attacks, associated business disruption and financial loss.

The secure AI services your organisation needs will depend on where you are in your AI adoption journey, your risk profile, and the maturity of your existing controls.

Organisations that are just starting with AI may benefit from defining AI security strategies, governance frameworks, and system architectures to establish a strong foundation for responsible AI adoption.

Organisations actively deploying AI may require secure AI infrastructure, including landing zones, Continuous Integration/Continuous Delivery (CI/CD) pipelines, LLM platforms, and identity controls.

Organisations with mature AI systems should focus on testing their AI systems for security threats and operating them securely with continuous monitoring through services such as AI penetration testing, AI monitoring, incident response planning, and managed security services.

CyberCX’s team of Secure AI experts and technology partners helps organisations successfully adopt and deploy AI through industry leading strategy, governance, access controls, and training. Our services span the AI lifecycle, helping organisations build compliant and resilient operations at every stage of their AI journey.