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AI Governance Services

Start with data. Succeed with AI.

AI is only as good as the data behind it. Transform your data into a trusted foundation for innovation, growth and competitive advantage.

Turning data from a risk to an asset

Organisations have traditionally seen data as a liability, weighed down by security and compliance risks. AI is changing that and transforming data into a powerful strategic asset.

But AI is only as effective as the data behind it. Accurate, well-structured, contextual data drives better innovation to deliver competitive advantage and growth.

That’s why we start with your data and build up to AI ensuring the right inputs for better outcomes and meaningful business value.

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Practical advice for complete peace of mind

  • Specialist knowledge of AI implementation and AI governance
  • Pragmatic solutions to common AI challenges
  • Reassurance that your AI technologies are implemented according to best practices and aligned to business goals
  • Up to the minute advice regarding current and future AI-related legislation to ensure compliant processes.

AI risks and challenges

Critical to your AI strategy's success is your organisation's ability to understand and manage AI-related risks.

Agents and Prompts: These interaction layers act as new security boundaries. Prompts by bad actors have the ability to cause major harm and mislead agents​.

Sensitive Data: Automation agent that reads internal documents, updates CRM records, and sends automated communications.​

Unintended actions by agents: Goal directed agents can have unintended actions against users. Agents Prompt injection could cause the agent to retrieve confidential data or perform unintended actions.​

Shadow AI is expanding the enterprise attack surface: 40% report shadow AI usage, including employees uploading internal documents, connecting code repositories to AI assistants & using AI to process sensitive HR data.

To solve each of these challenges, the right system orchestration is key.

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Common AI challenges:

  • Data hallucination​
  • Unintended bias and discrimination​
  • Applying AI to the right problems​
  • Keeping pace in AI arms races (competitor activity, employees/candidates using AI)​
  • System security and integrity​
  • Regulatory oversight​.

Looking at AI Governance through a lifecycle lens

AI governance doesn’t start after deployment—it begins with your data. Effective data governance means proactively managing the entire data lifecycle, from collection to model output, ensuring your AI systems are accurate, ethical, and compliant.

When your data lifecycle is governed effectively, your AI delivers better outcomes.

Well-governed data means optimised AI performance.

Robust governance frameworks means reduced risk and lower cybersecurity exposure.

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Strong AI and data governance frameworks help organisations:

  • Ensure data accuracy and integrity
  • Maintain data availability for AI use
  • Protect data security, privacy, and confidentiality
  • Meet regulatory compliance and ethical AI standards.

Our AI services

As a leader in AI governance consulting services, we deliver clear, practical and actionable advice that is underpinned by extensive assessment of the opportunities and the risks.

Data discovery & classification: A low impact, high insight analysis of your PII data assets and flows to classify all data stores and workflows and align with regulation.
 
AI asset registry: Establishing a central governance system that ensures your AI use meets regulatory requirements.
 
Workflow alignment: Tracing and documenting workflows spanning agentic and procedural systems in line with regulatory demands.
 
Access authentication and authorisation: Defining and establishing operational controls that enforce security policies and manage risk exposure.
 
Compliance and risk management:  Integration of best practice processes, policy controls, compliance agents and ethical guardrails within your existing compliance structures.
 
Lifecycle management & evaluation: Comprehensive testing frameworks for agent pipelines to ensure accuracy and compliance and foster continuous improvement.

 

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Practical guidance to help HR professional navigate the EU AI Act

The adoption of AI in HR brings with it vast potential - streamlined processes, enhanced decision-making and innovation. However, realising these benefits means addressing regulatory complexities - the EU AI Act and other AI legislation.

1. Recruitment Consultation
The Recruitment Consultation combines two key aspects of data governance by exploring one of the key risk areas for any organisation in adopting AI technologies: safer and more effective recruitment.

Output:  A concise report on the principal AI and data protection risks in your recruitment process and actions that can be taken to mitigate them.

2. Conformity Assessment
Understanding the risks presented by AI is the first step towards addressing them: a conformity assessment enables you to identify, evaluate and mitigate the risks posed by the adoption of AI systems.

Output:  Assurance about the safe management of your organisation’s data, reassurance that the bond of trust between employer and employee is not broken.

3. AI Audit
A full discovery and audit of AI usage across your organisation, designed to understand your overall risk profile and report on the steps needed to control AI-related risks.

Output:  Our AI Audit offers improved visibility of the ways in which AI is used across your organisation, creating opportunities for business improvement, as well as greater assurance around the safety and security of the data and people involved.

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"The Securys aiEthix team provided valuable support in helping Fullsight establish a tailored global AI governance program on top of its existing data protection framework. Their guidance helped us set up and roll out our governance system more quickly while aligning it with upcoming AI regulations and industry best practices."

Toolkit

Good privacy can be a real point of difference with your competitors. We have developed a series of services which comprise our Privacy Made Positive toolkit including, benchmarking, user journey/privacy signalling, surface risk scoring, customer and employee surveys.

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Act now and speak to us about your privacy requirements

Start a conversation about how Privacy Made Positive® can benefit your business.

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