AI Security
Navigate AI adoption securely—harness opportunity whilst managing emerging risks
Expert guidance to help you adopt, deploy, and govern AI systems securely. We ensure AI becomes a strategic advantage—not a new attack surface.
What we deliver
Ensuring secure AI integration from strategic planning to operational execution.
AI is transforming business—from customer service chatbots to predictive analytics, automation, and decision support. But AI introduces new security challenges: data poisoning, prompt injection, model theft, privacy risks, and algorithmic bias.
As organisations race to adopt AI, security often becomes an afterthought. We help you integrate AI securely from the outset—ensuring you harness AI's potential whilst managing risks to data, systems, and reputation.
Whether you're deploying AI tools, building AI-powered products, or establishing AI governance frameworks, we provide the specialist expertise to navigate this rapidly evolving landscape with confidence.
Client outcomes
Secure AI Adoption
Deploy AI systems with confidence that security risks are understood and managed—avoiding data breaches, model theft, and reputational damage.
Regulatory Compliance
Meet emerging AI regulations whilst ensuring GDPR compliance for AI systems processing personal data.
Risk-Based AI Governance
Clear governance frameworks ensure AI risks are identified, assessed, and managed within your organisation's risk appetite—enabling informed AI investment decisions.
Protected Intellectual Property
Secure AI architecture and controls protect proprietary models, training data, and AI-derived insights from theft or unauthorised access.
Reduced AI-Specific Incidents
Proactive security reduces prompt injection, data poisoning, model manipulation, and other AI-specific attack vectors.
Strategic AI Advantage
Organisations that adopt AI securely gain competitive advantage—building customer trust whilst competitors struggle with AI security incidents.
How we work
A typical example of how we work with clients.
Please note our engagement models are flexible—from strategic AI governance projects to ongoing security advisory for AI development programmes.
Discovery & AI Landscape Assessment
We understand your current and planned AI use cases, existing AI deployments (including Shadow AI), and risk appetite. We identify immediate security priorities and governance gaps.
Risk Assessment & Threat Modelling
We conduct AI-specific threat modelling, identifying risks relevant to your use cases. We assess data flows, model architecture, and potential attack vectors.
Governance & Policy Development
We establish AI governance frameworks, develop policies for responsible AI use, and define risk management processes that ensure ongoing oversight and accountability.
Implementation Support
We guide secure implementation of AI systems, reviewing architectures, advising on security controls, and ensuring AI deployments meet defined security requirements.
AI Security Advisory
AI security is rapidly evolving. We provide ongoing advisory support, monitoring emerging threats, regulatory developments, and AI security best practices—ensuring you stay ahead of risks.
Where the systems matter most
Soteria works with organisations whose systems underpin national security, critical services, and regulated industry - environments where security, resilience, and assurance are non-negotiable.
We bring contextualised cyber and digital consultancy aligned to the governance, compliance, and threat realities of high-assurance sectors - enabling secure, assured delivery from concept to operation.
AI security, properly defined
AI Security Specialists
Our consultants bring specialist expertise in AI security, machine learning risks, and emerging AI regulations—going beyond general cybersecurity to address AI-specific challenges.
Practical, Not Theoretical
We focus on practical AI security guidance relevant to your use cases—not academic theory. Our approach helps you deploy AI securely whilst maintaining operational efficiency.
Regulatory Knowledge
Deep understanding of EU AI Act, UK AI Safety Standards, and sector-specific AI requirements ensures you're prepared for regulatory compliance.
Risk-Based Approach
We prioritise AI risks based on actual threat and business impact—ensuring security effort is proportionate and focused where it matters most.
Vendor-Neutral Advice
We provide objective guidance on AI security—not tied to specific vendors, platforms, or AI service providers.
Emerging Threat Awareness
AI security evolves rapidly. We monitor emerging threats, attack techniques, and security research—ensuring our guidance reflects current best practice.
FAQs
Explore some of the questions regularly asked about this service. Have a question not covered here? Get in touch.
Key risks include data poisoning, adversarial attacks, model theft, prompt injection (for LLMs), privacy violations, bias and fairness issues, and unauthorised AI usage (Shadow AI). Risks vary by AI use case and deployment model.
Yes. Even when using third-party AI services, you're responsible for data protection, appropriate use, and managing risks from AI decisions. We help you assess vendor security and govern AI tool usage.
The EU AI Act regulates AI systems based on risk level—from minimal risk through to unacceptable risk (banned). Requirements include transparency, human oversight, and conformity assessment for high-risk AI. We help you understand obligations and comply.
Shadow AI is unauthorised use of AI tools—employees using ChatGPT, AI coding assistants, or other tools without governance. This creates data leakage, compliance, and security risks. We help you detect and govern Shadow AI.
Through access controls, encryption, monitoring, and architectural protections. For cloud-deployed models, additional protections include API rate limiting, usage monitoring, and model obfuscation techniques.
Absolutely. AI can enhance threat detection, automate security operations, and improve incident response. We help organisations adopt AI for security whilst managing associated risks.
AI governance can integrate into existing risk and security frameworks, but AI-specific considerations require attention—bias assessment, model validation, data lineage, and algorithmic transparency beyond traditional IT governance.
Through data protection impact assessments, privacy-by-design principles, ensuring lawful processing, maintaining transparency around automated decisions, and implementing rights to explanation and human oversight where required.
Very rapidly. New attack techniques, regulations, and best practices emerge continuously. Ongoing advisory support ensures you stay current with AI security developments.