Security leadership for enterprise AI deployments
ETT provides specialist vCISO support for organisations deploying AI, LLMs, voice automation and agentic systems at scale. We help enterprises assess risk, strengthen governance, protect sensitive data and build the controls needed for AI to operate safely in live business environments.
Why this matters
AI changes the security conversation.
As LLMs, voice automation and AI agents become part of business operations, they create new risks around data exposure, model behaviour, automated decision-making, customer interactions and system access.
Traditional cyber controls still matter, but they are not always enough on their own. AI systems can be vulnerable to prompt injection, output manipulation, hallucination, data leakage, insecure integrations and weak governance around model use.
ETT helps organisations address those risks before they become barriers to adoption. Our vCISO for AI service provides the security leadership, governance structure and practical oversight needed to scale AI with greater confidence.
Why AI needs specialist security oversight
AI systems do not simply store or process information. They interpret, generate, recommend, retrieve and, in some cases, trigger action. That makes oversight more complex.
A poorly governed AI system may surface sensitive information, produce inaccurate outputs, follow manipulated prompts or connect to workflows in ways the business has not properly controlled. Voice and conversational AI can introduce further risks around customer data, payment information, recordings, transcripts and regulated interactions.
Specialist AI security oversight helps organisations understand where those risks sit and what controls need to be in place: policy, governance, technical testing, incident planning, data protection, model risk management and executive visibility.
How we help
AI security risk assessment
We assess the security, privacy and operational risks connected to AI systems, LLMs, voice automation and agentic workflows.
AI governance framework
We help define policies, responsibilities, controls and decision-making structures for safe and accountable AI use.
LLM and prompt security
We assess risks such as prompt injection, output manipulation, hallucination, data leakage and model misuse.
Data classification and policy review
We review how sensitive data is identified, protected and governed before it is used in AI systems or automated workflows.
Compliance readiness
We help assess AI-related compliance considerations across frameworks such as GDPR, HIPAA, PCI-DSS, SOC 2, ISO alignment and sector-specific obligations.
Incident response and breach readiness
We help define response plans for AI-specific incidents, including model misuse, unsafe outputs, data exposure and compromised integrations.
Executive risk reporting
We provide clear reporting for leadership teams, helping boards and senior stakeholders understand AI risk, control maturity and priority actions.
Flexible engagement, not rigid packages
Teams preparing for AI deployment or reviewing early-stage AI use.
- AI security risk assessment
- Data classification and policy review
- Regulatory gap analysis
- Threat modelling for LLMs and voice AI
- AI use policy guidance
Teams operating AI, LLM or voice automation systems in production.
- Regular vCISO strategy sessions
- API and integration security review
- Prompt injection, manipulation and hallucination risk review
- Incident response playbooks
- Security scorecards and priority actions
Enterprise teams building AI into critical operations across multiple systems, regions or business units.
- Executive risk reporting
- Board-level briefings
- Data sovereignty advisory
- Model update and rollback governance
- Custom AI governance framework
- Ongoing AI security roadmap
AI-specific risk areas
LLM safety and output control
We assess how models generate, retrieve and present information, reducing the risk of unsafe, inaccurate or unsupported outputs.
Prompt injection and manipulation
We test and strengthen AI systems against malicious prompts, instruction manipulation and attempts to bypass intended controls.
Data leakage and privacy risk
We identify where sensitive data could be exposed through AI workflows, retrieval systems, voice interactions or connected applications.
Voice and payment security
For customer-facing automation, we assess risks around voice data, recordings, transcripts, payment flows and regulated interactions.
API and integration security
AI systems often rely on APIs and third-party connections. We review the security of those integration points before they become weak links.
Model governance
We help define how models are approved, updated, monitored, rolled back and reviewed over time.
AI incident response
We help prepare for AI-specific incidents that traditional breach playbooks may not fully cover.
Specialist add-ons
DPO-as-a-Service
Ongoing data protection officer support for organisations that need privacy leadership around AI, data use and regulated processing.
ISO 27001 alignment
Help aligning AI security controls, governance and documentation with ISO 27001 expectations.
AI red teaming
Structured adversarial testing of AI systems to probe prompts, outputs, integrations and failure modes before they reach production.
Who this service is for
CISOs and security leaders
Understand and manage the risks introduced by AI, LLMs and automated workflows.
CTOs and technology leaders
Oversee AI architecture, integrations, platforms and technical delivery.
Compliance and risk teams
Prepare for audits, regulatory reviews, AI policies or sector-specific compliance requirements.
CX and contact centre leaders
Deploy voice AI, chat automation or customer-facing AI that handles sensitive interactions.
Executive and board stakeholders
Need clear visibility of AI risk, governance maturity and control priorities.
How we build security into AI deployment
Diagnose
We assess AI use cases, data flows, model behaviour, integrations, compliance exposure and current security maturity.
Design
We define the governance model, control requirements, policy framework, escalation routes and security architecture needed to support safe AI use.
Deploy
We support the implementation of controls, testing, monitoring and incident response processes around AI systems moving into live operation.
Operate
We provide ongoing oversight, reporting, review and improvement so AI security keeps pace with changing models, workflows and risks.
What sets this apart
ETT understands that AI security is not only a technical control problem.
AI risk sits across models, data, prompts, integrations, workflows, people and governance. Managing it properly means understanding how AI is being used inside the business, what it connects to, and what could happen if it behaves unexpectedly.
Our vCISO for AI service connects security leadership with practical AI delivery. We help organisations protect trust while continuing to innovate, so governance becomes an enabler of adoption rather than a blocker.
AI-specific security leadership
We focus on the risks introduced by LLMs, voice automation, agentic systems and AI workflows.
Practical controls, not theory
We define policies, testing, monitoring and response processes that can be used in live environments.
Governance that supports adoption
Security should help AI scale responsibly, not slow it down unnecessarily.
Clear executive visibility
We translate AI risk into clear priorities for leadership teams, boards and delivery stakeholders.
Often delivered alongside
Common questions
What is a vCISO for AI?
A vCISO for AI provides specialist security and governance leadership for organisations deploying AI, LLMs, voice automation or agentic systems. The role helps assess risk, define controls and support safe adoption.
Why does AI need specialist security oversight?
AI systems introduce risks around prompts, model outputs, sensitive data, integrations, automated workflows and governance. These often require controls beyond traditional cybersecurity measures.
What is prompt injection testing?
Testing whether an AI system can be manipulated through malicious or unexpected instructions. It helps identify weaknesses in how the system follows prompts, accesses information or performs actions.
How does vCISO for AI support compliance?
It can help review AI use against relevant requirements, policies and frameworks such as GDPR, HIPAA, PCI-DSS, SOC 2, ISO alignment and sector-specific obligations.
Does AI governance slow innovation down?
Good governance should support adoption by creating clearer rules, controls and accountability. It helps organisations scale AI with more confidence rather than blocking progress.
Can your AI systems scale with trust?
Book an Executive AI Acceleration Session to explore the security, governance and compliance controls needed to deploy AI, LLMs and automation safely across your organisation.