Get in touch to see how we can power your team’s growth
AI: Balancing Speed & Safety
Adopt AI at speed – without compromising security
In the race to scale AI, moving fast without safeguards can expose your organisation to cyber threats, compliance failures, reputational damage, and stalled transformation.
Our vendor-agnostic training solution embeds the critical skills to innovate responsibly – combining AI security and governance to unlock sustainable success.
Why speed needs safety
95% of enterprise AI pilot programs stall and never progress to scaled adoption
MIT [4]
Responsible AI is a business-wide imperative
From HR to Engineering, every function must become AI-ready to move beyond fragmented, short-lived pilots – to unlock scalable, long-term value.
Our learning pathways equip cross-functional teams with the professional competencies and confidence to operationalise AI – aligned to their role, risk profile, and readiness.
Tailored AI security training for every role
Combine expert-led courses, immersive hands-on labs, and self-paced content to turn your AI initiatives into catalysts for growth, resilience, and a culture of responsible innovation.
Business & functional professionals
Make smarter decisions, safely
Drive efficiency, personalisation, and strategic decision-making with AI, ensuring compliance, transparency, and ethical use.
Technical and AI professionals
Deploy AI securely from the ground up
Build, deploy, and optimise AI systems securely, with governance and safety embedded from the start.
Security & governance professionals
Embed trust and reduce risk
Align AI adoption with regulatory frameworks, mitigate risk, and protect organisational trust.
Why AI skills matter
“AI transformations can often fail to deliver, not because of the technology, but because people don’t trust it, don’t understand it, or fear losing control.
What’s needed is confidence in AI, clear governance, proportionate security, and upskilling at every level to ensure AI is used wisely, safely, and with purpose.”
Richard Beck
Cyber Portfolio Director, QA
Safety is non-negotiable
Overcome technical debt and accelerate transformation by investing in your human capital from day one.
of SMEs lack adequate safeguards for the secure deployment of AI technologies - WEF [1]
of enterprise AI failures stem from lack of cross-functional co-ordination - RAND [2]
of all cyberattacks and data leaks will involve generative AI by 2027 - Gartner [3]
Customisable AI learning pathways
Our tailored-specific AI pathways provide routes into AI mastery across your organisation. Find out more below:
AI for Business: Strategy, Governance & Real-World Application
Hands-on training empowering non-technical teams to use AI safely, strategically, and effectively.
1. Generative AI Essentials
Gain the skills you need to make the most of generative AI through real-world applications – and how to use it in a safe and ethical way.
2. Certified AI Governance Professional
Learn how to develop, integrate, and deploy trustworthy AI systems in line with emerging laws and policies.
3. AI Safety Risk Management Simulation
This gamified simulation prepares you with the skills needed to navigate the complex landscape of AI risk management.
4. Mastering Prompting for your Role
How to craft and implement gen AI prompt strategies, tailored for your role.
5. Advanced in AI Auditor
Gain essential knowledge to assess the design, governance, and operational risks associated with AI systems.
AI Engineering & Security: Building, Breaking & Defending LLMs
Hands-on training for engineers to securely design, deploy, and protect generative AI systems.
1. Generative AI Essentials
Gain the skills you need to make the most of generative AI through real-world applications – and how to use it in a safe and ethical way.
2. Certified AI Security Engineer
Learn how attackers exploit weaknesses and gain hands-on experience with proven defence strategies and security for AI.
3. AI Threat Modelling Certificate
Empowering AI engineers, developers, and security professionals to design secure AI systems by mastering AI-specific threat modelling.
4. Text Analysis and LLMs with Python
An in-depth exploration of Large Language Models and their applications, covering key Generative AI skills expected of AI Engineers.
5. Building AI Agents with Python
Using python to design and develop intelligent single and multi-agent systems, exploring memory, tool integration, reasoning, planning, and ethical governance.
6. Mastering LLM Security Offensive & Defensive Tactics
Explore the security challenges introduced by Large Language Models in modern systems through AI labs and real-world threat simulations.
7. OWASP Top 10 LLM API Challenge
Explore the latest risks, vulnerabilities, and mitigations for developing and securing generative AI and large language model applications.
Top AI Security Courses
Events and articles
Let's talk
Start your digital transformation journey today
Contact us today via the form or give us a call
