As AI drives unprecedented innovation across industries, it also introduces new security vulnerabilities and workforce challenges. At Robust IT Training, we understand that equipping your teams with the right skills is key to staying ahead of these risks. In this guide, we unpack recent findings—from the UN’s gendered job-displacement report to the UK government’s cyber-warning and the 2025 Thales Data Threat Report—and show how our tailored training solutions can help your organisation build resilience.
1. Understanding the Gendered Impact on Jobs
Key Finding: A UN International Labour Organization report highlights that 9.6% of roles traditionally held by women are poised for AI-driven transformation—nearly triple the 3.5% figure for male-dominated roles.
Why It Matters: Sectors such as administration, customer service and retail—where women are over-represented—face significant AI disruption. Without targeted interventions, this skills gap could worsen inequality and create talent shortages.
Action Steps & Training Links:
-
Conduct a gender-aware workforce audit. Understand which roles are at high risk of automation and map skills gaps.
-
Upskill with our Artificial Intelligence and Machine Learning Package. Cover fundamentals of AI, model development and governance.
-
Build AI-adjacent competencies. Enrol staff on Introduction to Python and ChatGPT and AI Business Fundamentals to empower roles in data annotation, prompt engineering and AI ethics.
-
Offer flexible learning pathways. Our modular courses can be taken part-time alongside work, helping you retain institutional knowledge and maintain morale.
2. Heeding the Cyberattack Warning
Insight: Senior minister Pat McFadden has cautioned that rapid AI adoption will spur more frequent and sophisticated cyberattacks on UK organisations.
Threat Profile:
-
Automated phishing and social engineering: AI can craft hyper-personalised scams at scale.
-
Adversarial AI attacks: Data poisoning and model evasion techniques target AI pipelines.
Action Steps & Training Links:
-
Integrate AI into your threat modelling. Update risk assessments to simulate automated attack vectors.
-
Adopt an AI-security baseline. Align with NCSC guidelines and ISO/IEC 27001 controls for AI assets.
-
Invest in red-teaming expertise. Our Beginner Cyber Security Package delivers foundational knowledge, while vendor-specific courses such as the Certified Ethical Hacker dive deeper into offensive testing.
3. Preparing for GenAI Security Challenges
Stat: The 2025 Thales Data Threat Report finds that 70% of organisations view the fast-moving GenAI ecosystem as their top security risk—and 73% are allocating fresh budgets to AI-specific security tools.
Implications: General-purpose AI models introduce new data-leak and compliance risks. Traditional tools alone aren’t enough.
Action Steps & Training Links:
-
Catalogue your AI landscape. Maintain an inventory of in-house and third-party AI services.
-
Deploy specialist AI-security solutions. Look for model-monitoring, data-leak prevention and access governance capabilities—then train your staff on tools like the Certified Cloud Security Engineer and AWS Security Specialty.
-
Allocate budget with precision. Focus on protecting customer data, IP and regulated information.
4. Building a Holistic AI Risk Management Framework
Managing AI risk requires cohesive governance across people, processes and technology.
-
Establish an AI Steering Committee. Include IT, legal, HR and risk leaders to align AI initiatives with strategy and appetite.
-
Define clear policies and standards. Draft an AI security policy that covers model development, procurement, vendor management and retirement. Supplement with ethical AI guidelines.
-
Embed continuous training.
-
Run phishing simulations and AI-security drills.
-
Offer micro-learning modules on secure AI best practices via our Learning Paths portal.
-
-
Monitor and report. Integrate AI-security metrics into regular risk dashboards and report progress to leadership and regulators. Consider certification in CISA or CISM to formalise your maturity.
5. Collaborating with Government and Industry
The UK government and industry bodies are ramping up public–private collaboration on AI security.
-
Engage with the National AI Lab and NCSC. Participate in pilot programmes and threat-sharing communities.
-
Shape emerging standards. Offer feedback on consultations such as the forthcoming AI Safety Institute guidelines.
-
Leverage funding. Explore Innovate UK grants and tax incentives for projects that enhance AI resilience—speak to our team via Corporate Enquiries to learn more.
Conclusion
AI offers unparalleled innovation—but also significant security and workforce risks. By auditing your talent pool, hardening defences against AI-driven threats, investing in specialised tools and establishing robust governance, your organisation can confidently navigate this evolving landscape. Robust IT Training is here to partner with you every step of the way.
Ready to future-proof your teams? Contact us today on our support tickets page or head to our knowledge base to discuss tailored training packages.