AI Risk Management & Security

Learn how to manage AI risks, strengthen security, and ensure ethical, compliant AI systems for modern business and enterprise environments.

ai risk management & security lsbuk

Format

Online

Intakes

Flexible

Duration

3 Months

Location

Self Paced

Fees

ÂŁ590

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Format

Campus

Intakes

May, June 2026

Duration

3 Days

Location

London

Fees

ÂŁ1,900

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Programme Overview

This course provides a structured and practical understanding of risk management and security in AI-enabled systems. It is designed for leaders, risk professionals, cybersecurity specialists, and AI practitioners who are responsible for ensuring that AI systems are secure, reliable, compliant, and trustworthy.

The programme focuses on identifying, assessing, and mitigating AI-related risks across the full lifecycle—from data and model development to deployment and ongoing monitoring.

Benefits and Career Impact

Clear Understanding of AI-Specific Risks

Gain the ability to identify and assess risks unique to AI systems, beyond traditional IT and cybersecurity risks.

Stronger Risk & Security Leadership Skills

Develop confidence in overseeing AI security, risk mitigation, and control frameworks.

Improved Decision-Making

Make informed, balanced decisions that consider innovation, security, compliance, and business value.

Professional Credibility & Influence

Communicate effectively with executives, regulators, auditors, and technical teams using a shared risk and security language.

Future-Ready Skillset

Build expertise in one of the fastest-growing and most in-demand areas of AI and digital transformation.

Career Advancement Opportunities

Prepare for senior roles in AI risk, cybersecurity, compliance, governance, and enterprise risk management.

Reduced AI-Related Risk Exposure

Identify, assess, and mitigate data, model, security, and operational risks before they escalate.

Stronger Security for AI Systems

Protect AI models, data, and infrastructure from emerging threats such as adversarial attacks and misuse.

Improved Compliance & Audit Readiness

Align AI systems with regulatory, legal, and governance expectations.

Greater Trust in AI Outcomes

Improve reliability, transparency, and explainability of AI-driven decisions.

Resilient & Sustainable AI Deployment

Ensure AI systems remain secure, monitored, and effective throughout their lifecycle.

Better Alignment Between Risk, Security & Strategy

Integrate AI risk management into enterprise risk and business strategy frameworks.

Learning Outcomes

  • Understand AI Risk Fundamentals

  • Classify and Evaluate AI Risks

  • Manage Data-Related Risks

  • Apply Model Risk Management Principles

  • Identify and Mitigate AI Security Threats

  • Strengthen Operational Resilience

  • Apply Security Controls and Best Practices

  • Conduct Risk Assessment and Auditing

  • Design a Trusted AI Risk Framework

Who Should Join?

Leaders who need to understand AI-related risks and ensure secure, responsible AI adoption across the organization.

Individuals responsible for identifying, assessing, and mitigating risks, including those arising from AI technologies.

Experts focused on protecting systems, data, and AI infrastructure from cyber threats and vulnerabilities.

Data scientists, AI engineers, and analysts who design or manage AI systems and need to address security and risk considerations.

Professionals responsible for regulatory compliance, data protection, and ethical AI implementation.

Auditors who evaluate risk controls, governance frameworks, and the integrity of AI systems.

Managers leading AI or digital initiatives who need to manage risks and ensure secure implementation.

lbs staff
⟶ London School of Business

Overall Impact

The Certificate in AI Risk Management & Security empowers individuals to lead with confidence while strengthening organisational performance, resilience, and long-term success.

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Programme Structure

• Why AI introduces new risk categories

• AI vs traditional IT risk

• AI lifecycle and risk points

• Real-world AI failures and lessons learned

• Strategic and business risks

• Data and privacy risks

• Model and algorithmic risks

• Operational and reputational risks

• Legal and regulatory risks

• Data quality, integrity, and poisoning

• Privacy and personal data protection

• Data access controls

• Secure data pipelines

• Model bias and fairness

• Explainability and transparency

• Model drift and performance degradation

• Validation, testing, and monitoring

• Adversarial attacks

• Model inversion and extraction

• Prompt injection and misuse of generative AI

• Insider threats

• Responsible AI principles

• AI governance models

• Regulatory expectations (high-level overview)

• Accountability and oversight structures

• Deployment and integration risks

• Third-party and vendor risk

• Business continuity and incident response

• AI system resilience and fail-safes

• Secure-by-design AI

• Access management and controls

• Monitoring and logging

• Human-in-the-loop safeguards

• AI risk assessment methods

• Internal audits and controls

• Assurance and reporting

• Continuous risk monitoring

• Integrating AI risk into enterprise risk management (ERM)

• Aligning risk, security, and business strategy

• Maturity models and continuous improvement

• Executive dashboards and KPIs

Certification

Participants receive a Certificate in AI Risk Management & Security from London School of Business, UK.

What Our Students Think About Us.

I work in IT, but AI risk was completely new for me. I joined this course out of curiosity, but it actually opened my eyes to how AI systems can fail or be misused. I started looking at tools and systems at my workplace differently now. Even in small things like data handling, I’m more careful. Honestly, I didn’t expect that shift. Thanks to LSB, the faculty made complex topics feel understandable.

50JoĂŁo, Brazil

I went for the self-paced online option because my schedule is unpredictable. What I liked is I could go back to topics like AI security and risk again and again until it made sense. Some parts were technical, but having that flexibility helped a lot. I’ve started applying basic risk thinking in my role now, especially when dealing with data systems. Appreciate LSB, even online, the support felt consistent.

48Valentina, Australia

I didn’t come from an AI background at all, so I was a bit nervous at first. But the way the course is structured helped me ease into it. I started understanding concepts like bias, security risks, and compliance in AI systems. It actually made me more aware of how AI is used in everyday business now. Big thanks to London School of Business, very supportive teaching approach.

49Nikau, New Zealand

The LSB Experience

skill 1b

Expert Trainers

Passionate specialists who keep up to date with the latest trends in their field.

medal 1b

Quality Delivery

Trainers have assessed annually on the quality of their delivery and delegate engagement.

education 1b

Practical Training

Theory and practical based training to take back to the office which leads you more.

classroom 1b

Small Class Sizes

No more than 15 people to ensure you get the most from our trainers.

Join the League of Extraordinary Leaders

As a participant in the Certificate in AI Risk Management & Security, you will develop the strategic knowledge and leadership capabilities required to identify, assess, and mitigate AI-related risks in an increasingly complex digital environment. This programme equips you to implement robust security, governance, and compliance frameworks, enabling responsible AI adoption and confident executive decision-making.

Apply Now and Be the Change

Unlock your leadership potential and propel your career to new heights. Please contact us on +44 (0)20 3305 8124 or send us an email to exed@lsbuk.com to discuss your requirements and obtain an application form.

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