Get in Touch

Salt Lake City, UT – Regus at Main Street

222 S Main Street, 5th Floor, Salt Lake City, United States, 84101

The venue sits on South Main Street in the heart of downtown Salt Lake City’s business district, easily accessible by car via I‑15 and I‑80, with parking available in the building garage (852 spaces) and nearby public lots. From Salt Lake City International Airport (SLC), about 7 miles northwest, a taxi or rideshare typically takes 10–15 minutes via I‑80 West and 600 W. Public transit is excellent: the TRAX light rail stops at Gallivan Plaza or Salt Lake Central Station within a 5–10 minute walk, and multiple bus routes pass along Main and State Streets. The central, walkable location places cafés, hotels, cultural venues, and government offices within easy reach.
NobleProg Training Place, City Provo, UT - Regus - Downtown Provo

Provo, UT - Regus - Downtown Provo

180 North University Avenue, Provo, United States, 84601

The venue is conveniently located with easy access by car via I‑15, and public parking is available both on the street and in nearby garages. For those traveling by air, Provo Airport is just a 15-minute drive away. Additionally, the venue is only steps away from several local bus routes, making it easily reachable by public transit.
NobleProg Training Place, City Salt Lake City, UT - Regus at South Main Street Downtown

Salt Lake City, UT - Regus at South Main Street Downtown

222 South Main Street Downtown, Salt Lake City, United States, 84101

The venue is conveniently located and easy to reach by various means of transportation. Those arriving by car can access it easily via I‑15 and I‑80, with several public parking garages and ample street parking available nearby. For travelers flying in, Salt Lake City International Airport (SLC) is just a 10-minute drive from the location. Additionally, the venue is situated just steps from major bus routes and is within walking distance of the TRAX light rail system.

75 S West Temple, Salt Lake City, UT

75 S West Temple, Salt Lake City, United States, 84101

The venue is easily accessible by car via Interstates I‑15 and I‑80, with convenient on-site parking available for a fee, as well as nearby parking garages. For those arriving by air, Salt Lake City International Airport (SLC) is located just 6 miles away and offers direct transportation options to the downtown area. Visitors using public transit can reach the location on foot from the nearby City Center TRAX station, which connects with major bus lines and downtown destinations.

Explore Our Courses

ISACA Advanced in AI Security Management (AAISM)

 21 Hours

AAISM is an advanced framework for assessing, governing, and managing security risks in artificial intelligence systems.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to implement effective security controls and governance practices for enterprise AI environments.

At the conclusion of this program, participants will be prepared to:

  • Evaluate AI security risks using industry-recognized methodologies.
  • Implement governance models for responsible AI deployment.
  • Align AI security policies with organizational goals and regulatory expectations.
  • Enhance resilience and accountability within AI-driven operations.

Format of the Course

  • Facilitated lectures supported by expert analysis.
  • Practical workshops and assessment-based activities.
  • Applied exercises using real-world AI governance scenarios.

Course Customization Options

  • For tailored training aligned to your organizational AI strategy, please contact us to customize the course.
Read more...

Introduction to AI Trust, Risk, and Security Management (AI TRiSM)

 21 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to understand and implement AI TRiSM in their organizations.

By the end of this training, participants will be able to:

  • Grasp the key concepts and importance of AI trust, risk, and security management.
  • Identify and mitigate risks associated with AI systems.
  • Implement security best practices for AI.
  • Understand regulatory compliance and ethical considerations for AI.
  • Develop strategies for effective AI governance and management.
Read more...

Safe & Secure Agentic AI: Governance, Identity, and Red-Teaming

 21 Hours

This course covers governance, identity management, and adversarial testing for agentic AI systems, focusing on enterprise-safe deployment patterns and practical red-teaming techniques.

This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to design, secure, and evaluate agent-based AI systems in production environments.

By the end of this training, participants will be able to:

  • Define governance models and policies for safe agentic AI deployments.
  • Design non-human identity and authentication flows for agents with least-privilege access.
  • Implement access controls, audit trails, and observability tailored to autonomous agents.
  • Plan and execute red-team exercises to discover misuses, escalation paths, and data exfiltration risks.
  • Mitigate common threats to agentic systems through policy, engineering controls, and monitoring.

Format of the Course

  • Interactive lectures and threat-modeling workshops.
  • Hands-on labs: identity provisioning, policy enforcement, and adversary simulation.
  • Red-team/blue-team exercises and end-of-course assessment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Cybersecurity in AI Systems

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at intermediate-level AI and cybersecurity professionals who wish to understand and address the security vulnerabilities specific to AI models and systems, particularly in highly regulated industries such as finance, data governance, and consulting.

By the end of this training, participants will be able to:

  • Understand the types of adversarial attacks targeting AI systems and methods to defend against them.
  • Implement model hardening techniques to secure machine learning pipelines.
  • Ensure data security and integrity in machine learning models.
  • Navigate regulatory compliance requirements related to AI security.
Read more...

Red Teaming AI Systems: Offensive Security for ML Models

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at advanced-level security professionals and ML specialists who wish to simulate attacks on AI systems, uncover vulnerabilities, and enhance the robustness of deployed AI models.

By the end of this training, participants will be able to:

  • Simulate real-world threats to machine learning models.
  • Generate adversarial examples to test model robustness.
  • Assess the attack surface of AI APIs and pipelines.
  • Design red teaming strategies for AI deployment environments.
Read more...

Security and Privacy in TinyML Applications

 21 Hours

TinyML is an approach to deploying machine learning models on low-power, resource-constrained devices operating at the network edge.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to secure TinyML pipelines and implement privacy-preserving techniques in edge AI applications.

At the conclusion of this course, participants will be able to:

  • Identify security risks unique to on-device TinyML inference.
  • Implement privacy-preserving mechanisms for edge AI deployments.
  • Harden TinyML models and embedded systems against adversarial threats.
  • Apply best practices for secure data handling in constrained environments.

Format of the Course

  • Engaging lectures supported by expert-led discussions.
  • Practical exercises emphasizing real-world threat scenarios.
  • Hands-on implementation using embedded security and TinyML tooling.

Course Customization Options

  • Organizations may request a tailored version of this training to align with their specific security and compliance needs.
Read more...

Securing Edge AI and Embedded Intelligence

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at intermediate-level engineers and security professionals who wish to secure AI models deployed at the edge against threats such as tampering, data leakage, adversarial inputs, and physical attacks.

By the end of this training, participants will be able to:

  • Identify and assess security risks in edge AI deployments.
  • Apply tamper resistance and encrypted inference techniques.
  • Harden edge-deployed models and secure data pipelines.
  • Implement threat mitigation strategies specific to embedded and constrained systems.
Read more...

Privacy-Preserving Machine Learning

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at advanced-level professionals who wish to implement and evaluate techniques such as federated learning, secure multiparty computation, homomorphic encryption, and differential privacy in real-world machine learning pipelines.

By the end of this training, participants will be able to:

  • Understand and compare key privacy-preserving techniques in ML.
  • Implement federated learning systems using open-source frameworks.
  • Apply differential privacy for safe data sharing and model training.
  • Use encryption and secure computation techniques to protect model inputs and outputs.
Read more...

AI Risk Management and Security in the Public Sector

 7 Hours

Artificial Intelligence (AI) introduces new dimensions of operational risk, governance challenges, and cybersecurity exposure for government agencies and departments.

This instructor-led, live training (online or onsite) is aimed at public sector IT and risk professionals with limited prior experience in AI who wish to understand how to evaluate, monitor, and secure AI systems within a government or regulatory context.

By the end of this training, participants will be able to:

  • Interpret key risk concepts related to AI systems, including bias, unpredictability, and model drift.
  • Apply AI-specific governance and auditing frameworks such as NIST AI RMF and ISO/IEC 42001.
  • Recognize cybersecurity threats targeting AI models and data pipelines.
  • Establish cross-departmental risk management plans and policy alignment for AI deployment.

Format of the Course

  • Interactive lecture and discussion of public sector use cases.
  • AI governance framework exercises and policy mapping.
  • Scenario-based threat modeling and risk evaluation.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

AI Governance, Compliance, and Security for Enterprise Leaders

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at intermediate-level enterprise leaders who wish to understand how to govern and secure AI systems responsibly and in compliance with emerging global frameworks such as the EU AI Act, GDPR, ISO/IEC 42001, and the U.S. Executive Order on AI.

By the end of this training, participants will be able to:

  • Understand the legal, ethical, and regulatory risks of using AI across departments.
  • Interpret and apply major AI governance frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001).
  • Establish security, auditing, and oversight policies for AI deployment in the enterprise.
  • Develop procurement and usage guidelines for third-party and in-house AI systems.
Read more...

Building Secure and Responsible LLM Applications

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at intermediate-level to advanced-level AI developers, architects, and product managers who wish to identify and mitigate risks associated with LLM-powered applications, including prompt injection, data leakage, and unfiltered output, while incorporating security controls like input validation, human-in-the-loop oversight, and output guardrails.

By the end of this training, participants will be able to:

  • Understand the core vulnerabilities of LLM-based systems.
  • Apply secure design principles to LLM app architecture.
  • Use tools such as Guardrails AI and LangChain for validation, filtering, and safety.
  • Integrate techniques like sandboxing, red teaming, and human-in-the-loop review into production-grade pipelines.
Read more...

Securing AI Models: Threats, Attacks, and Defenses

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at intermediate-level machine learning and cybersecurity professionals who wish to understand and mitigate emerging threats against AI models, using both conceptual frameworks and hands-on defenses like robust training and differential privacy.

By the end of this training, participants will be able to:

  • Identify and classify AI-specific threats such as adversarial attacks, inversion, and poisoning.
  • Use tools like the Adversarial Robustness Toolbox (ART) to simulate attacks and test models.
  • Apply practical defenses including adversarial training, noise injection, and privacy-preserving techniques.
  • Design threat-aware model evaluation strategies in production environments.
Read more...

Introduction to AI Security and Risk Management

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at beginner-level IT security, risk, and compliance professionals who wish to understand foundational AI security concepts, threat vectors, and global frameworks such as NIST AI RMF and ISO/IEC 42001.

By the end of this training, participants will be able to:

  • Understand the unique security risks introduced by AI systems.
  • Identify threat vectors such as adversarial attacks, data poisoning, and model inversion.
  • Apply foundational governance models like the NIST AI Risk Management Framework.
  • Align AI use with emerging standards, compliance guidelines, and ethical principles.
Read more...

OWASP GenAI Security

 14 Hours

Based on the latest OWASP GenAI Security Project guidance, participants will learn to identify, assess, and mitigate AI-specific threats through hands-on exercises and real-world scenarios.

Read more...

EXO Security and Governance: Offline Model Management

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at security engineers and compliance officers who wish to harden EXO deployments, control model access, and govern AI workloads running entirely on-premise.

Read more...

Last Updated:

Testimonials (2)

I really enjoyed learning about AI attacks and the tools out there to begin practicing and actively using for security testing. I took a lot of knowledge away which I didn't have at the beginning and the course met what I hoped it would be. My favorite part shown from the training was Comet Browser and was amazed at what it could do. Definitely something will be looking into more. Overall it was a great course and enjoyed learning all OWASP GenAI Top 10.

Patrick Collins - Optum

Course - OWASP GenAI Security

The profesional knolage and the way how he presented it before us

Miroslav Nachev - PUBLIC COURSE

Course - Cybersecurity in AI Systems

Upcoming Courses

Red Teaming AI Systems: Offensive Security for ML Models

2026-06-15 9:30 am
14 hours
75 S West Temple, Salt Lake City, UT
$ 2703 (Online)
$ 3903 (Classroom)

ISACA Advanced in AI Security Management (AAISM)

2026-06-29 9:30 am
21 hours
75 S West Temple, Salt Lake City, UT
$ 4054 (Online)
$ 5854 (Classroom)

Securing Edge AI and Embedded Intelligence

2026-07-13 9:30 am
14 hours
75 S West Temple, Salt Lake City, UT
$ 2703 (Online)
$ 3903 (Classroom)

ISACA Advanced in AI Security Management (AAISM)

2026-07-27 9:30 am
21 hours
75 S West Temple, Salt Lake City, UT
$ 4054 (Online)
$ 5854 (Classroom)

Other regions in the US

Other Countries

These courses are also available in other countries

Consulting

AI Security Consulting
Online AI Security training in Utah, AI Security training courses in Utah, Weekend AI Security courses in Utah, Evening Secure AI training in Utah, Secure AI instructor-led in Utah, AI Security classes in Utah, Secure AI on-site in Utah, Weekend AI Security training in Utah, Secure AI boot camp in Utah, Secure AI one on one training in Utah, Online Secure AI training in Utah, Secure AI instructor-led in Utah, AI Security private courses in Utah, AI Security instructor in Utah, Secure AI trainer in Utah, Evening Secure AI courses in Utah, Secure AI coaching in Utah