VA, Stafford - Quantico Corporate

800 Corporate Drive, Suite 301, Stafford, united states, 22554

The venue is located between interstate 95 and the Jefferson Davis Highway, in the vicinity of the Courtyard by Mariott Stafford Quantico and the UMUC Quantico Cororate Center.

VA, Fredericksburg - Central Park Corporate Center

1320 Central Park Blvd., Suite 200, Fredericksburg, united states, 22401

The venue is located behind a complex of commercial buildings with the Bank of America just on the corner before the turn leading to the office.

VA, Richmond - Two Paragon Place

Two Paragon Place, 6802 Paragon Place Suite 410, Richmond, United States, 23230

The venue is located in bustling Richmond with Hampton Inn, Embassy Suites and Westin Hotel less than a mile away.

VA, Reston - Sunrise Valley

12020 Sunrise Valley Dr #100, Reston, United States, 20191

The venue is located just behind the NCRA and Reston Plaza Cafe building and just next door to the United Healthcare building.

VA, Reston - Reston Town Center I

11921 Freedom Dr #550, Reston, united states, 20190

The venue is located in the Reston Town Center, near Chico's and the Artinsights Gallery of Film and Contemporary Art.

VA, Richmond - Sun Trust Center Downtown

919 E Main St, Richmond , united states, 23219

The venue is located in the Sun Trust Center on the crossing of E Main Street and S to N 10th Street just opposite of 7 Eleven.

Explore Our Courses

AI Governance, Compliance, and Security for Enterprise Leaders

 14 Hours
This instructor-led, live training in Virginia (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.
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Building Secure and Responsible LLM Applications

 14 Hours
This instructor-led, live training in Virginia (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.
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Securing AI Models: Threats, Attacks, and Defenses

 14 Hours
This instructor-led, live training in Virginia (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.
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Introduction to AI Security and Risk Management

 14 Hours
This instructor-led, live training in Virginia (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...

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Upcoming Courses

Building Secure and Responsible LLM Applications

2025-06-05 9:30 am
14 hours
VA, Reston - Reston Town Center I
$ 2703 (Online)
$ 3703 (Classroom)

AI Governance, Compliance, and Security for Enterprise Leaders

2025-06-19 9:30 am
14 hours
VA, Richmond - Sun Trust Center Downtown
$ 2703 (Online)
$ 3703 (Classroom)

Introduction to AI Security and Risk Management

2025-07-03 9:30 am
14 hours
VA, Stafford - Quantico Corporate
$ 2703 (Online)
$ 3703 (Classroom)

Securing AI Models: Threats, Attacks, and Defenses

2025-07-17 9:30 am
14 hours
VA, Fredericksburg - Central Park Corporate Center
$ 2703 (Online)
$ 3703 (Classroom)

Securing AI Models: Threats, Attacks, and Defenses

2025-07-31 9:30 am
14 hours
VA, Richmond - Two Paragon Place
$ 2703 (Online)
$ 3703 (Classroom)

Introduction to AI Security and Risk Management

2025-08-14 9:30 am
14 hours
VA, Reston - Sunrise Valley
$ 2703 (Online)
$ 3703 (Classroom)

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