ISACA Advanced in AI Security Management (AAISM) Training Course

This instructor-led, live training program delivered via US (remote or on-site) is designed for mid-level corporate executives seeking to master the governance and secure deployment of artificial intelligence systems. The curriculum emphasizes adherence to evolving international standards, including the EU AI Act, GDPR, ISO/IEC 42001, and U.S. Executive Order on AI, ensuring responsible implementation.

Upon completion of this training, participants will be equipped to:

• Assess legal, ethical, and regulatory risks associated with artificial intelligence adoption across various organizational units.
• Interpret and implement key AI governance frameworks, such as the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
• Formulate comprehensive security, auditing, and oversight protocols for enterprise-wide AI deployments.
• Create procurement and usage guidelines for both external vendor and internally developed AI solutions.

The adoption of Artificial Intelligence (AI) by federal agencies and departments creates distinct operational risks, governance complexities, and cybersecurity vulnerabilities that require careful management.

This live, instructor-led program—available via online or onsite delivery—is designed for public sector information technology and risk management professionals with foundational knowledge. The curriculum focuses on the evaluation, oversight, and security of AI systems within the context of U.S. government regulations and operational standards for government operations.

Upon completion of this training, participants will be equipped to:

• Analyze critical risk factors associated with AI technologies, including algorithmic bias, system unpredictability, and data drift.
• Implement established governance and audit structures, such as the NIST AI Risk Management Framework (AI RMF) and ISO/IEC 42001.
• Identify and mitigate cybersecurity threats directed at AI models and underlying data infrastructures.
• Develop interdepartmental risk management strategies and ensure policy compliance for AI system integration.

Course Format

• Interactive instruction featuring analysis of public sector application scenarios.
• Practical exercises in applying AI governance frameworks and mapping policy requirements.
• Scenario-based threat modeling and comprehensive risk assessment techniques.

Customization Options

• Agencies seeking tailored training solutions may contact us to discuss customized arrangements.

This curriculum offers a foundational overview of safeguarding contemporary AI-driven applications, APIs, copilots, and autonomous agents. Attendees examine the distinctions between AI security and conventional web security, analyzing prevalent AI-specific vulnerabilities such as prompt injection, retrieval-augmented generation poisoning, and agent exploitation. The training demonstrates strategies for protecting AI infrastructure through layered defensive measures, including web application firewalls (WAFs), AI gateways, API protection mechanisms, and guardrails. Utilizing practical labs and case studies, participants acquire the expertise to detect AI attack vectors, secure large language model (LLM) applications, and implement robust runtime defenses within production environments for government.

This facilitator-led instructional session, available via US (virtual or in-person), is designed for IT practitioners ranging from beginner to intermediate proficiency who seek to comprehend and deploy AI Trust, Risk, and Security Management (AI TRiSM) frameworks within their respective entities.

Upon completion of this curriculum, learners will be capable of:

• Understanding the fundamental principles and significance of governing trust, risk, and security in artificial intelligence.
• Recognizing potential vulnerabilities linked to AI deployments and applying appropriate mitigation techniques.
• Applying established security protocols specific to AI environments.
• Navigating the regulatory landscape and ethical obligations pertinent to AI adoption for government and public sector applications.
• Formulating robust strategies for overseeing and managing AI initiatives effectively.

This facilitated, live educational program US (delivered remotely or in person) is designed for intermediate to advanced artificial intelligence developers, system architects, and product managers seeking to identify and mitigate risks related to large language model (LLM) applications. The curriculum addresses vulnerabilities such as prompt injection, data exfiltration, and unregulated outputs, while implementing security controls including input validation, human-in-the-loop oversight, and output guardrails for government entities.

Upon completion of this training, participants will be able to:

• Analyze the primary vulnerabilities inherent in LLM-based systems.
• Implement secure design principles within LLM application architecture.
• Utilize frameworks such as Guardrails AI and LangChain for validation, filtering, and safety assurance.
• Incorporate techniques including sandboxing, red teaming, and human-in-the-loop review into production-grade pipelines.

This curriculum equips software engineers with the methodologies required to develop AI-driven solutions that adhere to secure-by-design principles. Learners acquire the skills necessary to safeguard chatbots, copilots, Retrieval-Augmented Generation (RAG) workflows, and autonomous agents against specific cyber risks, including prompt injection, data poisoning, unauthorized tool utilization, credential exposure, and unvalidated model responses. The instruction addresses critical governance areas such as secure prompt architecture, RAG integrity, least-privilege access controls, enforcement guardrails, and adversarial red-team assessments, thereby enabling the deployment of AI capabilities that are robust, dependable, and resilient for government use.

Description:

The Certified Information Systems Auditor (CISA) credential is the globally recognized standard for professionals specializing in information systems auditing and IT risk management. The training program provided by Net Security is a rigorous, exam-oriented curriculum designed to support candidates pursuing this designation. Leveraging extensive experience delivering over 150 CISA courses globally and instructing more than 1,200 delegates, the agency has developed comprehensive in-house materials prioritized around ensuring successful examination outcomes. The instructional approach emphasizes mastery of ISACA auditing concepts through the analysis of question banks released by ISACA over the preceding three years. CISA-certified individuals are highly sought after by major accounting firms, international financial institutions, advisory agencies, and internal audit divisions for their specialized expertise.

While many candidates possess significant experience in IT auditing, success on the CISA examination requires a specific understanding of globally accepted IT assurance frameworks. The exam is notably difficult due to the nuanced distinctions between plausible answers, which test the candidate's depth of knowledge regarding international IT auditing standards. To address these complexities, Net Security employs expert instructors with proven track records in delivering high-quality CISA training worldwide.

The official CISA reference manual addresses all critical concepts, case studies, and questions across the five designated domains. Additionally, trainers provide supplementary resources during the course, including study notes, practice questions, glossaries, instructional videos, review materials, examination strategies, and conceptual mind maps.

Goal:

The primary objective is to facilitate passing the CISA certification examination on the first attempt for government professionals.

Objectives:

• Apply acquired knowledge in practical applications that benefit the organization.
• Conduct audit services in compliance with established IT audit standards.
• Ensure assurance regarding leadership structures, organizational frameworks, and operational processes.
• Verify assurance for the acquisition, development, testing, and implementation of IT assets.
• Demonstrate assurance for IT operations, including service delivery and third-party management.
• Validate organizational security policies, standards, procedures, and controls to safeguard the confidentiality, integrity, and availability of information assets.

Target Audience:

Finance and CPA professionals, IT specialists, internal and external auditors, and information security and risk consulting professionals.

Description:

Note: The revised CISM exam content outline applies to examinations administered beginning on 1 June 2022.

The CISM® certification represents a globally recognized, rigorous credential for Information Security Managers. It provides a foundation for professionals to join a distinguished community dedicated to the continuous evolution of knowledge and expertise in Information Security Management.

This training program delivers comprehensive coverage of the four core CISM domains, emphasizing conceptual mastery and the application of ISACA-published exam questions. The course serves as intensive preparation for the ISACA Certified Information Security Manager (CISM®) Examination, designed to support candidates in achieving certification readiness.

Participants are advised to review the ISACA-published CISM QA&E (Questions, Answers and Explanations) resource as a primary study aid. This material is instrumental in familiarizing candidates with ISACA’s testing methodology and question structure, facilitating the rapid retention of key concepts during instruction.
All faculty members possess extensive experience in delivering CISM curriculum. The program ensures thorough preparation for the certification examination.

Goal:

The primary objective is to assist candidates in passing the CISM examination on their initial attempt.

Objectives:

• Apply acquired knowledge in ways that directly benefit organizational operations
• Develop and sustain an information security governance framework aligned with organizational goals
• Manage information risk to acceptable levels consistent with business needs and regulatory requirements
• Establish and maintain information security architectures encompassing people, processes, and technology
• Incorporate information security obligations into third-party contracts and supplier activities
• Plan, implement, and manage capabilities for the detection, investigation, response to, and recovery from information security incidents to reduce business impact

Target Audience:

• Security professionals with 3-5 years of hands-on experience
• Information security managers or individuals holding management responsibilities
• Information security personnel and assurance providers requiring comprehensive understanding of information security management, including: CISOs, CIOs, CSOs, privacy officers, risk managers, security auditors, compliance staff, business continuity/disaster recovery professionals, and executive or operational managers overseeing assurance functions

NobleProg serves as a certified ISACA COBIT® Training Partner. COBIT® constitutes an established framework designed to facilitate the governance and management of information and technology within enterprises, thereby supporting the attainment of organizational objectives. This program is tailored for government agencies seeking robust IT governance standards.

Description:

Cybersecurity expertise remains critically important as organizations worldwide face persistent digital risks. A significant majority of professionals surveyed by ISACA acknowledge this reality and intend to pursue roles requiring cybersecurity proficiency.
To address this demand, ISACA offers the Cybersecurity Fundamentals Certificate, which provides rigorous education and validation of competencies in this domain, tailored for government.

Objectives:

In response to escalating cyber threats and a global shortage of qualified security personnel, ISACA’s Cybersecurity Fundamentals Certificate program serves as an effective mechanism for rapidly training entry-level staff. This ensures they possess the necessary skills and knowledge to operate effectively within the cybersecurity landscape.

Target Audience:

This certificate program offers one of the most effective pathways for acquiring foundational cybersecurity knowledge and developing essential competencies in this vital field.

This instructor-led, live training delivered in US (online or onsite) is designed for intermediate-level artificial intelligence and cybersecurity professionals seeking to comprehend and mitigate security vulnerabilities inherent to AI models and systems, particularly within highly regulated sectors such as finance, data governance, and consulting. The program provides essential guidance for government agencies and other public sector entities requiring robust frameworks for securing AI deployments.

Upon completion of this training, participants will be equipped to:

• Analyze various adversarial attacks targeting AI systems and apply appropriate defensive methodologies.
• Execute model hardening techniques to enhance the security of machine learning pipelines.
• Safeguard data security and integrity throughout machine learning operations.
• Interpret and adhere to regulatory compliance mandates concerning AI security.

The instructor-led, live session conducted in US (via remote connection or at a physical location) is designed for security engineers and compliance professionals seeking to strengthen EXO configurations, regulate model accessibility, and manage artificial intelligence workloads deployed exclusively within on-premises environments. This training provides essential guidance for government agencies aiming to secure their data infrastructure.

This guided instruction, available via US in online or onsite formats, is designed for entry-level information technology security, risk management, and compliance practitioners seeking to comprehend fundamental artificial intelligence (AI) security principles, potential threat vectors, and international frameworks including the NIST AI Risk Management Framework and ISO/IEC 42001.

Upon completion of this program, participants will be equipped to:

• Comprehend the distinct security vulnerabilities inherent in AI systems.
• Recognize threat vectors including adversarial attacks, data poisoning, and model inversion techniques.
• Implement foundational governance structures such as the NIST AI Risk Management Framework for government applications.
• Ensure AI deployment aligns with evolving standards, regulatory compliance requirements, and ethical guidelines.

US This instructor-led, live training session (available online or onsite) is designed for security and machine learning engineers seeking to identify, test, and mitigate attacks targeting ML models and LLM-powered applications. Tailored specifically for government professionals, the course emphasizes actionable defense strategies aligned with public sector operational needs.

Guided by the most recent OWASP GenAI Security Project directives, attendees will acquire proficiency in identifying, evaluating, and mitigating artificial intelligence-related risks via practical simulations and operational case studies designed for government practitioners.