COURSE

Securing LLM Applications in Banking

Course

Large language models are transforming banking, from customer-facing chatbots to financial copilots, but they also introduce security risks that require specialized defenses. This LLM security training course explores how to protect LLM applications and retrieval-augmented generation (RAG) pipelines against threats such as prompt injection, cross-tenant data leakage, and excessive agency while addressing banking-specific risk and compliance requirements.

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2

H

M
Time

Intermediate

i
Designed for learners who have no prior work experience in IT or Cybersecurity, but are interested in starting a career in this exciting field.
Designed for learners with prior cybersecurity work experience who are interested in advancing their career or expanding their skillset.
Designed for learners with a solid grasp of foundational IT and cybersecurity concepts who are interested in pursuing an entry-level security role.
Experience Level

Enrollees

2400

XP

2

i

Earn qualifying credits for certification renewal with completion certificates provided for submission.
CEU's

Learners at 96% of Fortune 1000 companies trust Cybrary

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Skills you'll gain

Course Outline

1
Module 1: The LLM Attack Surface in Banking
H
30
Min
1.1 Where Banks Deploy Language Models and What Each Deployment Risks, 1.2 Prompt Injection, Jailbreaks, and Guardrail Evasion, 1.3 Sensitive Data Leakage and the Confidentiality Problem
1
Module 2: Retrieval, Data, and Access Control
H
30
Min
2.1 Retrieval-Augmented Generation and Document-Level Access Control, 2.2 Preventing Cross-Customer and Cross-Tenant Exposure, 2.3 Indirect Injection Through Ingested Documents
1
Module 3: Output, Agency, and Accountability
H
30
Min
3.1 Insecure Output Handling and Downstream Impact, 3.2 Excessive Agency — When an Assistant Can Move Money, 3.3 Hallucination as a Compliance and Liability Risk
1
Module 4: Governing LLMs in a Regulated Environment
H
30
Min
4.1 Guardrails, Human Review, and Defense in Depth, 4.2 Logging, Auditability, and Model Risk Management, 4.3 Red-Teaming, Evaluation, and Third-Party Model Due Diligence
Module 1: Securing LLM Applications in Banking - The LLM Attack Surface in Banking
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Module 1: Introduction
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5
Min
Module 2: Securing LLM Applications in Banking - Retrieval, Data, and Access Control
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Module 1: Introduction
1
Hr
5
Min
Module 3: Securing LLM Applications in Banking - Output, Agency, and Accountability
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Module 1: Introduction
1
Hr
5
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Module 4: Securing LLM Applications in Banking - Governing LLMs in a Regulated Environment
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Module 1: Introduction
1
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5
Min
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Course Description

Banks are increasingly exploring LLM-powered applications to improve customer experiences, support employees, and streamline financial workflows. But integrating these systems into sensitive financial environments introduces risks involving customer data, application permissions, model behavior, and regulatory compliance. Securing these applications requires controls that account for both the unique challenges of LLMs and the expectations of the financial services industry.

Securing LLM Applications in Banking examines how to defend customer chatbots, RAG pipelines, and financial copilots against common AI security threats. You’ll explore risks such as prompt injection, cross-tenant data leakage, and excessive agency, along with the importance of aligning security controls with model risk management practices and regulatory expectations. The course provides a foundation for understanding how to approach LLM security in banking environments while protecting sensitive information and supporting responsible AI adoption.

Start learning today.

Train Your Team

Cybrary’s expert-led cybersecurity courses help your team remediate skill gaps and get up-to-date on certifications. Utilize Cybrary to stay ahead of emerging threats and provide team members with clarity on how to learn, grow, and advance their careers within your organization.

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Included in a Path

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Instructors

Raghu Bala
Cybrary Instructor
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Frequently Asked Questions

Who is this course for?

This course is designed for cybersecurity professionals, AI and ML practitioners, application security engineers, financial technology teams, and risk and compliance professionals working with or securing AI applications in banking. It’s also valuable for professionals responsible for AI governance, model risk management, or protecting sensitive financial and customer data.

Why should I complete this course?

LLM applications in banking can expose organizations to risks that traditional application security controls may not fully address. This course helps you understand how to defend AI-powered applications against threats such as prompt injection, unauthorized data exposure, and excessive permissions while aligning security practices with model risk management and regulatory expectations.

What skills does this course develop?

By the end of this course, learners will be able to:

  • Explain the large language model attack surface as it applies to regulated banking applications.
  • Analyze prompt injection, jailbreak, and data-leakage risks in customer-facing and internal assistants.
  • Design retrieval and access controls that prevent cross-customer and cross-tenant data exposure.
  • Implement guardrails, human review, and logging that satisfy model risk management and audit expectations.
  • Evaluate third-party models and assess whether a banking language model deployment is ready for production.
Learn

Learn core concepts and get hands-on with key skills.

Practice

Exercise your problem-solving and creative thinking skills with security-centric puzzles

Prove

Assess your knowledge and skills to identify areas for improvement and measure your growth

Get Hands-on Learning

Put your skills to the test in virtual labs, challenges, and simulated environments.

Measure Your Progress

Track your skills development from lesson to lesson using the Cybrary Skills Tracker.

Connect with the Community

Connect with peers and mentors through our supportive community of cybersecurity professionals.

Success from Our Learners

"Cybrary really helped me get up to speed and acquire a baseline level of technical knowledge. It offers a far more comprehensive approach than just learning from a book. It actually shows you how to apply cybersecurity processes in a hands-on way"

Don Gates

Principal Systems Engineer/SAIC

"Cybrary’s SOC Analyst career path was the difference maker, and was instrumental in me landing my new job. I was able to show the employer that I had the right knowledge and the hands-on skills to execute the role."

Cory

Cybersecurity analyst/

"I was able to earn my CISSP certification within 60 days of signing up for Cybrary Insider Pro and got hired as a Security Analyst conducting security assessments and penetration testing within 120 days. This certainly wouldn’t have been possible without the support of the Cybrary mentor community."

Mike

Security Engineer and Pentester/

"Cybrary really helped me get up to speed and acquire a baseline level of technical knowledge. It offers a far more comprehensive approach than just learning from a book. It actually shows you how to apply cybersecurity processes in a hands-on way"

Don Gates

Principal Systems Engineer/SAIC

"Cybrary’s SOC Analyst career path was the difference maker, and was instrumental in me landing my new job. I was able to show the employer that I had the right knowledge and the hands-on skills to execute the role."

Cory

Cybersecurity analyst/

"I was able to earn my CISSP certification within 60 days of signing up for Cybrary Insider Pro and got hired as a Security Analyst conducting security assessments and penetration testing within 120 days. This certainly wouldn’t have been possible without the support of the Cybrary mentor community."

Mike

Security Engineer and Pentester/

"Becoming a Cybrary Insider Pro was a total game changer. Cybrary was instrumental in helping me break into cybersecurity, despite having no prior IT experience or security-related degree. Their career paths gave me clear direction, the instructors had real-world experience, and the virtual labs let me gain hands-on skills I could confidently put on my resume and speak to in interviews."

Cassandra

Information Security Analyst/Cisco Systems

"I was able to earn both my Security+ and CySA+ in two months. I give all the credit to Cybrary. I’m also proud to announce I recently accepted a job as a Cyber Systems Engineer at BDO... I always try to debunk the idea that you can't get a job without experience or a degree."

Casey

Cyber Systems Engineer/BDO

"Cybrary has helped me improve my hands-on skills and pass my toughest certification exams, enabling me to achieve 13 advanced certifications and successfully launch my own business. I love the practice tests for certification exams, especially, and appreciate the wide-ranging training options that let me find the best fit for my goals"

Angel

Founder,/ IntellChromatics.

Begin Cybrary's Securing LLM Applications in Banking Online Today.

Build your LLM security training. Enroll in Cybrary’s Securing LLM Applications in Banking course to explore practical defenses for LLM-powered banking applications and understand how to address AI risks alongside model risk management and regulatory expectations.

Enroll Today
https://app.cybrary.it/browse/course/securing-llm-applications-in-banking
courses

Securing LLM Applications in Banking

Large language models are transforming banking, from customer-facing chatbots to financial copilots, but they also introduce security risks that require specialized defenses. This LLM security training course explores how to protect LLM applications and retrieval-augmented generation (RAG) pipelines against threats such as prompt injection, cross-tenant data leakage, and excessive agency while addressing banking-specific risk and compliance requirements.

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Start CourseSubscribe for UpdatesNeed to train your team? Learn more
Start Course for FreeNeed to train your team? Learn more
2
H 
M
Time
Intermediate
difficulty
2
ceu/cpe

Course Content

Course Description

Banks are increasingly exploring LLM-powered applications to improve customer experiences, support employees, and streamline financial workflows. But integrating these systems into sensitive financial environments introduces risks involving customer data, application permissions, model behavior, and regulatory compliance. Securing these applications requires controls that account for both the unique challenges of LLMs and the expectations of the financial services industry.

Securing LLM Applications in Banking examines how to defend customer chatbots, RAG pipelines, and financial copilots against common AI security threats. You’ll explore risks such as prompt injection, cross-tenant data leakage, and excessive agency, along with the importance of aligning security controls with model risk management practices and regulatory expectations. The course provides a foundation for understanding how to approach LLM security in banking environments while protecting sensitive information and supporting responsible AI adoption.

Start learning today.

This course is part of a Career Path:
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Certification Body
Certificate of Completion

Complete this entire course to earn a Securing LLM Applications in Banking Certificate of Completion

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Purpose Statement

Cybrary Career Paths are comprehensive training programs designed to prepare you for the most in-demand roles in the cybersecurity workforce. Each path follows a Learn, Practice, Prove model and includes different activity types aligned to key topics within the path’s security domain. As you progress through the path, your progress will be measured in real time using Experience Points (XP) that serve as a comprehensive capability score for each topic. Upon completing all of the requirements for a path, you will be rewarded with a shareable digital badge via Credly.
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Overview

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Frequently Asked Questions
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What Will I Learn?
Foundations
Focused on the core IT competencies that cybersecurity professionals need to succeed in any career path.
Defensive Security
Focused on trying to find the bad guys. Topics such as threat intelligence, threat hunting, network monitoring, incident response. Defensive security is a reactive measure taken once a vulnerability is found through prevention, detection, and response.
Engineering and Operations
Focused on building and operating information systems.
Governance, Risk, and Compliance
Focused on the core IT competencies that cybersecurity professionals need to succeed in any career path.
Leadership and Management
Focused on program design and oversight. Covers project and program management.
Offensive Security
Focused on validating security controls by trying to break them (i.e. penetration testing or ethical hacking). Topics such as Kali Linux, metasploit, scanning, and privilege escalation. Offensive security seeks out the problem or vulnerability through ethical hacking and finds a solution to disable the operation.
Offensive Security
Focused on the core IT competencies that cybersecurity professionals need to succeed in any career path.
Path Outline

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Course Outline

What Our Learners Are Saying

Join 3 million+ users, including 96% of Fortune 1000 companies who use our platform to upskill their teams. See what the buzz is about - start learning for free!

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