AI Security for LLM and Agentic Applications Corporate Training
Turn your security team into AI security specialists who can defend LLM and agentic systems.
Give your enterprise teams the security capability to protect LLM and agentic AI systems. Edstellar's AI Security for LLM & Agentic Applications corporate training program helps your security, engineering, and risk teams master prompt injection defense, adversarial testing, and guardrail design. We deliver this hybrid training with hands-on labs, each session customized to your AI stack, with assessments that track real capability across your employees.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build an AI-secure LLM and agentic team
THE EDSTELLAR AI SECURITY CAPABILITY MODEL
Map security readiness
Skill checks reveal how your teams secure LLM apps today, before module one begins.
One security standard
Align everyone on one method: threat model, test, harden, and monitor AI systems.
Practice in hands-on labs
Run injection attacks and guardrail builds in guided labs with instructor coaching.
Prove the lift
Re-run skill checks and capstone reviews so leadership sees security capability rise.
Scale across teams
Roll out one AI security standard across security, engineering, and product teams.
Need more than one program?Get a group quote
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Program Overview: What is AI Security for LLM and Agentic Applications Corporate Training?
AI Security for LLM & Agentic Applications is Edstellar's instructor-led technical program for developers, AI engineers, and security teams building LLM-powered products. Participants learn LLM security foundations, prompt injection defense, securing agentic AI systems, data and privacy security, and guardrails with monitoring. The program ends with a capstone security review of a real application.
Training is hands-on from the first module. Participants attack and defend a chat app, harden an agent workflow, and build a PII-safe pipeline in guided labs with instructor coaching on every exercise. Labs cover jailbreak techniques, tool-use risks, output filtering, and abuse detection. The program closes with a capstone where each team plans and executes a red team exercise on an LLM application.
LLM applications introduce risks that traditional application security was never designed to handle, from prompt injection to training data leakage. This program teaches teams to map the LLM attack surface, apply defense patterns that actually hold, and build guardrails with monitoring. Every technique is practiced in labs, so the learning transfers to production applications.
They close with a security review of a real application, the attack surface mapped, defenses tested, gaps documented. LLM features ship with someone having asked the hard questions before users do.
Security teams face fast-moving AI adoption, novel attack techniques, and pressure to ship safe AI quickly, while release timelines shrink. This program shows where structured security testing hardens LLM systems fast and where human judgment must stay in charge of every consequential decision.
The result: teams that spot AI attack surfaces early, test LLM systems with confidence, and ship hardened applications, supporting trusted AI adoption across your organization.
What's Included in this Workshop for Your Enterprise Teams
- 1
LLM attack surfaces mapped
Prompt injection, jailbreaks, tool abuse covered.
- 2
Hands-on security labs
Attack and defend LLM apps in guided labs.
- 3
Guardrail design toolkits
Reusable patterns for filters and monitors.
- 4
Expert security trainers
Learn from applied-AI security practitioners.
- 5
Capstone security review
Leave with a security review for your AI app.
- Training delivered at any of your offices globally
- 10+ languages
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Instructor-led (virtual/onsite/hybrid)
- Recurring and annual options
- Trainer sourcing, matching and logistics
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
AI Security for LLM and Agentic Applications Course Topics and Program Outline
A six-module technical program on LLM threat modeling, injection defense, agentic attack surfaces, and guardrails. Your team practices in hands-on labs and closes with a capstone security review of a real LLM application.
Built by Edstellar with applied-AI trainers
Built by practitioners in applied AI, with lab feedback on every exercise your security team completes.
Baseline each participant's AI security readiness before module 01 begins
Build strong LLM security foundations in instructor-led sessions for your team
Reinforce skills through guided hands-on labs on real LLM attack and defense workflows
Apply AI security skills to real-world scenarios and a capstone secure-agent project
A short pre-training assessment sets each participant's entry level, so the program starts where your team actually is. The rest is weighted toward hands-on practice: guided labs on LLM attacks, prompt-injection defense, and agent architecture reviews drawn from your team's stack, not slides.
Delivered as
Entry level set by the assessment. Depth and schedule customized to your team.
Check your team's baseline AI security readiness in a guided walkthrough.
learna)How LLM apps differ from classic software
b)Threat models for LLM systems
c)Attack surface mapping for chat apps
d)Baseline skills check
Attack and defend a chat application, practicing injection and jailbreak techniques alongside defenses.
practicea)Direct and indirect injection attacks
b)Jailbreak techniques and variants
c)Defense patterns that actually hold
d)Lab: attack and defend a chat app
Harden an agent workflow against tool-use and autonomy risks.
practicea)Tool-use and function-call risks
b)Agent planning and autonomy risks
c)Securing retrieval and data connectors
d)Lab: harden an agent workflow
Build a PII-safe pipeline with output filtering and redaction.
practicea)Training data and PII leakage risks
b)Output filtering and redaction
c)Model and prompt IP protection
d)Lab: build a PII-safe pipeline
Build a monitoring dashboard with guardrails and abuse detection.
practicea)Input and output guardrail design
b)Abuse detection and rate controls
c)Security logging for LLM apps
d)Lab: build a monitoring dashboard
Plan and execute a red team exercise, then present your security review findings.
applya)Plan your red team exercise
b)Execute your security test plan
c)Prioritize and document findings
d)Present your security review
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
By the end of this program, your team secures LLM and agentic AI systems confidently. Each competency is practiced in guided labs with coaching, so skills transfer straight to your AI stack.
Threat-model LLM systems
Map attack surfaces across prompts, tools, retrieval, and agent workflows before they are exploited.
Defeat prompt injection
Block direct and indirect injection with layered defenses that hold up under live attack.
Test for jailbreaks
Run structured jailbreak attempts so you can measure and fix model refusal failures.
Secure agent tool use
Constrain tool calls, permissions, and autonomy so agents cannot be turned against you.
Protect data and privacy
Stop PII leakage, training data exposure, and prompt IP theft across the AI pipeline.
Build guardrails
Design input and output guardrails with clear escalation and review workflows.
Monitor AI abuse
Detect misuse, anomaly patterns, and attacks in production and trigger incident response.
Teams that Benefit from this AI Security for LLM and Agentic Applications Group Training
This program is built for security, engineering, platform, and governance teams who protect AI systems. A working grasp of software security helps; AI specifics are taught from the ground up, so each cohort practices securing the LLM applications they actually own.
LLM attack surfaces mapped before release.
Security teams learn to threat-model LLM and agentic apps and run structured adversarial tests. They practice prioritizing findings teams can fix.
Workflow friction
- Injection attacks hard to test
- Agentic risks poorly mapped
- AI releases ship untested
How the program helps
- Threat-model AI apps
- Test adversarially
- Ship hardened systems
Practice use cases
- Injection test labs
- Threat model drills
- Guardrail builds
Security built into every LLM release.
Engineering teams learn secure coding patterns for LLM apps: input handling, tool permissions, and output controls. They practice fixing issues in labs.
Workflow friction
- Security added too late
- Unsafe tool integrations
- Output filtering ad hoc
How the program helps
- Code defensively
- Integrate tools safely
- Control model outputs
Practice use cases
- Secure coding labs
- Agent hardening
- Filter exercises
Production AI monitored for abuse.
Platform teams learn to deploy LLM systems with logging, abuse detection, and rate controls. They practice building monitors that catch attacks.
Workflow friction
- AI abuse invisible
- No LLM security logging
- Rate abuse unmanaged
How the program helps
- Log AI activity
- Detect abuse early
- Respond to incidents
Practice use cases
- Monitoring labs
- Abuse drills
- Logging builds
AI security evidence leaders can defend.
Governance teams learn to set AI security policy and review test evidence. They practice turning findings into audit-ready security reports.
Workflow friction
- AI policies lagging
- Security evidence scattered
- Oversight hard to show
How the program helps
- Set AI security policy
- Review test evidence
- Prove oversight
Practice use cases
- Policy workshops
- Evidence reviews
- Reporting drills
Cohorts mix roles so security, engineering, and platform teams learn the same AI security playbook together.
Prerequisites: This program benefits developers, AI engineers, and security teams building LLM-powered applications. Familiarity with APIs and basic application development helps but is not required. Content adapts to each cohort's exposure, from first LLM prototypes to production systems.
From conventional AppSec to LLM and agent security
LLM Security Foundations maps the threats unique to language models. Practice modules work through the defense layers: prompt injection defense, securing agentic AI systems, data and privacy security, and guardrails and monitoring. The capstone applies it all in a full security review of an LLM application.
Security teams evolve from traditional application security into defending the novel attack surfaces of LLM and agentic systems.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Choose How Your Team Learns
Hybrid, onsite, and live virtual delivery all run instructor-led, with the same hands-on labs and the same customized curriculum. Every engagement starts with a discovery call, and we schedule around your team's calendar in batches that fit your rollout plan.
Hybrid Training
Live instruction plus supervised hands-on labs, across onsite and virtual sessions. Your team attacks and defends LLM apps with instructor coaching. Best for technical practice with scheduling flexibility.
- Live instruction across onsite and virtual sessions
- Guided labs with instructor coaching on your roles
- Attack and defend LLM apps in real time
- Best for flexible schedules with real hands-on practice
Onsite Training
Your instructor delivers at your facility with labs set up for your team. Every participant practices injection defense and guardrail design. Best for co-located teams wanting maximum hands-on time.
- Instructor delivers at your facility
- Labs built around your AI stack
- Practice security workflows together
- Best for co-located teams wanting maximum interaction
Live Virtual Training
Live instructor-led sessions on your platform with guided security labs and breakout troubleshooting. Screen-shared reviews in real time. Ideal for distributed teams across locations.
- Live instructor-led sessions on your platform
- Guided labs with breakout troubleshooting
- Screen-shared work reviews in real time
- Ideal for distributed teams across locations
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Learn from industry experts.
Every session is led by a practitioner who has run monitoring for models in production, not a generalist working from slides.
Ivan
Cyber Security Trainer in Bengaluru
9+ years of Experience
Satyanarayana
Cybersecurity Fundamentals Trainer in Hyderabad
7+ years of Experience
Madhumetha
CompTIA Security+ Trainer in Chennai
9+ years of Experience
Asif
Advanced Excel Trainer in Ranchi
22+ years of Experience
Mohsin
Security Information and Event Management Trainer in Moradabad
7+ years of Experience
Yasir
Cybersecurity Trainer in Anantnag
11+ years of Experience
Mazhar
SOC Specialist Trainer in Bijapur
11+ years of Experience
Trainers are matched to your stack and delivery window at scheduling. We confirm your assigned trainer, with a full profile, before the program is booked.
Frequently Asked Questions
Share your team size, preferred dates, and delivery mode in the lead form, or book a short discovery call first. We reply with a tailored proposal covering scope, schedule, and pricing for your group.
Yes. Book a short discovery call and we will map your training needs, AI stack, and timelines before sharing a plan.
Yes. Live virtual sessions run instructor-led on your preferred platform, with guided hands-on security labs, breakout practice, and real-time feedback.
Yes. We deliver in-house at your offices globally, with labs built around your AI stack. Onsite suits co-located teams wanting maximum hands-on time.
The program runs 20 hours across six modules, typically delivered over three days. Scheduling is flexible and mutually agreed with you to fit your team's calendar.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Securing LLM and agentic applications builds on a general view of AI risk, then narrows to the specific attacks these systems face. Once protections are in place, your team tests them through red teaming and puts governance and human oversight around autonomous agents.
Why Choose Edstellar as Your AI Security for LLM and Agentic Applications Corporate Training Provider
As your training partner, we make comparing providers simple: share your training needs and we shape an AI Security for LLM & Agentic Applications program around your stack, timelines and delivery mode. You get a matched trainer profile, deep AI expertise, and a plan your leaders can approve.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Content shaped around your LLM and agentic AI security use cases: threats and defenses, so every session maps to your real needs.
Proven Methodology
5+ years delivering corporate training to AppSec and AI engineering teams across industries and regions.
Practice-Based Learning
5 hands-on labs across 6 modules. Your team builds secure agent architectures with instructor guidance.
Expert Trainers
5,000+ certified trainers matched to your AI security stack, with a full trainer profile shared before your program is booked.
Global Scale
One AI security program across your offices worldwide, in hybrid, onsite, or live virtual.
Measurable Outcomes
Baseline-to-capstone measurement and Skills Matrix reporting keep your LLM security capability lift visible.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
AI Security for LLM & Agentic Applications Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request AI Security for LLM and Agentic Applications Training for Your Team
Tell us your team size, security roles, and preferred delivery mode. We will confirm availability and respond with a tailored training plan covering scope, schedule, and pricing.