[vc_row css_class=”training-hero” css=”.vc_custom_2234567950{padding-top: 120px !important;padding-bottom: 80px !important;background: linear-gradient(180deg, rgba(124, 58, 237, 0.08) 0%, transparent 100%) !important;}”][vc_column width=”2/3″ offset=”vc_col-lg-offset-2 vc_col-md-offset-1″][vc_custom_heading text=”Your Security Team Knows Firewalls. They Don’t Know Prompt Injection.” font_container=”tag:h1|font_size:52px|color:%23ffffff|line_height:1.15″ google_fonts=”font_family:Inter%3A400%2C700%2C800|font_style:800%20bold%20regular%3A800%3Anormal” css_class=”hero-heading”][vc_column_text css=”.vc_custom_2234567951{margin-top: 30px !important;margin-bottom: 40px !important;}”]

Train your teams to secure AI systems with hands-on workshops, intensive bootcamps, and executive briefings from an AI security expert who holds a US patent in the field.

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The Problem:

Your developers are deploying LLM-powered features. Your security team is running the same vulnerability scans they’ve used for 10 years. And your executives are approving AI budgets without understanding the security implications.

Traditional security training doesn’t cover AI-specific threats.

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I teach your teams to think like AI attackers—from prompt injection to RAG poisoning to agent compromise. Not theoretical frameworks. Real exploits. Real defenses. Real implementations.

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Intensive 1-3 day workshops for your engineering and security teams. Hands-on labs. Real vulnerabilities. Production-ready defenses.

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What Your Team Will Learn:

  • ✓ Prompt Injection Defense – Jailbreaking techniques, system prompt protection, input sanitization
  • ✓ RAG Security – Vector database poisoning, context injection, retrieval manipulation
  • ✓ Agent Hardening – Tool access controls, function calling security, autonomous action boundaries
  • ✓ LLM Integration Security – API security, key management, rate limiting, output validation
  • ✓ Data Leakage Prevention – PII scrubbing, conversation history security, training data contamination

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Workshop Format:

Day 1: Threat Landscape
Understanding AI-specific attack vectors. Live demos of real exploits. Threat modeling your systems.

Day 2: Hands-On Defense
Implementing security controls. Code labs with prompt injection defense, RAG hardening, agent sandboxing.

Day 3: Production Hardening (Optional)
Security architecture review. Production deployment strategies. Ongoing monitoring and detection.

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Delivery Options:

• On-site (your office)
• Virtual (live online)
• Hybrid (mix of both)

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Team Size:

8-20 participants ideal
(Larger groups available)

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Investment:

Starting at $12,500/day
Multi-day discounts available

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Program Structure:

Week 1-2: Foundations
LLM architecture, prompt engineering, basic vulnerabilities, threat modeling.

Week 3-4: Attack Techniques
Prompt injection, jailbreaking, data extraction, model poisoning, adversarial inputs.

Week 5-6: Defense Implementation
Input validation, output filtering, context isolation, agent sandboxing, monitoring.

Week 7-8: Capstone Project
Secure an actual AI application. Present findings. Get certified.

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Format:

• 8 weeks, part-time
• 3 hours/week live sessions
• 5-10 hours/week labs
• Virtual or in-person

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Who Should Attend:

Developers building AI features
Security engineers
AppSec teams

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Investment:

$2,500/person
Group discounts (5+ people)

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8-week intensive program for developers and security engineers. Build AI applications securely from the ground up.

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Curriculum:

  • ✓ LLM Security Fundamentals – How language models work, where they fail, attack surface analysis
  • ✓ Offensive AI Security – Exploiting prompts, bypassing guardrails, extracting training data
  • ✓ Defensive Programming – Secure prompt engineering, input validation, output filtering
  • ✓ RAG Security Deep-Dive – Vector databases, embedding attacks, retrieval poisoning
  • ✓ Autonomous Agent Security – Tool access controls, function calling, action boundaries
  • ✓ Production Hardening – Monitoring, logging, incident response, compliance

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Certification:

Complete the capstone project and receive AI Security Practitioner certification

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Half-day strategic sessions for C-suite, board members, and senior leadership. No technical jargon. Just business impact.

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What Leaders Need to Know:

  • ✓ AI Risk Landscape – What can go wrong when AI is deployed at scale
  • ✓ Regulatory Compliance – EU AI Act, NIST AI RMF, sector-specific requirements
  • ✓ Business Impact – Financial exposure, reputational risk, competitive disadvantage
  • ✓ Strategic Decisions – Build vs buy, internal vs external expertise, budget allocation
  • ✓ Governance Framework – Who owns AI security? How to measure success?

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Session Structure:

Part 1: The Threat (90 min)
Live demonstrations of AI exploits. Real-world breach case studies. Financial impact analysis.

Part 2: Your Exposure (60 min)
Assessment of your current AI deployments. Gap analysis. Risk prioritization.

Part 3: Strategic Response (90 min)
Building an AI security program. Resource allocation. Roadmap development.

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Ideal For:

• CEOs and CTOs
• Board members
• CISOs and CIOs
• VPs of Engineering

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Format:

Half-day (4 hours)
On-site or virtual
Up to 20 executives

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Investment:

Starting at $8,500/session

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🎯 No Theory. Just Practice.

I don’t teach from slides. Every session includes live exploitation demos, hands-on labs, and real code. Your team leaves with skills they can use immediately.

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🔬 Real Expertise.

I hold a US patent in AI security. I work at GoDaddy securing AI systems at scale. I’ve built AI applications and broken them. This isn’t generic security training.

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🛠️ Customized to Your Stack.

Using OpenAI? Anthropic? Custom LLMs? RAG with Pinecone? Agents with LangChain? I tailor every training to your actual technology stack.

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“We thought our security team knew how to secure our LLM chatbot. After Kaushal’s workshop, we discovered we were vulnerable to prompt injection on day one. Fixed it before launch.”

— VP Engineering, FinTech Startup

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“This isn’t your typical compliance training. Kaushal showed us actual exploits against production AI systems. Our developers immediately started hardening our code.”

— Security Architect, Healthcare SaaS

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“The executive briefing gave our board the clarity they needed to approve AI security budget. Worth every penny.”

— CISO, Fortune 500 Bank

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Can you customize training for our specific tech stack?

Absolutely. Corporate workshops are always customized. Tell me what you’re using (OpenAI, Anthropic, custom models, specific RAG frameworks) and I’ll tailor the curriculum and labs to your stack.

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Do you offer virtual training?

Yes. All programs are available virtually. Corporate workshops and executive briefings work great over Zoom. Bootcamps are designed for remote participation with live sessions and async labs.

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What’s the typical group size?

Corporate workshops work best with 8-20 people. Executive briefings can handle up to 20 leaders. Bootcamps are capped at 25 to ensure everyone gets hands-on support.

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What level of technical expertise is required?

Corporate workshops: Basic programming knowledge helpful. Executive briefings: None—designed for non-technical leaders. Bootcamps: Intermediate Python experience required plus basic understanding of APIs.

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Do you provide materials after training?

Yes. All participants get access to slides, lab environments, code samples, and a security checklist. Bootcamp students also receive ongoing access to the learning platform.

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Can you train our team on-site?

Yes. On-site training is available for corporate workshops and executive briefings. Travel expenses additional. I’m based in India but work with companies globally.

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Request a custom training proposal for your team. No generic workshops. Just the skills you actually need.

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Or email me directly: kaushal@bhavsar.ai

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