2026 INTAKE · LLM SECURITY · ADVERSARIAL ML · MITRE ATLAS
AI Cyber Security Course in Bangalore
Bangalore's first dedicated AI Cyber Security training program — covering defensive AI (ML-powered SIEM, UEBA), Generative AI security (OWASP LLM Top 10, prompt injection, RAG security), AI penetration testing (adversarial ML), AI governance (EU AI Act, NIST AI RMF). AI Security Engineer roles in Bangalore grew 24× from 2023 to 2026 (50 → 1,200+ active postings). Skills add ₹4-8 LPA premium over baseline cybersec. 4-month paid internship on real AI security customer projects.
OWASP LLM Top 10 mapped MITRE ATLAS framework +₹4-8 LPA premium 24× hiring growth (2023-2026) 4.7★ Google · 1,173 reviews
8-MODULE AI + CYBER SECURITY CURRICULUM
From AI Foundations to AI Security Engineer — 8 Months
Bangalore's first dedicated AI Cyber Security training program. Covers defensive AI (ML-powered SIEM, anomaly detection), generative AI security (OWASP LLM Top 10, prompt injection, RAG security), AI penetration testing (adversarial ML), AI governance (EU AI Act, NIST AI RMF), and cloud AI security (Bedrock, Azure OpenAI). 4-month paid internship on real AI security customer projects.
M1
AI + Cyber Security Foundations
- ·Machine Learning + Deep Learning fundamentals (Python, scikit-learn, PyTorch)
- ·Why AI is transforming cybersecurity in 2026 — supervised vs unsupervised vs RL
- ·AI threat landscape: prompt injection, model poisoning, adversarial examples
- ·OWASP Top 10 for LLM Applications (2025 edition)
- ·MITRE ATLAS framework for AI threat classification
→ Day-1 fluency in AI security vocabulary.
M2
Defensive AI — AI for Cyber Defense
- ·AI-powered SIEM: behavioural analytics, anomaly detection
- ·Splunk MLTK + Microsoft Sentinel UEBA hands-on
- ·Email phishing detection using NLP classifiers
- ·Network anomaly detection with autoencoders
- ·Building production ML pipelines for security data
→ Production AI/ML defence skills for SOC teams.
M3
AI for Threat Hunting & Detection Engineering
- ·Behavioural threat hunting using statistical models
- ·Sigma rule generation with LLMs (prompt engineering for detection)
- ·Adversarial ML for Red Team simulations
- ·MITRE ATT&CK detection coverage analysis with AI
- ·Hunting LLM-generated phishing campaigns
M4
Generative AI Security (LLM Security)
- ·Prompt injection attacks — direct + indirect
- ·Jailbreaking, data extraction, model inversion
- ·Building secure RAG (Retrieval-Augmented Generation) systems
- ·LLM guardrails: NeMo Guardrails, Garak, PromptLayer
- ·OWASP LLM Top 10 deep dive with hands-on labs
→ Skills for the fastest-growing security niche in 2026.
M5
AI Penetration Testing
- ·Adversarial attacks on classifiers (FGSM, PGD, C&W)
- ·Model extraction + model inversion attacks
- ·Using LLMs as offensive tools (PentestGPT, AutoGPT for sec)
- ·Red teaming AI systems — Microsoft AI Red Team methodology
- ·Bug bounty programs for AI products (HackerOne AI bounty)
M6
AI Governance, Compliance & Risk
- ·EU AI Act + India DPDP Act 2023 — AI compliance landscape
- ·NIST AI Risk Management Framework (AI RMF)
- ·Model cards, datasheets, AI bias auditing
- ·Responsible AI: fairness, accountability, transparency
- ·Building AI governance for enterprises
M7
Cloud + AI Security (AWS/Azure)
- ·Securing Amazon Bedrock + Azure OpenAI deployments
- ·AWS GuardDuty Malware Protection + AI-driven services
- ·Azure AI Content Safety + Defender for Cloud AI
- ·Secrets management for LLM API keys at scale
- ·MLSecOps pipelines: model signing, attestation, supply chain
M8
Internship + AI Security Career Placement
- ·Paid internship from month 7 onwards — until you are placed — at our Network Security Operations Division
- ·Real customer projects: AI-driven SIEM tuning, LLM red-teaming, RAG security audits
- ·Resume rewrite emphasising AI + Security combined skills (rare combo, premium pay)
- ·Bangalore AI Security hiring map — 1,200+ active postings April 2026
- ·Cross-link into pen-test, SOC, or cloud security tracks based on alignment
→ Verified Experience Letter — competitive at AI Security Engineer roles.
AI SECURITY SALARY PREMIUM, BANGALORE
What AI Cyber Security Engineers Earn in Bangalore
AI security skills add ₹4-8 LPA premium over baseline cybersec roles. Hiring volume grew from ~50 to ~1,200 Bangalore postings between 2023-2026 (24× growth in 24 months).
| Role | Without Letter (₹ LPA) | With NH Verified Letter (₹ LPA) | Note |
|---|---|---|---|
| Junior AI Security Analyst | ₹6–10 | ₹8–13 | AI-driven SOC / detection tuning |
| AI Security Engineer | ₹12–20 | ₹14–22 | LLM security + adversarial ML |
| ML Security Architect | ₹20–32 | ₹22–35 | Senior — MLSecOps + governance |
| AI Red Team Engineer | ₹14–24 | ₹16–26 | Offensive — adversarial AI specialist |
FREQUENTLY ASKED
AI Cyber Security Course — Common Questions
Why is AI cyber security suddenly so important in 2026?▾
Three reasons converged. (1) Generative AI (LLMs) entered enterprise production at massive scale — every company now has GenAI attack surface. (2) Attackers started using LLMs for phishing, social engineering, and malware generation at industrial scale (LLM-generated phishing rates increased 1,265% from 2023-2025 per multiple security vendor reports). (3) AI-driven defensive tools became ubiquitous — SOCs now require analysts who understand both ML models and security. The result: AI Security Engineer roles in Bangalore have grown from ~50 active postings in 2023 to ~1,200+ in April 2026.
Do I need to be a Machine Learning expert before taking this course?▾
No. Module 1 covers ML foundations from scratch (Python + scikit-learn + PyTorch basics) before introducing security applications. We assume basic Python programming + cybersecurity fundamentals (Security+ level or our 8-month flagship). Most successful students come from one of two backgrounds: (1) cybersecurity engineers adding AI skills, or (2) ML/data science engineers adding security skills. Both paths are well-supported in the curriculum.
What's the salary premium for AI cyber security skills in Bangalore?▾
Verified across 1,200+ Bangalore AI security JDs in April 2026: AI Security skills add ₹4-8 LPA over baseline cybersecurity roles. Pure cybersec engineer at ₹10 LPA → AI Security Engineer at ₹14-18 LPA. Senior cybersec at ₹18 LPA → ML Security Architect at ₹24-32 LPA. The premium is largest at product companies + AI-native startups (Razorpay, Cred, Postman, Indian AI startups) and at consulting firms (Accenture AI Security practice, Wipro AI Security, EY).
What's the difference between AI security and traditional cybersecurity?▾
AI security is a specialisation INSIDE cybersecurity — not a replacement. Traditional cybersec covers networks, endpoints, cloud, identity. AI security adds: (1) ML model attack surface (adversarial examples, prompt injection, model poisoning); (2) AI-driven defence tooling (UEBA, ML-powered SIEM); (3) AI governance/compliance (EU AI Act, NIST AI RMF). You still need traditional cybersec foundations — AI security stacked on top is what commands the salary premium.
Is this course aligned to any specific AI security certification?▾
Yes — multiple. Curriculum is mapped to: (1) Certified AI Security Professional (CAISP) — emerging industry standard; (2) ISC² Certified in AI Security (CAS) — newer credential; (3) Microsoft AI-102 + AI-900 (covers responsible AI + governance); (4) Adversarial AI fundamentals from MITRE ATLAS. Our 12-month NHPREP.COM Pass includes mock tests for available AI security certs as they're released.
Will AI eventually replace cyber security analysts entirely?▾
No — but it changes the role significantly. AI is replacing the highest-volume repetitive tasks (Tier 1 SOC alert triage, basic phishing analysis, signature-based detection writing). What AI can't replace: judgment-based decisions (when to escalate during ambiguous incidents), creative red teaming, cross-system threat hunting, regulatory interpretation, customer/stakeholder communication. Career advice for 2026 entrants: skip purely-Tier-1-SOC roles as long-term destination; aim for AI-augmented SOC L2/L3, AI security engineering, or detection engineering by year 3.
Be first-mover in AI Cyber Security careers
2026 batch starting soon. AI security is the fastest-growing cybersec niche — 24× hiring growth in 24 months. 20% discount until 2 May 2026. Free 15-minute career consultation.
Named trainers
Who teaches AI Cyber Security at Networkers Home
Trainer
Nikunj Gohil
Dual CCIE (Security & Enterprise) & Cloud Security Trainer
6+ years training experience · 5,500+ students
Nikunj Gohil bridges traditional network security with cloud security. His 6+ years of experience includes both on-premise and cloud environments. He excels at teaching students how to secure hybrid cloud infrastructures and prepare for both Cisco and cloud security certifications.
CCIE SecurityCCIE EnterpriseCCNP SecurityAWS SecurityAzure Security
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Trainer
Ajay Kumawat
CCNP Enterprise/Security, Cloud & SIEM Expert
5+ years training experience · 6,000+ students
Ajay Kumawat specializes in enterprise security solutions with 5+ years of industry experience. He has designed security architectures for banks and government organizations. His expertise spans both traditional network security and modern cloud security implementations.
CCNP SecurityCCNP EnterprisePCNSEAWS Security SpecialtyAzure Security Engineer
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Quick Answers
AI Cyber Security course in Bangalore at Networkers Home
What does the AI Cyber Security course in Bangalore cover?
The 8-month AI Cyber Security programme at Networkers Home in HSR Layout covers AI/ML foundations (Python + PyTorch), defensive AI (ML-powered SIEM, anomaly detection, UEBA), Generative AI security (OWASP LLM Top 10, prompt injection, RAG security), AI penetration testing (adversarial ML, FGSM, PGD attacks), AI governance (EU AI Act, NIST AI RMF, MITRE ATLAS), and cloud AI security on Amazon Bedrock and Azure OpenAI Defender. Plus 4-month paid internship on real AI security customer projects.
Which frameworks does Networkers Home's AI Cyber Security training map to?
The curriculum maps to OWASP LLM Top 10 (prompt injection, insecure output handling, training-data poisoning), MITRE ATLAS (adversarial ML tactics + techniques), NIST AI Risk Management Framework (AI RMF 1.0), EU AI Act (high-risk system classification), and Google Secure AI Framework (SAIF). Real-lab exercises use OpenAI's Moderation API, Azure AI Content Safety, and open-source guardrail frameworks like Guardrails AI + NeMo Guardrails.
Who teaches the AI Cyber Security course at Networkers Home?
The programme is taught by Nikunj Gohil (Dual CCIE Security + Enterprise, 6+ yrs, AWS + Azure Security specialisation) and Ajay Kumawat (CCNP Security + PCNSE + AWS Security Specialty + Azure Security Engineer + SIEM Specialist, 5+ yrs). Both are LinkedIn-verifiable and actively teach the enterprise-security modules that feed into the AI-security layer.
What salary can I expect after the AI Cyber Security course?
AI Security Engineer roles in Bangalore added roughly Rs 4-8 LPA premium over baseline cybersecurity roles in 2026 postings. Fresher AI security engineers with the certification stack + capstone portfolio typically land Rs 8-14 LPA at product companies; experienced professionals (3-5 yrs) reach Rs 20-35 LPA. Hiring for AI security jobs in Bangalore grew 24× from 2023 to 2026 (50 → 1,200+ active postings).