🤖 Agentic AI for Security
Build with AI
Practical guides to build your own agentic AI tools for cybersecurity — from architecture understanding to production deployment.
5
Guides
40+
Code Examples
7
Tool Integrations
40
Security Controls
Prerequisites: Basic Python knowledge and familiarity with APIs. You do not need an ML or data science background. These guides are written for security analysts and engineers who want to build practical AI tools for their SOC — not for ML researchers.
📍 Recommended Learning Path
All Guides
Guide 1
Agentic AI Architecture Guide
Interactive guide to the building blocks of AI agents — LLM, tools, memory, orchestration — mapped to real SOC use cases.
Covers: Architecture diagram, 5 design patterns (ReAct, Plan-Execute, HITL, Multi-Agent, Reflection), step-by-step build workflow, 10 SOC use cases by difficulty, pitfalls & limits. Includes full tool-calling Python code example.
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Guide 2
Prompt Engineering for Security AI
Security-specific prompting patterns with 6 ready-to-use system prompt templates and an interactive live tester.
Covers: 7 core principles, before/after examples, templates for alert triage, phishing analysis, CERT-In report drafting, log analysis, threat hunting, and IOC enrichment. Interactive tester using Claude API.
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Guide 3
Agent Framework Comparison
Compare LangChain, CrewAI, AutoGen, LlamaIndex, Direct API, and Ollama for building security agents. Filter by your requirements.
Covers: 6 frameworks with scored comparisons, filters by skill level / use case / cost, instant recommendation based on your answers, decision guide, full feature table including India data residency options.
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Guide 4
Tool-Calling Patterns
Copy-paste Python integrations connecting AI agents to your SIEM, threat intel, EDR, ticketing, and notification systems.
Covers: Complete agent loop, Splunk REST API, Microsoft Sentinel KQL, VirusTotal + AbuseIPDB, Slack with human-in-the-loop approval buttons, Jira ticket creation, CrowdStrike Falcon + Microsoft Defender for Endpoint.
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Guide 5
AI Agent Security Checklist
40 security controls to validate before deploying an AI agent in your SOC. Generates a deployment verdict.
Covers: Prompt injection defence, data privacy & residency (RBI/SEBI/DPDP context), access control & least privilege, hallucination controls, monitoring & cost limits, model risk, operational readiness. OWASP LLM Top 10 mapped. Export report.
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