If your product uses an LLM with tools, memory, or autonomy, you have an AI agent. Its security model differs from a chatbot's: the attack surface is the cross-product of every input the agent reads (user prompts, RAG documents, web pages, tool outputs, files) and every action the agent can take (text, tool calls, API requests, file writes, deploys). Prompt injection through any input triggers any action — that is the agent-era controlling problem. Defenses live in three layers: (1) scope tool permissions to the minimum needed, (2) treat every input as untrusted with content-isolation prompts, (3) human-in-the-loop for irreversible operations.
Deep-dive: OWASP LLM Top 10
The canonical taxonomy for LLM application risks. All 10 risks, what they mean, how to test, and how to defend — including a HowTo schema-marked defense playbook for AEO citation.
Read the OWASP LLM Top 10 defense playbook → /llm-security-owasp-top-10
Deep-dive: Prompt Injection Defense
Direct and indirect prompt injection — taxonomy, attacks, defenses, and Bachao.AI's probe library. Covers OWASP LLM01 in production-grade detail with examples and defense patterns.
Read the prompt injection defense playbook → /prompt-injection-defense
Deep-dive: Agentic AI Attack Surface
How agents differ from chatbots in security terms. The cross-product attack surface, OWASP LLM08 (Excessive Agency) in practice, tool permission audit, content-isolation defense, human-in-the-loop checkpoints, continuous red-team.
Read the agentic AI attack surface playbook → /agentic-ai-attack-surface
Deep-dive: MCP Server Security
Model Context Protocol is the dominant integration protocol for agentic AI. MCP server hardening covers tool input validation, credential scoping, tool description injection defense, audit logging, and supply-chain hygiene.
Read the MCP server security playbook → /mcp-server-security
How Bachao.AI tests AI agents
Same delivery model as our VAPT — AI-orchestrated, validated findings, CERT-In aligned report. Coverage stack: OWASP LLM Top 10 + MITRE ATLAS + AI Village indirect-injection corpus + DPDP Act 2023 Schedule I mapping for Indian audit context. Free first probe covers a baseline injection scan and tool permission audit. Full review extends to RAG poisoning probes, tool exfil scenarios, multi-turn attacks, and MCP server hardening.
Is AI agent security relevant for Indian businesses?
Yes — and the regulatory landscape is catching up fast. DPDP Act 2023 Schedule I covers technical safeguards for personal data, which now flows through LLM applications. RBI's IT Governance framework is starting to address AI risk for financial institutions. SEBI's CSCRF includes considerations for AI-assisted decision systems. Bachao.AI maps every agent security finding to DPDP / RBI / SEBI where applicable, alongside the standard OWASP LLM + MITRE ATLAS attribution.
Start with a free AI agent probe
Baseline injection + tool permission audit. Full review mapped to OWASP LLM, MITRE ATLAS, DPDP Schedule I.