The Open Worldwide Application Security Project (OWASP) has just released its definitive list of 20 AI agent-specific security risks, and the findings are a wake-up call for Indian SMBs racing to deploy automation. From unsafe prompt injection and agent memory poisoning to excessive agency privileges and data leakage via third-party APIs, the report maps out exactly where autonomous AI systems fail in production. This is the first standardized threat model built specifically for agentic AI — not just chatbots.
- Core Update: OWASP published its Agentic AI Threat Model v1.0, listing 20 distinct risk categories from tool misconfiguration to unbounded autonomous decision loops.
- Key Metrics: Top risks include prompt injection (rank #1), sensitive data disclosure, improper output handling, and insecure agent-to-agent communication.
- Access & Availability: The full OWASP AI Agent Risk framework is live now on the official OWASP website, free for developers and security teams to audit against.
For Chennai's growing SMB tech ecosystem, this isn't academic — it's a pre-deployment checklist. Most local businesses deploying AI agents for customer support, lead qualification, or back-office workflows are skipping basic governance like human-in-the-loop approval gates and input sanitization layers. The report specifically flags "unbounded agency," where a bot with CRM and payment access could act beyond its intended scope — a real risk for firms running AI Agents & Bots without sandboxed permissions. Indian SMBs using LLMs for marketing automation should also review their data-handling pipelines alongside the latest open-source model rollouts.