Prompt injection protection
Block direct and indirect prompt injection, jailbreak prompts, hidden instruction overrides, prompt extraction attempts, and multilingual attack patterns before they reach your LLM.
Learn moreFree IDE extension for risk-free vibe coding — keep secrets out of AI.
SoterAI helps teams detect prompt injection, secrets, PII, risky MCP tools, unsafe AI outputs, and AI-agent actions across browsers, IDEs, workflows, and APIs.
Scan prompts, redact sensitive data, and apply safer AI usage controls in Chrome and Microsoft Edge.
Choose your browser
Secure AI pair-programming in VS Code and JetBrains IDEs with the same command-layer, unified policy.
Choose your IDE
AI security platform
SoterAI helps product, engineering, and security teams protect production AI systems from prompt injection, jailbreaks, AI data leakage, unsafe model outputs, and risky agent tool calls. It works as a real-time AI security guard between users, models, retrieval, tools, and your application.
Block direct and indirect prompt injection, jailbreak prompts, hidden instruction overrides, prompt extraction attempts, and multilingual attack patterns before they reach your LLM.
Learn moreDetect and redact secrets, credentials, database URLs, Aadhaar-like numbers, PAN, GSTIN, UPI IDs, IFSC codes, Indian phone numbers, and other sensitive context.
Learn moreInspect retrieved documents and model outputs for poisoned context, untrusted sources, sensitive snippets, unsafe citations, and disclosure risks in retrieval-augmented generation.
Learn moreReview agent actions, MCP tools, browser automation, workflow steps, and high-risk operations before an AI agent can execute sensitive work.
Learn moreThe problem
Untrusted prompts, copied secrets, personal data, and unsafe model responses need controls outside the model itself. SoterAI adds an observable security gateway to the flow.
2-way
Input, output, and agent coverage
Risk reduction around users, models, retrieval, and tools.
Operating model
Evaluate every user message before model execution.
Block, redact, rewrite, or route high-risk traffic for review.
Check model responses before users or downstream tools see them.
Use dashboards, logs, webhooks, and reports to improve controls.
Two platforms, one security layer
Whether your AI agents act on company systems or your employees use AI tools with sensitive data — SoterAI protects both sides.
For companies using AI agents
Your AI agents use email, CRM, database, and payments. SoterAI gives you action approval, audit logs, rollback, and compliance — a high-trust control layer between agents and your business systems.
For 50-500 employee companies
Employees paste company data into ChatGPT, Claude, and Cursor daily. SoterAI enforces provider policies, department rules, data classification, and keeps a complete audit trail for legal accountability.
Focused product
SoterAI focuses on local-first AI usage and AI-agent control for teams using ChatGPT, Claude, Gemini, Cursor, VS Code, n8n, and internal AI apps.
Input, output, RAG, and grounding checks for server-side AI apps.
Try APIExtension-based visibility and control for AI use in browser workflows.
Install browser extensionOpens the Chrome / Edge installer chooser.
Secure AI-assisted development across all major IDEs.
Install IDE GuardOpens the VS Code / Cursor / Windsurf / Kiro / Antigravity / VSCodium installer chooser.
Guard nodes for workflow builders who need AI checks inside automation.
Add n8n Node View node (n8n-nodes-soterai)SoterAI modules for Make.com scenarios that scan AI inputs and outputs inline.
Add Make Node View node (SoterAI on Make.com)Zapier actions that check AI prompts and responses before data reaches external apps.
Add Zapier Node View node (SoterAI on Zapier)Risk review for MCP tools and agent actions before sensitive operations execute.
Review agent controlsRedacted logs, signed exports, benchmark evidence, and trust-review artifacts.
View trust centerAdd server-side guard checks without exposing API keys or raw secrets in client code.
See risky AI usage, blocked events, redactions, and audit evidence across projects.
Ship AI features with prompt-injection, PII, secrets, and unsafe-output controls from day one.
Manage workspaces, RBAC, retention, billing state, and security review workflows.
Insert guard checks into n8n and automation flows before data reaches external models.
Authorize or block tool calls such as email sends, database writes, and payment actions before execution.
Hold risky actions for human review and preserve a full audit trail.
Signed agent passports with capability-based authorization and delegation chains.
Apply different AI rules for engineering, marketing, finance, HR, and admin workflows.
Detect when company data, customer records, or credentials are pasted into AI tools and block or alert.
Track who used which AI surface, when, and which data classes were detected without storing raw secrets.
Detect instruction overrides, jailbreak personas, prompt extraction, and tool-abuse attempts before they reach the model.
Redact PII, India-specific identifiers, credentials, tokens, and database URLs without storing raw secret values.
Inspect retrieved context, document trust, and memory records so private data does not quietly move into unsafe outputs.
Check model responses for leaked instructions, unsafe claims, sensitive data, suspicious links, and policy violations.
Convert findings into risk scores and actions: allow, redact, rewrite, human review, or block.
Track decisions, redactions, blocked requests, usage, webhooks, and monthly security summaries for operations teams.
See it in action
An interactive walkthrough showing prompt injection blocking, India PII redaction, secret detection, jailbreak prevention, and the evidence-backed public benchmark in action.
User message
Risk score
BLOCKED
Action
BLOCK
Request blocked before reaching LLM. No data exposed.
Prompt Injection Blocked
Instruction override attempt detected and stopped in real-time
Adversarial Benchmark
Latest generated run: 2,200 synthetic attack cases and 1,000 benign controls evaluated with the production detector. This self-maintained benchmark is useful regression evidence, not an independent audit or production guarantee.
100%
Recall
2,200 synthetic attacks
0.00%
False-Positive Rate
1,000 benign controls
10.92ms
Analyzer p95
Local benchmark run
10
Attack Categories
Synthetic public corpus
OWASP alignment
Controls map to relevant OWASP LLM Top 10 risk areas. Alignment supports risk reduction and is not a certification or claim of complete coverage.
Detect instruction overrides, jailbreak combinations, and prompt extraction attempts.
Redact PII, Indian identifiers, credentials, tokens, and database URLs.
Inspect model output for leaked instructions, unsafe claims, and suspicious links.
Apply text-size, per-minute, and monthly usage controls.
Built for India
Detect and redact Aadhaar-like patterns, PAN, GSTIN, UPI, IFSC, Indian mobile numbers, and contextual student, patient, and bank identifiers.
Interactive playground
Use safe defensive examples to inspect findings, redaction, action, and risk score.
Questions
SoterAI is an AI security command layer that protects chatbots, RAG apps, and autonomous agents from prompt injection, jailbreaks, data leakage, unsafe outputs, and agent abuse. It sits between users, models, and tools to inspect every AI interaction in real time.
No. SoterAI is a defense-in-depth risk reduction layer. It should be combined with secure application design, identity controls, monitoring, and human review.
SoterAI inspects AI inputs and outputs for prompt injection, jailbreaks, sensitive data, unsafe responses, and risky agent behavior across chatbots, RAG pipelines, and autonomous agents.
SoterAI uses a multi-layer detection engine that analyzes user inputs for instruction overrides, jailbreak personas (like DAN), prompt extraction attempts, encoding obfuscation, multilingual attacks, and indirect injection through retrieved documents.
Yes. SoterAI offers a Free plan at INR 0/month to validate a small AI workflow. Paid plans start at INR 999/month for production chatbot traffic with team controls, deeper reporting, and priority support.
Yes. The production stack runs with Docker, Postgres, Redis, and optional vector storage, so teams can keep full control of deployment and data boundaries on their own infrastructure.
No. Secret-bearing and sensitive payloads are persisted only in redacted or hashed form where practical. SoterAI is designed to minimize data retention of sensitive content.
Yes. SoterAI is built with India-specific PII detection including Aadhaar-like patterns, PAN, GSTIN, UPI ID, IFSC codes, Indian mobile numbers, and contextual student, patient, and bank identifiers.
SoterAI performs input and output guard checks in under 50 milliseconds, making it suitable for real-time chatbot and agent interactions without noticeable latency.
Create a project, keep your API key on the server, call the input guard before your LLM, and call the output guard before returning the response to the user. SDKs are available for JavaScript, Python, Next.js, Express, and more.
SoterAI provides native SDKs for JavaScript/TypeScript and Python, plus a REST API that works with any language including Java, Go, PHP, C#, Ruby, Rust, and more.
Yes. SoterAI integrates with LangChain chains, LlamaIndex query engines, and custom RAG pipelines. It inspects retrieved context, applies document trust scoring, and prevents sensitive data from leaking into model responses.
Free tier available. Create a project, get an API key, and protect your first AI workflow in under 10 minutes.