Stop prompt injections, enforce agent tool authorization, tokenize PII in real-time, and guarantee compliance with the EU AI Act & ISO 42001. Built for engineering teams and trusted by CISOs.
Test adversarial payloads against SecureAI's sub-5ms fast-path classifier and reversible PII vault.
Deploy in under 5 minutes as an in-process library, a drop-in reverse proxy, or an MCP agent interceptor.
Sub-2ms in-memory inspection for private vLLM, Triton, or air-gapped internal microservices with @guard.
Zero code change. Point OPENAI_BASE_URL to SecureAI for instant corporate-wide governance and streaming DLP.
Enforce tool RBAC, parameter sanitization, and step-up Slack approvals before autonomous agents execute SQL or APIs.
from secureai import guard, SecurityPolicy from openai import OpenAI # 1-Line in-process decorator for sub-2ms local security @guard(policy=SecurityPolicy.STRICT, user_context={"role": "analyst"}) def query_internal_ai(prompt: str) -> str: client = OpenAI() response = client.chat.completions.create( model="gpt-4o", messages=[{"role": "user", "content": prompt}] ) return response.choices[0].message.content
Sub-5ms detection of role-play jailbreaks, adversarial token patterns, and weaponized PDF/RAG prompt injections.
Replaces SSNs, emails, and API keys with synthetic tokens upstream and dynamically de-anonymizes them for internal tools.
Fine-grained RBAC/ABAC on tool arguments, parameter sanitization (SQLi, SSRF), and step-up Slack approval workflows.
Sliding-window token buffering to scan streaming responses on the fly while stripping markdown exfiltration URLs.
Automated compliance dashboards, AI-BOM software inventory, and cryptographic HMAC-signed audit trails.
Free CLI scanner (npx secureai-scan) and GitHub Action gate to discover leaked keys and unvetted MCP servers.
For builders & side projects
For growing production AI apps
For regulated industries & scale
