One API. Every signal. Real-time decisions with full reasoning. Shield protects your app from bots, fraud, prompt attacks, account farming, and data exfiltration — all from a single endpoint.
InferencePort AI Shield is a developer-first trust, fraud, and AI security platform that protects applications from bots, abuse, fraud, prompt attacks, account farming, and data exfiltration attempts through a single API integration.
Instead of deploying multiple security products, complex rules engines, fraud detection systems, and AI guardrails, developers can send all available signals to Shield and receive a real-time risk assessment, detailed reasoning, and recommended actions.
Core philosophy: Send us everything you know. Get back a decision, confidence score, and explanation.
Modern applications face an ever-growing list of threats. Existing solutions are fragmented, rigid, and expensive.
Existing solutions are often difficult to integrate, rule-based, require constant tuning, limited to a single use case, poor at combining multiple weak signals, and expensive and enterprise-focused. Developers need a simple solution that works immediately.
Shield combines fraud detection, abuse prevention, trust scoring, and AI security into a single platform.
No multiple APIs. No complex orchestration. One
POST
endpoint runs the entire pipeline — heuristics, intelligence, agent
analysis, relationship graphs, LLM reasoning, and memory lookups.
Send what you have. Skip what you don't. Shield fills in the rest.
No required fields. No rigid schemas. Feed Shield whatever signals your application has — it adapts to your data.
Each module targets a specific threat category. Together they cover the full attack surface of modern applications.
Protect account creation flows. Detect bots, fake accounts, multi-account users, trial farming, referral abuse, and automated registrations.
Detect account relationships, duplicate users, and ban evasion. Shield Identity maps the connections between accounts using shared devices, IPs, fingerprints, and behavioral patterns — building a relationship graph that uncovers coordinated abuse and ban evasion.
Analyze user-generated content for spam, scams, automated content, promotional abuse, and malicious messages.
Protect AI products from prompt attacks. Detect injection, jailbreaks, system prompt extraction, tool abuse, and agent manipulation.
Protect against data exfiltration. Detect sensitive data extraction, bulk scraping, credential harvesting, and system information extraction.
Every request flows through four architectural layers, passing through eight analysis stages. Each contributes evidence.
Every analysis module is enabled out of the box. Disable what you don't need for faster responses and lower cost. You control the pipeline.
Shield doesn't hand you a number and walk away. It tells you exactly what to do next.
Shield builds a privacy-safe abuse intelligence network. When one customer identifies bot farms, fraud rings, spam campaigns, or abuse networks — other customers benefit immediately.
This creates network effects that continuously improve detection quality for everyone. The more customers use Shield, the smarter it gets.
Long-term moat. Compounding intelligence. Your fraud today becomes everyone's protection tomorrow.
Plan-based daily limits. Upgrade as your needs grow.
InferencePort AI Shield becomes the default trust infrastructure for modern software. Applications, APIs, AI agents, marketplaces, SaaS platforms, and fintech products send user and request data to Shield before making important decisions.
Shield answers the five questions every application needs:
Can this user be trusted?
Is this account fraudulent?
Is this request safe?
Is this interaction malicious?
Is sensitive information at risk?
InferencePort AI Shield becomes the security and trust layer powering the next generation of internet and AI applications.
Sign in to the console, send a test request, and see Shield in action — no code changes required.