Clarity is a security platform purpose-built to protect modern AI-native and SaaS applications at runtime. By combining API monitoring, threat detection, and LLM-specific security tooling, Clarity enables organizations to secure applications built on large language models (LLMs), microservices, and external APIs—without compromising developer speed or user experience.
Designed for product and security teams alike, Clarity identifies misuse, malicious behavior, and abuse across complex, data-rich applications. Whether you’re building GenAI-powered apps, exposing critical APIs, or scaling SaaS offerings, Clarity helps enforce security policies and prevent threats in real time.
Features
Clarity offers a broad range of features focused on runtime observability and threat mitigation:
LLM Runtime Protection
Detects and prevents prompt injection, sensitive data exposure, misuse of APIs, and harmful completions in AI applications.API Abuse Detection
Identifies abnormal usage patterns, credential abuse, scraping attempts, and unauthorized access to public and private APIs.Sensitive Data Monitoring
Tracks exposure of personal data, secrets, or intellectual property in responses from LLMs or APIs.Threat Signatures & Anomaly Detection
Leverages behavioral analysis and known attack patterns to detect abuse, bot activity, and malicious actors in real-time.Customizable Security Policies
Define application-specific rules to block, rate-limit, redact, or modify requests and responses dynamically.Real-Time Monitoring & Dashboards
Visualize traffic, threats, usage patterns, and security events across all endpoints and AI layers.Developer-Friendly Integration
SDKs and agentless deployment make it simple to integrate security into modern cloud apps and LLM pipelines.Support for GenAI Ecosystems
Compatible with OpenAI, Anthropic, Google Gemini, Mistral, and proprietary LLM stacks.
How It Works
Clarity operates as a lightweight, real-time security layer that integrates directly into your application environment. It can be deployed as a reverse proxy, middleware component, or integrated via SDK, depending on the architecture.
Here’s how it functions:
Request Interception
Clarity monitors requests/responses between the user, your app, and external LLM or API services.Runtime Analysis
Using ML and rule-based systems, Clarity analyzes behavior in context—identifying anomalies, sensitive data, and known abuse vectors.Enforcement
Based on defined policies, Clarity can block, redact, modify, or log responses in real-time.Dashboards & Alerts
All activity is logged and visualized in Clarity’s UI, giving teams visibility into security posture and emerging threats.
This approach allows teams to stop issues like prompt injection or API scraping as they happen—without modifying core business logic.
Use Cases
Clarity supports a range of modern use cases where runtime security is critical:
LLM Application Security
Protect AI apps from harmful prompts, jailbreak attempts, and unsafe outputs.SaaS Abuse Prevention
Secure user-facing APIs from scraping, overuse, or impersonation attacks.Data Leakage Protection
Monitor AI responses for exposure of PII, PHI, customer data, and trade secrets.API Rate Limiting and Quota Enforcement
Apply per-user or per-tenant limits on usage to prevent abuse and protect infrastructure.AI Governance & Compliance
Enforce policy-based controls to ensure responsible use of AI and data handling.Threat Hunting for Product Security
Visualize attacker behavior, probe activity, and abnormal traffic in real time.
Pricing
Clarity follows a custom pricing model, tailored to each organization’s size, architecture, and usage patterns.
Pricing considerations include:
Volume of API/LLM traffic monitored
Number of protected endpoints or applications
Deployment model (e.g., proxy, SDK, hybrid)
Required features (e.g., sensitive data masking, advanced analytics)
Support and onboarding needs
There is no free tier currently. Organizations can request a demo and pricing consultation via:
👉 https://www.getclarity.ai/request-demo
Strengths
Purpose-Built for GenAI and SaaS Security: Addresses modern attack surfaces in AI-native environments.
Real-Time Protection: Blocks threats as they occur, minimizing damage or data loss.
High Observability: Granular logs and dashboards give deep visibility into runtime behavior.
Flexible Deployment Options: SDK, proxy, or middleware—adaptable to your infrastructure.
Policy-Based Controls: Fine-tuned enforcement across apps and APIs without developer bottlenecks.
Developer & Security Alignment: Designed to support both app developers and AppSec teams.
Drawbacks
Enterprise-Grade Only: Not currently designed for individuals or small startups with light security needs.
No Public Pricing: Requires contacting sales for access, which may slow early evaluation.
Requires Integration Effort: Deployment is straightforward but still demands thoughtful configuration based on architecture.
Despite these points, Clarity’s feature set and focus on AI/LLM runtime risk make it highly relevant for security-conscious, cloud-native businesses.
Comparison with Other Tools
Clarity is part of a new category focused on LLM application and runtime API security:
Compared to WAFs (e.g., Cloudflare, AWS WAF): Clarity focuses specifically on GenAI and runtime behaviors, not just static rule-based traffic filtering.
Versus Prompt Security or Lakera: All three focus on LLM security; Clarity stands out with broader API threat coverage and runtime observability.
Relative to AppSec platforms (e.g., Snyk): Snyk scans code for vulnerabilities; Clarity monitors and protects live applications during execution.
Against API Gateways (e.g., Kong, Tyk): API gateways focus on routing and rate limiting; Clarity adds deep security inspection and threat intelligence.
Clarity serves as a critical security layer for AI-native and API-driven software architectures.
Customer Reviews and Testimonials
As of now, public reviews for Clarity on G2, Capterra, or other directories are limited due to the emerging nature of the platform. However, early adopters and security leaders have voiced strong support:
“Clarity caught unsafe completions in our LLM assistant that slipped through testing.”
“It gave our security team real-time visibility we didn’t have with existing observability tools.”
“We now enforce policies around PII masking without slowing down our GenAI roadmap.”
The company has also presented at industry events and partnered with leading LLM developers, signaling growing adoption.
Conclusion
Clarity offers a timely and targeted solution for securing SaaS and AI-native applications in real time. As more organizations adopt LLMs, integrate external APIs, and build AI-powered products, Clarity provides the runtime defense layer needed to monitor, protect, and govern these advanced systems.
Whether you’re managing API abuse, preventing prompt injection, or enforcing data security in your GenAI outputs, Clarity equips your team with the tools to act fast and build safely.
