Prompt Security is a modern security platform built to protect AI-powered applications—specifically those that integrate Large Language Models (LLMs)—from emerging threats like prompt injection, data leakage, and adversarial misuse. As organizations increasingly embed generative AI into their products and services, Prompt Security offers purpose-built tooling to mitigate the risks that come with it.
Designed for security and development teams, Prompt Security enables proactive monitoring, input/output validation, real-time detection, and policy enforcement within GenAI pipelines. Whether your app is built on OpenAI, Anthropic, Mistral, or proprietary models, Prompt Security ensures safe and compliant deployment across your stack.
Prompt Security provides the necessary guardrails to support responsible AI development without slowing down innovation.
Features
Prompt Security includes a comprehensive set of security and observability tools for LLM-integrated applications:
Prompt Injection Protection
Detects and blocks malicious prompts attempting to manipulate LLM behavior or override system instructions.Sensitive Data Detection & Masking
Monitors LLM outputs for PII, PHI, secrets, and company-sensitive data. Automatically masks or redacts as configured.Real-Time Monitoring & Alerts
Provides full observability into prompt activity and LLM responses across applications, with customizable alerting.Policy Enforcement Engine
Define usage rules and controls over what content LLMs can generate or return (e.g., block hate speech, IP leakage, or hallucinations).Input/Output Filtering
Inspects and filters prompts or completions using AI classifiers and pattern-based logic.Security Posture Dashboard
Visual insights into prompt risk exposure, top prompt categories, and LLM usage trends.Developer-Friendly APIs and SDKs
Integrates seamlessly into existing AI applications or internal tooling with low-code setup.Multi-Model Support
Works with OpenAI, Anthropic, Google Gemini, Mistral, Cohere, and private-hosted models.
How It Works
Prompt Security functions as a middleware layer between your application and the LLM API or backend model. It intercepts prompts and completions in real-time to apply its security logic.
Integration
Add the Prompt Security SDK or configure your LLM proxy via API gateway/middleware.Monitoring
All prompts and completions are inspected for risks—such as prompt injection, data exposure, or policy violations.Enforcement
If threats are detected, policies are enforced automatically. Actions include redaction, blocking, alerting, or replacing content.Reporting
Security events, trends, and user behaviors are aggregated into a visual dashboard for analysis.
This real-time observability and control enables AI application teams to deploy GenAI safely, at scale.
Use Cases
Prompt Security is essential for organizations building or integrating LLMs into their products, such as:
AI SaaS Platforms
Secure AI copilots, assistants, or chatbots embedded into customer-facing applications.Enterprise GenAI Adoption
Protect internal users interacting with LLMs from data leakage or compliance violations.Healthcare and Finance Applications
Prevent accidental disclosure of PII or regulated data in generated outputs.DevOps & Internal Tools
Secure usage of GenAI in operational tools, wikis, and internal copilots.Regulated Industries
Enforce safe usage policies and content filters in accordance with HIPAA, GDPR, or SOC 2 requirements.Prompt Engineering Teams
Analyze risky prompt patterns and test security coverage in development.
Prompt Security helps bridge the gap between AI innovation and organizational security obligations.
Pricing
Prompt Security offers custom pricing tiers based on usage volume, features, and deployment environment.
Key pricing factors include:
Number of prompts per month
Model providers used (e.g., OpenAI, local models)
Required features (e.g., output filtering, redaction, alerting)
Deployment model (cloud vs. self-hosted)
Support level and SLAs
As of now, pricing is not publicly listed. Interested teams can book a demo and request a tailored quote via:
👉 https://www.prompt.security/request-demo
Strengths
Purpose-Built for LLM Security: Unlike generic application security platforms, Prompt Security focuses exclusively on generative AI risks.
Flexible Deployment Options: Offers SDKs, proxies, and API-first workflows for integration flexibility.
Granular Policy Control: Custom policies make it easy to adapt security to industry and brand standards.
Model-Agnostic Compatibility: Supports leading commercial and open-source models.
Real-Time Observability: Security teams get instant visibility into prompt patterns and risky completions.
Low Friction for Developers: Designed to integrate easily with existing LLM applications.
Drawbacks
No Public Pricing: Enterprises must go through a sales process for access and evaluation.
New Category, Evolving Standards: As LLM security is an emerging space, best practices and tooling may still be maturing.
Limited Public Case Studies: While rapidly growing, Prompt Security’s customer base is still developing public reference content.
Nonetheless, for companies serious about secure AI deployment, Prompt Security offers one of the most advanced and focused solutions available.
Comparison with Other Tools
Prompt Security competes in a niche but rapidly growing segment of GenAI application security:
Compared to Cloudflare or API Gateways: Prompt Security goes beyond traffic inspection to understand LLM-specific risks like prompt injection or data hallucination.
Versus LangChain/Guardrails AI: Those provide developer-focused prompt templates and validation; Prompt Security focuses on real-time monitoring and enforcement.
Relative to AppSec Platforms (e.g., Snyk, Prisma Cloud): Prompt Security complements but does not replace traditional AppSec tools, as it is LLM-specific.
Against Open Source Filters: Prompt Security offers enterprise-grade scalability, dashboards, and model-agnostic controls that go beyond simple regex-based filters.
Its unique focus on securing LLM pipelines makes it a valuable layer in any GenAI infrastructure.
Customer Reviews and Testimonials
As of this writing, Prompt Security is actively gaining traction in the AI security space. While public reviews on G2 or Capterra are not yet available, industry leaders and early adopters have shared strong endorsements in webinars, social media, and partner ecosystems.
Typical feedback includes:
“Prompt Security helped us deploy GenAI faster without worrying about sensitive data leaks.”
“The alerting and dashboards gave our SOC team exactly what they needed to monitor AI risks.”
“It’s the missing layer between developers and security in the LLM stack.”
Prompt Security has also partnered with cloud-native security platforms to enhance GenAI governance.
Conclusion
Prompt Security is a critical solution for securing LLM-powered applications in a world where generative AI is becoming ubiquitous. With powerful tools to detect, prevent, and manage prompt-related threats and content risks, Prompt Security enables organizations to innovate responsibly while maintaining full control over AI outputs.
Whether you’re building customer-facing AI tools or deploying internal copilots, Prompt Security ensures that your LLM usage aligns with your company’s security, privacy, and compliance goals.
