Credal

Credal is an enterprise platform for securing and governing LLM applications. It protects sensitive data, enforces policies like PII redaction and access control, and provides observability for usage and compliance across various LLM interactions.

LLM application security Data loss prevention (DLP) for LLMs PII redaction Prompt injection prevention LLM policy enforcement LLM usage monitoring LLM cost tracking AI governance Building secure RAG applications Compliance management for AI Content moderation for LLM outputs

Tool Information

Primary Task	Data security
Category	security-and-privacy
Sub Categories	cybersecurity data-privacy compliance-monitoring legal-and-compliance performance-monitoring api-and-development-tools
Founder(s)	Arjun Singh, Shreyas Vasanawala
Country	United States
Launch Year	2023
Industry	information technology & services
Technologies	Route 53, Gmail, Google Apps, Amazon AWS, Google Dynamic Remarketing, DoubleClick, Google Tag Manager, Google Play, Mobile Friendly, Segment.io, YouTube, HeapAnalytics, Ruby On Rails, DoubleClick Conversion, Bootstrap Framework, AI
Website Status	🟢 Active

Credal is an enterprise-grade platform designed to provide robust security and governance for large language model (LLM) applications. It addresses critical concerns for businesses deploying AI, focusing on data protection, policy enforcement, and comprehensive observability. Key capabilities include automatic detection and redaction of sensitive data like PII, PHI, and PCI to prevent data leakage, alongside advanced Data Loss Prevention (DLP) features. The platform enables organizations to define and enforce granular policies, such as access controls, content moderation rules, and usage limits, and offers protection against prompt injection attacks. Credal provides a unified control plane for monitoring all LLM interactions, offering detailed audit logs, usage analytics, and cost tracking, which are crucial for compliance and operational efficiency. It supports flexible deployment options, including SaaS, VPC, or on-premise, and integrates seamlessly with a wide range of LLMs (e.g., OpenAI, Anthropic, Google) and existing enterprise systems. Credal is ideal for enterprises, developers, and security teams looking to build secure Retrieval Augmented Generation (RAG) systems, internal chatbots, and other AI-powered applications while ensuring data privacy, regulatory compliance, and responsible AI usage.

Credal is a technology company that specializes in developing a secure AI agent platform for enterprises. Founded by Jack Fischer and Ravin Thambapillai, the company focuses on enabling organizations to deploy specialized AI agents that work together to manage complex workflows while adhering to governance, risk, and compliance (GRC) policies.

The platform supports a variety of applications, including end-to-end Know Your Business (KYB) workflows, go-to-market automation, security questionnaires, HR and performance management, vendor contract analysis, and customer support automation. Credal acts as a "co-pilot" between users and third-party large language model providers, allowing companies to create AI-powered chatbots tailored to their needs while maintaining control over sensitive data. With backing from investors like Y Combinator and Spark Capital, Credal is well-positioned for growth in the enterprise sector.

Pros
Comprehensive security features (DLP, PII redaction, prompt injection prevention) Robust policy enforcement capabilities Detailed observability and audit trails for compliance Flexible deployment options (SaaS, VPC, on-premise) Broad integration with various LLMs and enterprise systems Designed for enterprise-grade security and governance Helps ensure data privacy and regulatory compliance

Frequently Asked Questions

1. What is Credal?

Credal is an enterprise platform designed to secure and govern Large Language Model (LLM) applications. It protects sensitive data, enforces policies, and provides observability for usage and compliance across various LLM interactions.

2. How does Credal protect sensitive data in LLM applications?

Credal automatically detects and redacts sensitive data like PII, PHI, and PCI to prevent data leakage. It also provides advanced Data Loss Prevention (DLP) features and protection against prompt injection attacks.

3. What kind of policies can Credal enforce for LLM applications?

Credal enables organizations to define and enforce granular policies such as access controls, content moderation rules, and usage limits. This ensures compliant and controlled use of LLM applications within the enterprise.

4. How does Credal help with compliance and observability for LLM usage?

Credal provides a unified control plane for monitoring all LLM interactions, offering detailed audit logs, usage analytics, and cost tracking. This comprehensive observability helps ensure data privacy and regulatory compliance.

5. What are the main benefits of using Credal for enterprise LLM applications?

Credal offers comprehensive security features like DLP and PII redaction, robust policy enforcement, and detailed audit trails for compliance. It helps ensure data privacy and regulatory adherence for enterprise-grade LLM deployments.

6. Does Credal integrate with existing enterprise systems and LLMs?

Yes, Credal offers broad integration with various LLMs and enterprise systems. It also provides flexible deployment options including SaaS, VPC, and on-premise to suit different organizational needs.