The startup develops end-to-end encryption software that enables enterprises to implement customer-managed keys, ensuring that private keys remain on client devices while data is secured during transfer and storage. This technology allows organizations to store sensitive information in the cloud without exposing it to security risks.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
TV+1Founders
Product
Problem
Cloud applications and AI systems face increasing threats from hackers, insider attacks, and misconfigurations, leaving sensitive data vulnerable to theft and misuse. Traditional perimeter security measures are often insufficient to protect data stored in databases, search services, and AI vector databases. Compliance with evolving data privacy regulations like GDPR and CCPA adds further complexity to data protection efforts.
Solution
IronCore Labs provides application-layer encryption and data control solutions that enable organizations to protect sensitive data within cloud applications and AI systems. The company's products, including SaaS Shield, Cloaked AI, and Cloaked Search, offer a defense-in-depth approach by encrypting data at the application layer, ensuring that it remains protected even if underlying infrastructure is compromised. IronCore Labs' solutions support customer-managed keys (CMK), allowing customers to maintain control over their encryption keys and data access. The platform integrates with existing cloud environments and data stores, providing a seamless way to implement data protection and comply with privacy regulations.
Target Audience
IronCore Labs targets SaaS providers, enterprises, and developers who need to protect sensitive data in cloud applications, AI systems, and search services, and comply with data privacy regulations.
Features
- **SaaS Shield:** Enables per-tenant encryption and key management for multi-tenant SaaS applications, with options for BYOK/HYOK and real-time audit trails.
- **Cloaked AI:** Protects sensitive AI data in vector databases by encrypting vector embeddings while preserving search functionality.
- **Cloaked Search:** Secures Elasticsearch and OpenSearch with drop-in, multi-tenant, searchable encryption, protecting PII and other sensitive data.
- **Data Control Platform:** Provides developer tools to build minimal trust, zero-trust, and end-to-end encrypted applications with provable access, monitored use, and revocation capabilities.
- **Application-Layer Encryption (ALE):** Encrypts data before it is stored, protecting it from network breaches, cloud misconfigurations, and application vulnerabilities.
- **Key Orchestration:** Simplifies key management with support for key leasing, rotation, and segmentation, as well as KMS integrations with Thales, Google Cloud KMS, AWS KMS, and Azure Key Vault.
- **Crypto-Agility:** Allows for easy changing of cryptographic algorithms, key sizes, and KMS integrations over time.
- **Data Sovereignty:** Enables data residency restrictions by controlling decryption based on region or cloud environment.