Self-Protecting Data Platform
Data protection platform embedding security within data using fragmentation
Self-Protecting Data Platform
Data protection platform embedding security within data using fragmentation
Data verified May 2026
ADYour product here. Reach security decision-makers.Launch a campaignSelf-Protecting Data Platform Description
Self-Protecting Data Platform (SPDP) is a data security solution that embeds protection mechanisms directly within data rather than relying on perimeter defenses. The platform uses Shamir's Secret Sharing to fragment data into geo-distributed shards, making unauthorized reconstruction difficult without proper authorization. The system implements dynamic encryption with continuously rotating layers including AES-256, post-quantum cryptography (PQC), and fully homomorphic encryption (FHE). Data processing occurs only in secure, verified environments following zero-trust principles. When threats are detected, the platform can trigger "Flee Mode" which relocates infrastructure using Terraform and Kubernetes, while activating HoneyBots to monitor and analyze attacker behavior. This autonomous response mechanism enables data to self-secure, heal, and relocate when under threat. The deployment roadmap includes three phases: API-based protection for SQL and NoSQL databases (current), full integration with software-defined infrastructure in 2026, and introduction of quantum-resistant encryption between 2026-2027. The platform addresses security challenges including weak infrastructure, insider threats, outdated software vulnerabilities, and social engineering attacks by shifting the security model from external defenses to data-centric protection.
Self-Protecting Data Platform FAQ
Common questions about Self-Protecting Data Platform including features, pricing, alternatives, and user reviews.
Self-Protecting Data Platform is Data protection platform embedding security within data using fragmentation, developed by Matter-ID. It is a Data Protection solution designed to help security teams with Database Security, Encryption, Quantum Safe.
Self-Protecting Data Platform offers the following core capabilities:
1.Algorithmic data fragmentation using Shamir's Secret Sharing
2.Dynamic encryption with AES-256, PQC, and FHE
3.Zero-trust execution environment for data processing
4.Autonomous infrastructure relocation via Flee Mode
5.HoneyBot deployment for attacker behavior analysis
6.API-based protection for SQL and NoSQL databases
7.Geo-distributed data shard storage
Self-Protecting Data Platform is deployed as a hybrid solution, suited to mid-market, enterprise organizations looking to operationalize data protection. The commercial offering is positioned for production security operations with vendor support and SLAs.
Self-Protecting Data Platform is built for security teams handling Database Security, Encryption, Quantum Safe. It supports workflows including algorithmic data fragmentation using shamir's secret sharing, dynamic encryption with aes-256, pqc, and fhe, zero-trust execution environment for data processing. Teams typically adopt Self-Protecting Data Platform when they need to data protection capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/self-protecting-data-platform
Self-Protecting Data Platform is a commercial Data Protection solution. For detailed pricing information, visit https://matter-id.com/self-protecting-data-platform/ or contact Matter-ID directly.
Popular alternatives to Self-Protecting Data Platform include:
1.IBM Guardium - Enterprise data security platform for discovery, protection, and compliance (Commercial)
2.SecuPi Proactive Data Security Platform - Data security platform for real-time protection of sensitive data access (Commercial)
3.SecuPi Proactive DAM - Database activity monitoring solution for cloud and on-premises databases (Commercial)
4.Sotero Data Security Platform - Data security platform providing in-use encryption for databases and apps (Commercial)
5.Mirror Security Vector Intelligence Platform - FHE-powered vector database security platform for AI/LLM data protection (Commercial)
Compare all Self-Protecting Data Platform alternatives at https://cybersectools.com/alternatives/self-protecting-data-platform
Self-Protecting Data Platform is for security teams and organizations that need Database Security, Encryption, Quantum Safe. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Data Protection tools can be found at https://cybersectools.com/categories/data-protection
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