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Introducing
The Dataparency Entrelid® Framework
Revolutionary multi-patented cybersecurity that disarms hackers completely—making data invisible, pivoting impossible, and unauthorized access mathematically undefined.
Threat Vectors in Multi-Agent Systems
Don't Let HTTP(S) and Web 2.0 Blow Your Entire AI Agent Infrastructure ...Act Now or It Will!!!!
Tool squatting represents just one of the critical emerging threat vectors in multi-agent systems (MAS) where malicious actors employ deceptive representation techniques to gain illegitimate advantages within agent-to-agent (A2A) communication protocols and Model Context Protocol (MCP) implementations. This sophisticated attack methodology exploits fundamental trust mechanisms that enable agents to discover, evaluate, and interact with tools and services within distributed autonomous systems. Understanding these vulnerabilities is essential for security engineers designing robust defenses against adversarial manipulation in increasingly complex agentic architectures.
How Do We Protect Your Agentic Operations?
Read on to find out.
Hackers Utterly Disarmed
Result: A security framework where unauthorized access isn't just prevented - it's mathematically impossible.
The Challenge
Traditional cybersecurity attempts to protect information tied to user identities. Hackers exploit these connections, pivoting through networks once they breach a single point. Even quantum computing threatens to unravel conventional encryption methods.
Legacy systems create attack surfaces through predictable relationships between users, data, and storage locations.
The Entrelid Solution
Entrelid's multi-patented approach creates entity-centric distributed networks where adversaries are fundamentally disarmed. Hackers cannot see data, cannot pivot between resources, and cannot act on any network or user information—even with quantum computing capabilities.
The key innovation: Data is secured to authorized relationships between network entities, not to individual user identities. If you're not part of the relationship, you cannot access the data—period.
Hackers can never get data on more than the entity of the relationship.
All driven by a Distributed Data Network (DDN)
Beyond Identity: Relationship-Based Security
Traditional Approach
Complex algorithms obscure information tied to user identities. Protection relies on encryption layers that can be systematically attacked and reverse-engineered.
Entrelid Innovation
Patented Relationship Distributed Identifiers (RDIDs) secure data to authorized relationships between network entities—a fundamentally different security paradigm.
Zero-Trust Enforcement
Unauthorized parties cannot access data because they lack the relationship context. There's no single point of failure or identity to compromise.
Control the millions of relationships between the AI Agents you build, both internal and externally from MCP sources.
This relationship-centric model eliminates the traditional attack vector of compromising a single user identity. Each relationship exists independently, with no discoverable connection to other relationships in the system.
The Resource Context: Three-Factor Mathematical Security
Entrelid only responds to requests (GET/POST) that contain a Resource Context—a three-layered construct where the absence of any single element makes data location "mathematically undefined."
Layer 1: Entity Authentication
JWT token validation proves the identity of the requesting entity—not a person, but a network entity within the distributed architecture.
Layer 2: Relationship Authorization
The requestor's RDID (Relationship Distributed Identifier) must validate that they are party to an authorized relationship with specific permission scopes.
Layer 3: Storage Key Derivation
The Resource Context contains factors used to mathematically derive the data storage location. Once derived, the Context itself is eliminated—rendering it permanently unavailable to derive the Storage Key.
Missing ANY factor makes the data address literally impossible to compute. The storage location becomes mathematically undefined—not hidden, but genuinely nonexistent without all three layers.
Information Theoretic Isolation
Total Key Isolation
From the Resource Context, Entrelid applies information theoretic principles to derive a storage key that is completely isolated from every other key in the system. Each key exists independently with zero mathematical relationship to any other key.
The result: No basis for pivoting, no reverse engineering path, no discoverable connections. Even if an attacker compromises one key, it provides absolutely no information about any other key in the system.
No Pivot Points
Traditional systems allow lateral movement once breached. Entrelid's isolated keys eliminate this attack vector entirely.
No Reverse Engineering
Information theoretic isolation means there's no mathematical relationship to exploit or unwind.
No Pattern Discovery
Each storage key derives independently, preventing pattern-based attacks or statistical analysis.
Context Elimination: Quantum-Proof by Design
Permanent Destruction of Discovery Paths
Upon creation of the storage key, the Resource Context is permanently eliminated—it no longer exists anywhere in the system. This isn't encryption or obfuscation; it's complete elimination of the derivation path.
The Context cannot be discovered even with quantum computing capabilities because there is nothing left to discover. Quantum computers can potentially break encryption by testing vast numbers of possibilities, but they cannot recover information that has been eliminated from existence.
Resource Context Exists
Three-layer Resource Context created for request
Key Derived
Storage key calculated mathematically
Context Eliminated
Resource Context permanently destroyed
No Recovery Path
Quantum-resistant by design
"There is no unwinding possible. The mathematical foundation for discovering the key simply does not exist."
Layer 1: Entity Authentication
The Who/What: Network Entity Verification
The first security gate validates the identity of the requesting entity through JWT (JSON Web Token) validation. This authentication layer confirms which network entity is making the request—not which person or user.
Critical distinction: Traditional systems authenticate users. Entrelid authenticates distributed network entities. This entity-centric model prevents attackers from exploiting user-based access patterns or social engineering tactics.
  • JWT tokens cryptographically verify entity identity
  • Entity authentication precedes all operations
  • Decoupled from human user identity systems
  • Foundation for relationship validation

Entity vs. User Authentication: By authenticating network entities rather than users, Entrelid creates a security layer immune to credential theft, phishing, and user-targeted attacks.
Layer 2: Relationship Authorization
The Authorized Relationships: RDID Validation
The second layer validates that the requesting entity is party to an authorized relationship with specific permissions. The requestor's RDID (Relationship Distributed Identifier) must confirm participation in a valid relationship before access is granted.
01
RDID Presentation
Requesting entity presents its Relationship Distributed Identifier (RDID)
02
Relationship Validation
System confirms requesting entity is party to the authorized relationship
03
Permission Scope Verification
Relationship authorization controls access permission scope
04
Access Decision
Process continuation granted only if all relationship criteria met
What RDIDs Control
  • Which relationships are authorized
  • Scope of permissions within relationships
  • Entity participation validation
  • Relationship-specific access rights
Security Benefits
  • No single-point compromise
  • Relationship-level isolation
  • Granular permission control
  • Zero-knowledge architecture
Layer 3: Cryptographic Storage Key Derivation
The Where: Mathematically Defined Storage Location
The third layer derives the storage key that mathematically defines the data's physical location within the Distributed Data Network's distributed servers' Data store. The Resource Context key derivation process creates a key that cannot exist without all three layers present.
1
Resource Context Input
Three-layer context provides mathematical foundation for derivation
2
Cryptographic Derivation
Information theoretic principles generate isolated storage key
3
Storage Address Defined
Key mathematically defines unique data location
4
Context Elimination
Source context permanently destroyed post-derivation
"The derivation cannot be reverse engineered, even with quantum computing. Once the Context is eliminated, there is no mathematical path back to the storage location."
Mathematical Impossibility
Without all three layers, the storage location is not hidden or encrypted—it's mathematically undefined. The location literally cannot be computed.
Quantum Resistance
Quantum computers cannot brute-force what has been eliminated from existence. No algorithm can recover the deleted Context.
Mathematical Impossibility vs. Cumbersome Policy - Expected Effectiveness
Beyond Conventional Security Models
Traditional security models rely on cumbersome reverse engineering prevention and policy enforcement alone. These approaches create layers of complexity but ultimately depend on the assumption that adversaries lack sufficient computing power or time to break through defenses.
Entrelid's approach makes unauthorized access to data storage mathematically impossible—not computationally difficult, but genuinely impossible. Without all three layers of the Resource Context, the storage location cannot be computed regardless of available computational resources.
Preparing for Post-Identity Computing
As AI systems become more autonomous and complex, traditional human-designed security frameworks become bottlenecks. Entrelid enables a fundamental shift toward mathematically secure, self-organizing data architectures.
AI agents can create secure data structures without predefined schemas, enabling dynamic security that adapts to emerging requirements.
Mathematical Trust Boundaries
Security guarantees that don't rely on computational assumptions, providing provable security in an uncertain computational future.
Information-theoretic security remains valid regardless of computational advances, future-proofing your security investment and protecting your compliance with privacy laws.

Ready to Transform Your Security Architecture?
Schedule a technical deep-dive session with our team to explore how Entrelid can revolutionize your access control strategy. Access detailed documentation, mathematical proofs, and implementation guides.
LINKS
Dataparency LLC Offices
Novi, MI 48374
Colorado Springs, CO 80906
Information
Timothy Dix, CEO
Development Help
Timothy A. Shear, CTO
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