Artificial Immune Systems (AIS)
Detect. Protect. Deny. Deflect.
Just as the human body relies on a complex immune system to protect against external threats, PureCipher's AIS provides a sophisticated multi-layered defense for the digital realm. Modeled after biological immunity, AIS deters cyberattacks, actively combats threats once they've penetrated, and continually refines its defenses against future incursions.
PureCipher's 3 Rules for Trust in AI
Rule #1
AI Must Know It Is Not Human and Be Honest and Transparent
Rule #2
AI Must Be Compassionate Without Causing Dependency
Rule #3
AI Must Refuse Illegal and Harmful Acts
Can You Trust Your AI Today?
Today's AI systems train and perform inferences on unencrypted data, leaving the questions to be asked: Has my data been tampered with? Can I trust my AI's recommendations? Without protection from data poisoning and cyberattacks, AI systems produce unknown outcomes - a critical risk for industries where decisions have real-world consequences.
Four Layers of Trust and Security
A multi-faceted approach integrating foundational technologies into a tiered solution
OmniSeal™ Data Integrity
Identify Threats Before They Strike
OmniSeal™ embeds invisible digital seals within data using steganography, ensuring AI systems only ingest authenticated data. Track provenance and lineage while detecting any tampering attempts before compromised data can alter learning and inference processes.
- Tamper-evident seals embedded in text, images, audio, and video
- Blockchain-based provenance and lineage tracking
- Detects data poisoning and "zombie AI" corruption attempts
- Invisible to human and AI eyes, yet fully verifiable
SecureMCP Trust Fabric
Provable Trust for Multi-Agent Systems
The missing trust layer for the Model Context Protocol. SecureMCP transforms agent runtimes into cryptographically verifiable trust fabrics with machine-verifiable guarantees of lawful execution, non-repudiation, and tamper-evident provenance.
- Pluggable policy engine with role-based access control
- Inter-agent contracts with digitally signed commitments
- Tamper-evident provenance ledger with Merkle proofs
- Reflexive runtime monitoring halts unsafe operations
Fully Homomorphic Encryption (FHE)
The Holy Grail of Encryption
FHE permits computations on encrypted data without prior decryption - enabling true Zero Trust architecture. Based on the quantum-safe CKKS scheme, data remains encrypted throughout its entire lifecycle, eliminating exposure windows during processing.
- Computations performed on encrypted data - never decrypted
- CKKS scheme provides quantum-safe security
- AI models trained and run inferences over FHE data
- Eliminates attack surface during data processing
Noise Based Communication (NBC)
Eliminate the Attack Surface Entirely
NBC ensures messages are never directly exchanged. Instead, high-dimensional noise vectors independent of the data payload are transmitted, making interception meaningless. Adversaries cannot derive any information without access to synchronized functions.
- Messages never directly exchanged - only noise vectors transmitted
- Quantum-resistant: not based on number theory vulnerable to quantum attacks
- Provides deniability - impossible to prove communication exists
- Steganography integration hides communication within decoy images
Multiverse AI Persona
Misdirect Attackers with Intelligent Decoys
Persistent AI identities with domain-specific expertise, contextual memory, and 3D human realization. AI Personas can deflect attacks by providing convincing interactions that misdirect adversaries while protecting real assets and sensitive operations.
- Persistent AI identities with verifiable integrity
- Contextual memory for believable long-term interactions
- Cryptographically sealed behavioral states via OmniSeal™
- SecureMCP enforces authentic and authorized operations
Why AIS Matters
Trusted AI Outputs
Ensure AI recommendations are technically trustworthy by preventing data poisoning
Quantum-Safe Security
FHE and NBC technologies designed to withstand quantum computing threats
Zero Attack Surface
NBC eliminates the attack surface entirely - messages never directly exchanged
Zero Trust Architecture
Data remains encrypted throughout processing with FHE computations
Complete Provenance
Track data origin, transformation, and access history with blockchain
Adaptive Defense
Continuously refines defenses against evolving and novel threats
Example Use Cases
Biometric Identity Verification
Secure AI-driven identity and access management protected from adversarial attacks
Healthcare AI
Protect patient data and ensure AI diagnostic systems remain uncompromised
Critical Infrastructure
Defend AI systems controlling sensitive operations from state-sponsored attacks
Build Trustworthy AI Systems
Developing trustworthy and responsible AI requires security against cyberattacks and data tampering. PureCipher's AIS is the cornerstone for ensuring a secure and prosperous digital landscape.