Discover the zero-trust cryptographic frameworks, confidential enclave runtimes, zero-knowledge verifiers, and AI orchestration engines powering DISHA 4.0 HCOS.
Select a stage to inspect its technology stack, latency benchmarks, and code specification.
Attribute-Based Access Control (ABAC) and Role-Based Policy Gates enforce identity at the network boundary. Cryptographic tenant identity verification and token lifecycle management ensure zero-trust ingress.
// Stage 1 PIL — Policy Gate Invocation
const policyFrame = await pilGate.enforce({
tenantId: "tenant_abc123",
requestedScope: ["enclave:read", "zkpg:verify"],
identityToken: jwtToken,
abacAttributes: { clearanceLevel: 3, region: "IN" }
});
// Returns: { granted: true, policyHash: "0xA3F..." }Six foundational technology pillars driving the DISHA 4.0 HCOS runtime.
Stage 1 Access Gates
Attribute-Based Access Control (ABAC) and Role-Based Policy Gates enforce zero-trust identity at every network boundary. Decoupled cryptographic tenant identity verification with full token lifecycle management.
Stage 2 Auditability
Immutable audit trails with cryptographic proof logging for every system transaction and state transition. Merkle-Tree integrity via Poseidon BN254 hash sponge ensures tamper-proof evidence aggregation.
Stage 3 Confidential Computing
Hardware-enforced isolation powered by Trusted Execution Environments (Intel SGX / AMD SEV). Zero-trust execution guarantees for sensitive enterprise data with in-memory AES-256-GCM protection.
Stage 4 Deterministic Execution
High-performance deterministic state machine for institutional workflows. Asynchronous event routing with distributed event delivery, guaranteed delivery mechanics, and append-only ledger anchoring.
Stage 5 Privacy & Verification
Non-Interactive Zero-Knowledge Proofs (NIZKPs) enable cryptographic verification of compliance and logic without exposing raw data. Groth16 circuits provide instant verifiable computation for partners and auditors.
Dynamic AI Routing
Map-Reduce model worker engine combining OpenAI, Anthropic, Google Gemini, and Llama APIs in parallel. Sub-400ms Time-to-First-Token (TTFT) streaming with background verification nodes and speculative execution.
Verified performance statistics across all HCOS runtime stages and AI orchestration layers.
Benchmarks measured under sustained production load on reference hardware (32-core AMD EPYC, 256 GB ECC RAM, NVMe SSD). Results may vary by deployment configuration.