Core Technology

Core Technology

Cryptographic and transport foundations behind Attestik

Attestik pairs deterministic encoding, signature verification, and transport-aware embedding to keep claims intact from origin to playback.

Challenges

What teams face today

Security models are often under-specified between encoding, transport, and player verification.
Verification logic diverges across teams, creating inconsistent enforcement behavior.
Protocol upgrades can break compatibility without strong versioning discipline.
Risks

What happens without action

Silent signature or chain validation failures in distributed systems.
Parsing inconsistency across codecs and container pathways.
Operational drift between spec and production implementations.
Outcomes

What success looks like

Deterministic byte-level verification behavior.
Consistent transport bindings across major delivery protocols.
Versioned interoperability with clear conformance levels.
How It Works

How to execute

1

Standardize wire format

Use strict frame headers, canonical payload encoding, and explicit signature inputs.

2

Align transport profiles

Map SIP payload carriage for SEI, OBU, and manifest/metadata pathways.

3

Codify conformance

Define validation procedures and profile levels for reliable cross-vendor behavior.

Capabilities

Ed25519 signature model

Compact signatures with fast verification for stream-scale workloads.

Deterministic CBOR payloads

Canonical serialization eliminates signer/verifier byte mismatch classes.

Frame lifecycle model

Full, delta, and heartbeat frames balance verification depth and runtime overhead.

Evidence
SIP v1.0.1 defines normative transport and verification procedures with explicit invariants.
Common Objections

Frame cadence is tunable with compact delta/heartbeat modes for practical production budgets.

Frequently Asked Questions

Yes. SIP verification can run in middleware, gateways, and player applications.

Want a protocol-first architecture review?

Talk to the Attestik team, then route implementation into platform.framebright.ai when you are ready.