SWEAR operates alongside the camera pipeline, not inside the file. During capture, it collects trusted metadata such as sensor ID, device signature, location, timestamp, and motion state. It uses this information—together with frame- and audio-level data—to generate a cryptographic fingerprint of the recording. That fingerprint is then anchored to a permissioned blockchain ledger, producing an immutable proof-of-original record. When the file is later reviewed, SWEAR re-fingerprints the video and performs a deterministic comparison that returns a binary result: Authentic or Not Authentic.

No. SWEAR never embeds anything into the video or changes the file in any way. The media remains pristine and unmodified. SWEAR generates and stores a separate proof record—consisting of hashes and metadata—cryptographically linked to the video. This means no visible watermark, no invisible tag, and no impact on playback or file compatibility. SWEAR’s proof exists independently, making it tamper-evident yet fully privacy-preserving.

Proof of original is digital evidence that a piece of content is genuine. It’s created automatically at the time of capture and includes:

• Cryptographic fingerprints derived from the video and audio streams
• Contextual metadata from the device (time, location, sensor ID, etc.)
• Secure digital signatures and timestamps

These elements combine to make each recording uniquely verifiable forever. When re-validated, the proof confirms whether the content remains intact or has been modified in any way.

 SWEAR can collect and process over one hundred data signals from a device at capture, including sensor IDs, time, location, motion, ambient light, orientation, and network conditions. These signals are fused with hashes of the video and audio data to produce a set of cryptographic fingerprints. Each fingerprint is digitally signed, time-bound, and anchored to a permissioned blockchain ledger managed by the OEM or enterprise partner.

This architecture ensures:

• The proof cannot be silently modified or deleted
• The video file itself is never transmitted or exposed
• The relationship between the proof and the original capture remains mathematically verifiable indefinitely

When validation is requested—whether minutes or years later—SWEAR re-fingerprints the video file and compares that result to the original proof in the ledger. If they match, the video is confirmed Authentic; if not, the validation returns Not Authentic. This pass/fail output removes interpretation and subjectivity, delivering a simple, defensible answer suitable for legal, regulatory, or journalistic contexts.

Detection tools and watermarking schemes work after the fact. They attempt to infer or signal whether something might be synthetic. SWEAR works before manipulation is possible—at the moment of capture.

• AI detection = probabilistic guesswork after creation
• Watermarks = visible or invisible markers that can be stripped or spoofed
• SWEAR = cryptographic proof anchored at capture, impossible to fake or remove

This proactive model prevents disputes rather than analyzing them later.

 SWEAR is designed for offline-first reliability. When a device lacks connectivity, proofs are generated and securely stored locally. Once a connection is re-established, the proofs are anchored to the ledger automatically. Each includes a trusted timestamp, maintaining full provenance and a complete chain of custody even when recorded in disconnected or air-gapped environments.

No. SWEAR never transmits or stores the actual video, nor does it collect personal user data. Only non-visual, non-personal metadata and derived hashes are processed. The proof is designed to protect privacy while preserving verifiability. This allows deployment in privacy-critical domains such as law enforcement, healthcare, national security, and enterprise compliance.

SWEAR is engineered for real-time efficiency. Proof data is extremely small—typically only a few megabytes per hour of video—making it suitable for continuous mobile operation without affecting capture speed, device storage, or battery performance. This lightweight design enables large-scale OEM deployments across billions of handsets.

SWEAR is flexible and modular. It can be deployed at three levels of integration:

• Chipset / Silicon: embedded inside secure enclaves or trusted execution environments for root-of-trust authenticity
• OS / Firmware: integrated directly into the camera pipeline to make proof of original a standard capture feature
• Application / SDK: implemented through SWEAR’s SDKs or APIs for field, reporting, or inspection apps

This layered approach lets OEMs, platform providers, and app developers choose the depth that matches their control of the hardware or software stack.

SWEAR uses permissioned blockchain technology—often Hyperledger Fabric—to record and manage proofs. This model enables each OEM, platform, or enterprise to host its own ledger instance, maintaining full sovereignty and compliance while benefiting from immutable audit trails. The ledger stores proof data only; no video content ever resides on-chain.

Any alteration—whether a single frame edit, color correction, audio change, or recompression—breaks the mathematical relationship between the video and its proof. Validation immediately fails, signaling that the file no longer matches its original capture. SWEAR makes tampering not just detectable, but provable.

SWEAR does not directly implement or comply with the C2PA standard, but it complements it. C2PA establishes transparency about content after creation through credentials and labeling. SWEAR provides verifiable proof at capture, before any editing or transmission occurs. Together, these approaches create a complete provenance chain—from point of origin to point of display.

Yes. SWEAR integrates with industry-leading VMS platforms like Milestone XProtect, allowing authenticity validation directly within the playback interface. This eliminates the need for file exports or external verification tools and maintains a closed, secure chain of custody for video evidence.

SWEAR is gaining adoption in sectors where video authenticity is mission-critical:

• Security and Public Safety: body-worn and surveillance video validation
• Insurance and Warranty: remote inspection and fraud prevention
• Media and Journalism: source verification and content authentication
• Industrial Operations: safety audits and compliance recording
• User-Generated Content Platforms: distinguishing genuine human capture from synthetic media

Yes. SWEAR’s architecture is inherently distributed and horizontally scalable. Proof generation can be parallelized across capture hardware and synchronized with regional or global ledger instances. This enables deployment across entire OEM fleets, telecom networks, and developer ecosystems.

Watermarks can be stripped, signatures can be copied, and AI detection can be deceived. SWEAR’s proof-of-original is cryptographically linked but physically separate from the media. It cannot be forged, transferred, or removed. This independence gives it evidentiary weight and technical resilience unmatched by traditional approaches.

Begin by requesting a Developer Brief or accessing the SWEAR SDK Portal. SWEAR’s integration team will help identify where proof generation belongs in your capture architecture—chipset, OS, or application—and assist with sandbox testing, performance validation, and compliance verification.

 AI-generated video and synthetic media are eroding public trust in visual evidence. SWEAR provides the missing infrastructure to prove truth at capture—ensuring that mobile recordings used in journalism, law, safety, and commerce can be trusted without debate. It’s not about analyzing fakes later; it’s about preventing doubt from the start.