@EdgeOfSourcei
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Developer data management for an edge-first world
at the edge
Joined January 2025
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DefraDB is natively P2P: conflict-free writes, long offline periods, seamless re-sync. Built for decentralized deployments.
Find out more: docs.source.network
#Source #DefraDB #EdgeAI
DefraDB won't align a superintelligence. Nobody can do that with a database.
But control of what AI touches is real and buildable today: every read policy-checked, every write signed and tamper-evident, access revocable per record.
Start with the control you can enforce: docs.source.network
"Human in the loop" means nothing if the loop can't see or stop what the AI touches.
Real control is 4 questions:
- what can it read
- what can it write
- can you prove what it did
- can you revoke it now
We ship agents with root and no audit log. How many do you have?
"AI kills everyone" isn't a robot that hates you. It's loss of control: a system that can act, with access it should never have had, faster than you can stop it.
The danger was never intelligence. It's reach.
Who can revoke your agents' access today, and how fast?
Server goes down, local network stays up? DefraDB's cryptographically verifiable log replays every change when the connection returns. No lost writes.
Find out more: docs.source.network
#Source #DefraDB #EdgeAI
Anthropic's own researchers this month: >10% chance AI causes human extinction within the decade. One said "next few years."
These are the people building it. The optimists.
What odds would you accept on a bridge? A plane? Your own product?
Your AI has your access. That's the whole problem.
Zero-click leaks, over-permissioned agents, 'prompt injection' — different headlines, one root cause. And one fix: enforce access at the data layer.
45s breakdown 👇
docs.source.network
#AIsecurity #PromptInjection #DefraDB
For twenty years the cloud buried its complexity under one API call, so it felt simple. The edge only looks hard because nobody has buried its complexity yet. What in your stack is actually simple, and what is just abstracted?
Every write in DefraDB ties a verifiable identity to verifiable access control — a full, tamper-evident history of your database, out of the box.
Find out more: docs.source.network
#Source #DefraDB #EdgeAI
Almost every AI leak has one root: access lives in the app, so the AI inherits your access. DefraDB moves the rule down to the data layer: every doc carries its own policy, checked on every read. Prompt injection can't leak what the DB won't serve. docs.source.network
We have ~3 years left before agent swarms and AI robotics reshape everything. Current frameworks aren't secure enough for incident analysis. #DefraDB secures data at the database layer with traceability, governance, and attribution built in. docs.source.network/defradb
Every few weeks: another 'prompt injection' leak. A hidden prompt in a PR, a support bot dumping records. Same bug, new clothes. The AI can touch the data, so tricking the AI gets the data. Where does your system decide who can read a record: the app, or the database?
63% of companies say they can't stop an AI agent from reading unauthorized files. Give a support agent access to draft replies and it can also read the card on file. Same system, no wall. We hand AI the master key. How many doors does your AI actually have keys to?
Offline-first, for real: hole-punching P2P plus a verifiable audit log that replays safely when you reconnect. DefraDB's two secret weapons.
Find out more: docs.source.network
#Source #DefraDB #EdgeAI
Microsoft Copilot's EchoLeak bug leaked internal data from a single email. Zero clicks. Copilot didn't hack anything, it used the access it already had. The AI inherited your keys. What can your AI read right now that you'd panic about a stranger asking for?
The best way to not expose your sensitive data? Access control at the data layer.
#DefraDB does it better
docs.source.network/defradb
For thirty years your database refereed every write conflict for you. At the edge, that referee is gone, and AI agents don't take turns. What breaks when ten agents write the same record at once, and what has to live in the data instead?
When two agents write the same record at the same time, most databases quietly pick a winner and lose the other write. DefraDB doesn't. It uses merkle CRDTs, so both writes survive and merge into the same state once the agents sync, even if they were offline. No referee. No clock-time coin flip. See how it works, with the before-and-after for that "shipped vs cancelled" case: docs.source.network