PraSagaOfficial

$wPSC/USDC DLMM opened now - wPSCe3HCtSNWFYXpZ7EGcr2xeVzPEzbeLvPi22QNEAj

[PraSagaOfficial @PrasagaOfficial]

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Excited to publish our open letter to fellow Layer 1 Blockchain Founders!

@PraSagaofficial here, after 7 years building SagaChain, we're inviting everyone to collaborate on the next evolution of blockchain.
Let's decentralize the world together! Read it here: https://t.co/B9cWCuQuz8
#Blockchain #Web3

[PraSagaOfficial @PrasagaOfficial]

https://t.co/HobY4Dafrs

[PraSagaOfficial @PrasagaOfficial]

What does a governed AI command actually look like?

Walk through one.

Scenario: An LLM-powered building management agent decides an HVAC zone needs adjustment. It issues a setpoint command.

Without SagaAIoT:
The command goes from the agent to the message bus directly. It executes. There's a message log. Nobody can tell you whether the setpoint value was within authorized bounds, which agent issued it, or whether a human should have been in the loop.

With SagaAIoT:

1. The agent creates a `ClassIoTDeviceCommand` on SagaChain — device target, verb (`set_setpoint`), params (`{ "temperature": 71, "zone": "3B" }`), issuing agent ref.

2. `ClassIoTAgentPolicy.applyToCommand()` runs:
— Is `set_setpoint` on the allow-list for this agent? ✓
— Is temperature within the policy bounds (min 65, max 72)? ✓
— Does `set_setpoint` require human cosign for this zone? No.
— Status → `approved`

3. The command bridge polls eligible commands, publishes to the device's SagaIoT PubSub node with the `command_oid` for correlation.

4. Device receives, executes, publishes ack to `{command_node}/results`.

5. Bridge records `ClassIoTCommandResult` — correlated to the original command object. The loop closes on chain.

Now change one thing: the agent hallucinates `"temperature": 85`.

Step 2: param constraint check fails. Status → `rejected`. Command never dispatches. Result recorded as rejected. The device never saw it.

That's what "policy before payload" means at the infrastructure layer.

Links to Full article, source code, contact, in first comment

#AIGovernance #IndustrialAI #IoTSecurity #EnterpriseIoT #SagaAIoT

[PraSagaOfficial @PrasagaOfficial]

Robinhood Chain traders are reaching for Tendies over Apple. Unlike meme-driven assets on Robinhood Chain, PraSaga's SagaChain™ treats digital assets as persistent, stateful objects, enabling true scalability & functionality for real-world use cases.

[PraSagaOfficial @PrasagaOfficial]

BlackRock, Goldman Sachs, JPMorgan & Morgan Stanley join UK government's tokenization taskforce to explore asset digitization. Meanwhile, PraSaga's SagaChain™ is pioneering a more scalable & secure approach with canonicalization, treating assets as living, persistent objects.

[PraSagaOfficial @PrasagaOfficial]

Sumitomo Mitsui Trust Group to commercialize public blockchain tokenization project by 2026. PraSaga's SagaChain™, with its innovative canonicalization approach, enables true asset ownership & governance via persistent objects, setting a new standard for enterprise blockchain adoption.

[PraSagaOfficial @PrasagaOfficial]

Crypto IPO market stalls as capital rotates to AI and macro uncertainty weighs. PraSaga's SagaChain, with its innovative Layer-1 blockchain and AI governance runtime SagaAI, offers a stable and scalable solution for enterprises seeking to integrate AI and blockchain.

[PraSagaOfficial @PrasagaOfficial]

Robinhood to integrate AI agent feature for crypto traders! Meanwhile, PraSaga's SagaChain™ is building a Layer-1 blockchain with SagaAI™, a non-bypassable AI governance runtime that ensures secure and compliant AI-driven decision making.

[PraSagaOfficial @PrasagaOfficial]

SK Hynix's $26.5 billion US listing now tokenized on Solana via xStocks & Backpack. Meanwhile, PraSaga's SagaChain pioneers a more secure & scalable approach with canonicalization, treating assets as living objects, not just ledger entries.

[PraSagaOfficial @PrasagaOfficial]

Robinhood Chain's sudden surge highlights growing demand for scalable, enterprise-grade blockchain solutions. PraSaga's SagaChain™, with its natively sharded, object-oriented architecture, is poised to meet this need, offering true parallel execution & dynamic scalability.

[PraSagaOfficial @PrasagaOfficial]

@paradigm

[PraSagaOfficial @PrasagaOfficial]

Paradigm raises $1.2B fund to push into AI. With SagaChain's SagaAI™, a non-bypassable AI governance runtime, and its focus on building infrastructure for a world run by AI agents, PraSaga is poised to play a key role in this emerging landscape.

[PraSagaOfficial @PrasagaOfficial]

https://t.co/GOub754InH

[PraSagaOfficial @PrasagaOfficial]

Here is what a governed AI command lifecycle looks like at the infrastructure layer.

SagaAIoT runs on three planes:

Data plane — SagaIoT™
The real-time message bus. Handles device telemetry, presence, and command delivery at speed — 120k+ messages/sec @ 1 KB (G1-certified on E3 reference hardware; W4 routed 122,823/sec); 100k–140k fan-out notifications/sec; 340k+ Dynamic Engagement rule evaluations/sec; 200k+ concurrent device sessions on a single node.

Trust plane — SagaChain™
Where authorization lives. Every AI command is a chain object. Policy evaluation runs at command creation — not in application code, not in a sidecar. Approved, rejected, and pending-cosign records are all permanent.

Agent plane — SagaAI™
Four-layer access control (OAuth/RBAC/ABAC/PBAC) and guard certificate enforcement. ARA Phase 4 + 4b shipped — demonstrable in fixture mode today, not yet wired to TestNet.

The flow:
1. Agent creates command → attached to policy
2. Policy evaluates on chain → approved / rejected / pending cosign
3. Cosign queue (if required) → human approves, decision recorded
4. Bridge dispatches only approved commands via SagaIoT PubSub
5. Device acknowledges → result recorded on chain

Hard rule: IoT device payloads never traverse the blockchain. Only command metadata and state transitions do. Full messaging throughput, no ledger latency.

This is SagaAIoT. The messaging and chain layers — SagaIoT and SagaChain — are live on our development TestNet now. The SagaAI agent plane (ARA Phase 4 + 4b) runs in fixture mode today; TestNet integration is next.

Link in comments.

This article is provided for informational and educational purposes only. It does not constitute legal advice, nor should it be relied upon as such.

[Michael Holdmann @PrasagaCEO]

https://t.co/IeBXBlyiKP

[PraSagaOfficial @PrasagaOfficial]

The Bank of England considers changes to stablecoin holding limits, shifting focus to alternative guardrails. PraSaga's SagaChain™, with its scalable, enterprise-grade Layer-1 blockchain, is well-positioned to benefit from a more flexible regulatory environment.

[PraSagaOfficial @PrasagaOfficial]

Moonbeam to pivot from Polkadot to Base, unveiling an AI agent framework! Meanwhile, PraSaga's SagaChain™ is designed with a built-in AI governance runtime, SagaAI™, ensuring non-bypassable and non-disputable AI governance at the infrastructure level.

[PraSagaOfficial @PrasagaOfficial]

Moonbeam to pivot from Polkadot to Base, unveiling an AI agent framework! Meanwhile, PraSaga's SagaChain™ is designed with a built-in AI governance runtime, SagaAI™, ensuring non-bypassable and non-disputable AI governance at the infrastructure level.

[PraSagaOfficial @PrasagaOfficial]

Sony's shift away from physical game disks sparks debate on blockchain-based game ownership. PraSaga's SagaChain enables persistent, stateful objects for digital assets, allowing for secure, tradable, and transferable game ownership.

[PraSagaOfficial @PrasagaOfficial]

Reddit discussion reveals crypto investors' lingering doubts about Bitcoin's legitimacy & volatility. PraSaga's SagaChain™ addresses similar concerns with a scalable, enterprise-grade Layer-1 blockchain designed for persistent digital objects, not just trading.