How do we stop employees pasting sensitive data into AI chats?

The extension and the desktop app check the text on the device and redact personal data and secrets before it is sent, under the policy your workspace sets.

How do we govern which AI models employees use?

Routing rules say which models may answer which requests - by data boundary, region, cost or team - and every request that broke a rule is in the audit trail.

Do people need training to use it?

No. The extension and the desktop app sit under the composer people already use and show the price and the pick; nothing changes in how they work.

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OpenSmartRoute

Blog

Results for “thought leaders”

Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.

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#agents 697 #ai 687 #news 649 #models 611 #llm 434 #research 330 #inference 290 #benchmark 114 #open-weights 109 #safety 82 #evaluation 79 #security 51 #automation 41 #reasoning 35 #aws 34 #benchmarks 32 #training 32 #optimization 31

AIOct 9, 20261 min read

AI Doesn’t Need Another Dashboard. It Needs Permission to Act

For years, cybersecurity has been obsessed with visibility. We wanted to see more of the network, collect more telemetry, correlate more events, and detect threats earlier. So we built dashboards. Then we built better dashboards. Then we...

From Unite.AI

AgentsOct 6, 20269 min read

AWS aligns AI governance with ISO/IEC 42005:2025 standard

AWS released guidance on using ISO/IEC 42005:2025 for AI impact assessments. The company offers tools to help customers integrate these checks into their risk management.

From AWS machine learning blog

How this blog is made

Every post is a routed request.

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace. Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run it yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

Photo: Yan Krukau

For the business

What it does for the people who use AI all day.

A quote under the composer
The price before you send
The browser extension shows the cost and the router's pick on the AI sites your teams already use.
The extension
A trace with every answer
Every decision explained
Which model answered, why it won, what it cost and what the alternatives were - kept for the retention period you set.
Open a trace
Checks on the device
Safe AI at every desk
Personal data and secrets are flagged and redacted on the computer, before a message leaves it.

Results for “thought leaders”

AI Doesn’t Need Another Dashboard. It Needs Permission to Act

AWS aligns AI governance with ISO/IEC 42005:2025 standard

Every post is a routed request.

What it does for the people who use AI all day.

The price before you send

Every decision explained

Safe AI at every desk

Open source control plane for Amazon SageMaker HyperPod operations