Azion

Full-stack Web Platform, powered by the planet’s most reliable network, that simplifies how you Build, Scale, and Secure applications.

[Azion @aziontech]

Your AI endpoint is just an API. Bots hit it like any other, except every bad request comes with an inference bill.

Here’s how to protect it 👇
https://t.co/DJyfJzPock

[Azion @aziontech]

Most "free" plans are demos with a paywall waiting behind every real feature. Azion's Hobby plan ships DDoS Protection and WAF included, free. No upgrade wall to get basic security.

[Azion @aziontech]

A security rule that requires a vendor ticket, an internal approval cycle, and a deploy window isn't a security rule. It's a plan to respond after the damage is done.

Learn how to fix it https://t.co/zNoBOYeQdO

[Azion @aziontech]

Cold starts don't distribute randomly.

They concentrate on first-time users, traffic spikes, and low-traffic endpoints.

Which is to say: they concentrate on the moments your business depends on most.

We know how to fix that.

[Azion @aziontech]

https://t.co/BIbNIMzksl

[Azion @aziontech]

Palantir's CEO said something has gone completely wrong with how AI is sold.

He was talking about token pricing. He's right. Tokens are model-specific — the same prompt generates different token counts depending on which model, which tokenizer, which reasoning mode you're running. Finance teams can't forecast that.

Requests + GB-hours fix this. You pay for workload volume and compute time, the same dimensions your infra team already monitors.

Azion prices AI Inference at 0.60/Mrequests+0.60/Mrequests+0.22/GB-hour. No token tables. No per-model rate cards.

[Azion @aziontech]

Full breakdown → https://t.co/u79zuMwchS

[Azion @aziontech]

Most enterprises now report AI-related security incidents as routine.

Most security teams still run three tools that don't share signals.

That's where coordinated attacks land. 🧵

[Azion @aziontech]

WAF + Bot Manager + network protection on one platform: an IP flagged at the network layer is immediately visible at the app layer. 40-minute correlation window goes to zero.

[Azion @aziontech]

The latency you benchmarked is us-east-1 to us-east-1. Add a user in Lagos. Add a user in Jakarta. That 200ms becomes 700ms. The model is fine. The geography isn't.

[Azion @aziontech]

DDoS attacks peak in 30 seconds. Manual response takes 30 minutes. You're not racing the attacker. You're mopping up after them.

[Azion @aziontech]

Engineers spend 25 days provisioning each new application before writing a line of business logic. The cloud didn't eliminate infrastructure work. It moved it to YAML files and IAM policies.

[Azion @aziontech]

29% of your cloud bill is idle capacity you provisioned and never used. You're not getting a better deal. You're discounting waste.

[Azion @aziontech]

GenAI latency is an architecture problem. You can't fix a network round trip by picking a better GPU.

[Azion @aziontech]

@ZubairIbnZamir We're really sorry - working on that

[Azion @aziontech]

Everyone says they're running serverless. Most moved a monolith into a Lambda with a 3-second cold start. The billing model changed. The architecture didn't.

[Azion @aziontech]

Is your app REALLY multi-cloud?
CDN from vendor A. DNS from vendor A. WAF from vendor A. When vendor A has an outage, you find out what multi-cloud actually means.

[Azion @aziontech]

Your controls work fine in isolation.

The problem is they operate in isolation.

That's the gap attackers are already inside.

Learn More: https://t.co/RgTENN9Rau

[Azion @aziontech]

Four alerts, four consoles, four different teams asking if their piece is related to yours.

Meanwhile, the attacker finished 45 minutes ago. 🧵

[Azion @aziontech]

WAF, DDoS, bot management, and API security in one architecture means correlation happens at the platform level, not in a bridge call.

Analysts investigate from one place. Policies stay consistent.

The bottleneck disappears before the incident clock starts.