Full-stack Web Platform, powered by the planet’s most reliable network, that simplifies how you Build, Scale, and Secure applications.
Palo Alto, CA
Joined March 2011
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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 👇
azion.com/en/blog/how-to-str…
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 azion.com/en/blog/ecommerce-…
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.
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. 🧵
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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.
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Full breakdown → azion.com/en/blog/unified-wa…
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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.
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DDoS attacks peak in 30 seconds. Manual response takes 30 minutes. You're not racing the attacker. You're mopping up after them.
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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.
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29% of your cloud bill is idle capacity you provisioned and never used. You're not getting a better deal. You're discounting waste.
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GenAI latency is an architecture problem. You can't fix a network round trip by picking a better GPU.
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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.
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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.
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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.
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Your controls work fine in isolation.
The problem is they operate in isolation.
That's the gap attackers are already inside.
Learn More: azion.com/en/blog/how-a-unif…
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