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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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.
Full breakdown → azion.com/en/blog/unified-wa…
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.
Three consoles, three log systems, no shared signal. An IP flagged in one layer is invisible to the others.
Not a detection problem. An architecture problem.
A volumetric flood hits. DDoS absorbs it. The team watches that dashboard.
Meanwhile: credential stuffing at low volume through the app layer. Under every DDoS threshold.
Bot alert sits in queue for 40 minutes. Accounts compromised.
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. 🧵
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.
DDoS attacks peak in 30 seconds. Manual response takes 30 minutes. You're not racing the attacker. You're mopping up after them.
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.
29% of your cloud bill is idle capacity you provisioned and never used. You're not getting a better deal. You're discounting waste.
GenAI latency is an architecture problem. You can't fix a network round trip by picking a better GPU.
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.
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.
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…
