the cloud that can't afford to fail
Suresh Sangiah, SVP of Engineering at Palo Alto Networks, explains how his team keeps its cloud resilient, always on, and with zero wasted costs.
Optimized by AI. Safer by Design.
Most cloud teams avoid automation in production because the risk outweighs the reward. Sedai's Safety by Design architecture wraps every autonomous action in layered guardrails built from deep application learning. Optimize continuously, without ever putting production at risk.
Automation Without Guardrails Just Fails Faster
Most teams don't resist automation because they prefer doing things manually. They resist it because they've seen what happens when an automated change goes wrong in production — an outage, a degraded SLA, an incident that takes hours to trace back to its cause.
Static automation doesn't adapt or understand context.
Rules-based automation executes if/then logic regardless of traffic shifts, deployment stability, or dependency load — it wasn't built to know when a change is risky.
Some tools stay recommendation-only because they haven't earned autonomy.
Several AIOps platforms limit themselves to suggestions — not because autonomy isn't valuable, but because the safety mechanisms aren't there yet.
Manual operations don't scale either.
Human oversight is safe but slow, creating delayed response, inconsistent execution, and alert fatigue in environments that change continuously.
“What I found with Sedai is that it's very focused on safety. I don't really have to worry about it. It just delivers the optimization, in a very gradual and safe way.”
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Robert Berger
Chief Architect // Informed
Safety Built Into Every Action
Sedai validates, executes, and monitors every change through a multi-layered safety process — before, during, and after every action.
Learn Before You Act
Sedai profiles your applications for weeks before acting — mapping dependencies and establishing what "healthy" looks like for each service.
Validate Before You Execute
Before every change, Sedai runs a multi-point safety check across impact, timing, dependencies, and conflicts. If any check fails, it waits.
Reverse Before Harm Occurs
If post-change SRE signals move in the wrong direction, Sedai automatically rolls back — no ticket, no page, no human required.
Built for Production Trust
85%
of incidents are caused by human error
0
Production incidents ever caused by a Sedai autonomous action
8
U.S. Patents on autonomous action safety
Key Capabilities
Sedai designs every layer of its safety architecture to make autonomous action more reliable than manual intervention.
Topology-Aware Dependency Mapping
Understands which services are upstream or downstream of every change, preventing actions that are locally safe but systemically risky.
Incremental Change Execution
Applies changes in small steps, validating stability after each one before proceeding.
Conflict Detection
Checks for in-flight changes across your environment before acting, preventing race conditions and compounding changes.
Configurable Autonomy
Start in Copilot mode with one-click approvals. Graduate to full Autopilot when you're ready.
Resources
The Sedai Proof of Value
A quick summary of the Sedai Proof of Value (POV). This 4-week process lets you see the impact of autonomous cloud optimization firsthand, in your environment.
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Optimize Your Cloud with Sedai
Learn how Sedai safely lowers your cloud costs — with zero risk to performance.
The 5 Levels of Cloud Autonomy
Learn the key differences between standard, automated, & autonomous cloud operations — and why they matter for your SLOs.