Blast Radius | Engineering AI for Failure at Enterprise Scale | R.A.H.S.I. Framework™
Your AI demo worked with known users, limited permissions and someone watching each run.
In production, hundreds of agents may share its connector, instruction or identity.
What happens when that shared component fails?
Scale Changes the Impact Question
At a constant 1% failure rate, one million executions yield 10,000 failed execution events — not necessarily 10,000 incidents.
One rare failure may still be unacceptable if it alters records or triggers downstream transactions.
Azure Well-Architected guidance defines blast radius by the scope of an outage’s impact and recommends mapping dependencies and failure modes.
My R.A.H.S.I. interpretation applies that analysis to agent systems:
Reach
Which users, sensitive records, identities and permissions can the failing path access?
Separate read authority from write authority.
Action
Can a wrong response become an API call or a change to a system of record?
How many transactions can occur before detection?
Propagation
Which agents share the instruction, tool, connector or dependency?
A common failure point can affect multiple critical flows.
Containment Must Match the Failure Path
Containment mechanisms should reflect how failures can spread.
- Bulkheads isolate components.
- Circuit breakers block repeated calls to a failing dependency.
- Throttling limits consumption.
- Least privilege reduces the authority available to the failing path.
- An authorized mechanism to disable a failing path can limit reach.
Each boundary should be tested rather than assumed to work.
Detection Does Not Stop Propagation
Correlation IDs and health signals help trace effects across services and time.
But:
Detection does not stop propagation.
After isolation, reconstruct the affected:
- users
- agents
- records
- transactions
- shared dependencies
- execution paths
Correct affected changes before re-establishing assurance.
Inventory Is Necessary — But It Is Not Governance
Microsoft’s Agent 365, Entra Agent ID and Purview guidance addresses areas such as:
- agent inventory
- identity
- access
- data protection
- visibility
These capabilities are important.
But inventory alone does not establish consistent governance.
Knowing that an agent exists is different from understanding:
- what it can reach
- what it can change
- what dependencies it shares
- how far its failures can propagate
- how it can be contained
- how affected state can be reconstructed
Test Blast Radius Before Expanding the Pilot
Before expanding a pilot, test:
- concurrency
- permission variance
- connector failures
- dependency outages
- shared instruction failures
- cascading failures
- delayed detection
- containment mechanisms
Test these conditions against the critical business flows the agent participates in.
Do not measure only whether the agent failed.
Measure:
How far can one failure travel before the architecture contains it?
Failure frequency matters.
Failure reach matters too.
| R.A.H.S.I. Framework™
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Blast Radius | Why AI Reliability Changes at Production Scale | R.A.H.S.I. Framework™
AI reliability changes when production scale multiplies users, agents, connectors, permissions and dependencies. R.A.H.S.I. explores how blast radius, segmentation, identity, observability and containment shape enterprise AI reliability.
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