Sprawl Post 1
AppSec
For AppSec, the First AI Agent Problem Is Evidence Before Exploitation
Why the first public control problem in the report is weak evidence posture, not an already-proven exploit chain.
Independent research and operating notes on AI agent governance.
CAISI Field Notes / Sprawl Report Series
This four-part series stays anchored to one report and one locked
run: sprawl-v2-top250-20260508a, built from
250 public GitHub targets scanned from local clones.
The point is not to retell the report four times. It is to
separate the strongest governance lessons for AppSec, CISOs,
engineering leaders, and platform teams from the numbers that are
easy to misread.
The report is strongest on a specific question: what public repositories expose about AI tools, agent declarations, approval posture, evidence readiness, and control-aligned artifacts. That is a useful governance question, but it is easy for readers to over-rotate toward either complacency or alarm.
This series slows the read down. It explains why the report's strongest results are about proof and posture, why deployment signal is not the same as binding completeness, and what each audience should do with the signal.
Sprawl Post 1
AppSec
Why the first public control problem in the report is weak evidence posture, not an already-proven exploit chain.
Sprawl Post 2
CISO / Security leadership
Why leaders should read the headline ratio as a machine-readable governance failure, not a claim that every unresolved tool is dangerous.
Sprawl Post 3
Platform
Why platform teams should separate deployment evidence from tool, data, and auth binding completeness.
Sprawl Post 4
Leadership
A precise closing post on what the locked public cohort proves, what it does not, and the first fixes leaders should insist on.