Publish Research-Program research wiki page
@@ -0,0 +1,24 @@
|
|||||||
|
# Research Program
|
||||||
|
|
||||||
|
## Research question
|
||||||
|
|
||||||
|
Can a constrained, local-first security agent normalize AI-related artifacts, apply transparent policies, and produce useful evidence without executing untrusted content or sending it to an external service?
|
||||||
|
|
||||||
|
## Current method
|
||||||
|
|
||||||
|
AAISA separates discovery, immutable artifact evidence, deterministic policy evaluation, reporting, and human decision. Research claims are tied to versioned code, fixture digests, explicit limitations, and reproducible commands.
|
||||||
|
|
||||||
|
## Current workstreams
|
||||||
|
|
||||||
|
1. Artifact schemas and safe parsers
|
||||||
|
2. Rule quality and evaluation science
|
||||||
|
3. Prompt and agent-tool security
|
||||||
|
4. Model and dataset provenance
|
||||||
|
5. Software supply-chain evidence
|
||||||
|
6. SARIF and interoperability
|
||||||
|
7. Privacy, redaction, and secure report handling
|
||||||
|
8. Contributor experience and governance
|
||||||
|
|
||||||
|
## Research boundaries
|
||||||
|
|
||||||
|
The default system does not execute artifacts, make network requests, exploit targets, recover credentials, or modify source content. Probabilistic analyzers remain out of scope until isolation, provenance, confidence, and data-governance requirements are approved.
|
||||||
Reference in New Issue
Block a user