SOLUTIONS — BY ROLE: CTO
Scale GenAI Safely.
Low Overhead. High Coverage.
Attach guardrail models at the orchestration edge via the TestSavant API on Ray. Run Red Teaming with Nero samples in CI. Use Auto-tune (Airflow) to retrain and redeploy fast, fueled by the Data Synthesizer & Aggregator.
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Lower Production Risk
Runtime guardrails block injection, exfiltration, tool abuse.
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Stable Release Velocity
Regression packs in CI; Auto-tune shortens fix cycles.
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Better Observability
Per-request telemetry to Aggregator; export to your SIEM.
Platform Patterns for CTOs
Adopt in stages; no lock-in; black-box friendly.
Runtime Guardrails (API on Ray)
- Attach to prompts, RAG, tools
- Categories: injection, toxicity, privacy/PII, tool-safety
- Multi-tenant safe; zero-retention modes
CI/CD & Regression Gates
- Run Red Teaming + Nero samples as a build step
- Block on criticals; auto-export evidence
- Challenger runs before promotion
Auto-tune Retraining (Airflow)
- Ingest → retrain → validate → redeploy guardrails
- Optional human approval & rollback
- Diffs & metrics archived
Observability & Telemetry
- Per-request prediction/latency/hit logs
- Aggregator to SIEM/GRC export
- Lineage for audits & postmortems
Prod Failures → Controls That Hold
Attach controls without refactoring your stack.
| Failure | Runtime Guardrail | Test Method | Result |
|---|---|---|---|
| Prompt injection / jailbreak | Block/transform; quarantine | Nero + Red Teaming suites | Takeover blocked |
| PII/PHI exfiltration | Detect → mask/tokenize | Adversarial PII payloads | Leakage reduced |
| Tool/action misuse | Deny/transform risky calls | Function-call abuse tests | Unsafe actions blocked |
| RAG hallucination | Require strong provenance | Source-integrity checks | Trustworthy answers |
| Drift/regressions | Auto-tune retrain & redeploy | Scheduled regression packs | Controlled updates |
Architecture & Controls
Edge-attached guardrails; adaptive training loop; Ray for runtime scale.
Guardrail Models (API on Ray)
- Attach to prompts/RAG/tools
- Telemetry per request
Red Teaming (Hybrid)
- Nero-seeded attacks
- CI & scheduled runs
Auto-tune (Airflow)
- Retrain → validate → redeploy
- Diffs/metrics archived
Nero (Attacker)
- Self-play; learns from traces
- Feeds successful samples
Attack Knowledge DB
- Patterns/signatures + examples
- Retrieval memory for Nero
Data Synthesizer & Aggregator
- Fuse telemetry/synthetics/domain sets
- Clean datasets for training/tests
Evidence Support for AI Frameworks
Exportable artifacts aligned to ISO/IEC 42001, ISO/IEC 23894, NIST AI RMF, GDPR Art 22/15(1)(h).
NIST AI RMF 1.0
- ✓Risk registers from findings & drift; monitoring evidence.
ISO/IEC 42001
- ✓PDCA artifacts: diffs, validations, incident learnings.
ISO/IEC 23894
- ✓Risk lifecycle evidence with re-tests.
GDPR
- ✓Explainability excerpts and human-review trails where applicable.
Frequently Asked Questions
Latency and scale?
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Guardrails are served via the TestSavant API on Ray for parallelism and horizontal scale. Telemetry helps tune performance.
Languages & SDKs?
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Use standard HTTP/REST to integrate. Attach checks before calls to model providers or tools.
Deployment models?
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Private VPC, customer-managed keys (KMS/HSM), zero-retention modes, evidence mirroring.
