SOLUTIONS — BY ROLE: CIO / CISO
Executive Control for GenAI.
Kill Unknown Risk. Ship with Evidence.
TestSavant.ai closes the loop between Red Teaming (hybrid), Nero (autonomous attacker), Auto-tune (Airflow retraining), and guardrail models served via the TestSavant API on Ray—producing exportable evidence for audits and board reporting.
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Reduction in High-Risk Incidents
Guardrail models block jailbreaks, injection, and exfiltration discovered by Red Teaming/Nero.
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Audit Readiness Acceleration
Evidence bundles of tests, diffs, and lineage mapped to AI-specific frameworks.
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Improved Third-Party Coverage
Black-box testing for external models; runtime guardrails enforce policy at the edge.
What You Get as CIO/CISO
Start with outcomes; the platform adapts as threats evolve.
Executive Governance & Evidence
- Export artifacts: attack results, guardrail hits, model diffs, lineage
- Mappings support: ISO/IEC 42001, ISO/IEC 23894, NIST AI RMF, GDPR Art 22/15(1)(h)
- Board-ready summaries with residual-risk acceptance trails
Threat-Led Testing & Readiness
- Hybrid Red Teaming + Nero generated attacks
- Regression packs for releases; fail gates on criticals
- Post-incident learnings fed into Auto-tune retraining
Privacy & Data Controls
- PII/PHI detection → mask/tokenize before external calls
- Lineage of sources/tools/policies per conversation
- Zero-retention and residency routing options
Third-Party/Closed-Model Oversight
- Black-box probing; attach guardrails at the orchestration edge
- Telemetry to Aggregator; evidence for vendor reviews
- Continuous hardening via Auto-tune
From Threat Model to Enforced Control
Executive-level view of failures and the controls that stop them.
| Threat / Failure Mode | Guardrail Decision (Runtime) | Test Method (Red Teaming + Nero) | Result |
|---|---|---|---|
| Prompt injection / jailbreak | Block or transform; quarantine artifact | Lure suites; indirect injections via files/links | Takeover blocked; evidence logs |
| PII/PHI exfiltration | Detect → mask/tokenize before external calls | Adversarial PII payloads; RAG/log path probes | Lower leakage; masking proofs |
| Unsafe tool/action execution | Deny/transform risky function calls | Function-call abuse; spoofed intents | No unsafe actions; policy hits recorded |
| Cross-tenant data bleed | Scoped retrieval; minimum-necessary reducers | Multi-org corpus tests; cross-program suites | No cross-program artifacts in lineage |
| Drift & robustness regressions | Trigger Auto-tune; redeploy hardened guards | Scheduled regression packs; challenger runs | Controlled updates; tracked diffs |
Architecture & Controls
Discover with Red Teaming/Nero → synthesize data → Auto-tune retrain → redeploy via API on Ray → feed telemetry back.
Deployed Guardrail Models
- Served by TestSavant API on Ray
- Categories: prompt-injection, toxicity, privacy/PII, tool-safety
- Telemetry per request feeds Aggregator
Red Teaming (Hybrid)
- Automated + manual attack suites
- Continuously updated from Nero & real incidents
- Findings drive retraining & evaluation
Auto-tune (Airflow)
- Ingest → retrain → validate → redeploy
- Human sign-off optional; diffs & metrics stored
- Rapid, automated hardening cadence
Nero (Autonomous Attacker)
- Learns from traces & knowledge base
- Generates novel, effective attack samples
- Self-play + feedback from guardrail performance
Attack Knowledge DB
- Patterns/signatures + human/AI examples
- Seeds Nero for zero/few-shot attack creation
- Continuously updated from research & incidents
Data Synthesizer & Aggregator
- Fuses telemetry, Red Teaming, Nero, synthetics
- Produces clean datasets for training & tests
- Supports external sources (papers, HF, CSVs)
Evidence Support for AI-Specific Frameworks
Export 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 populated from attack results, drift metrics, guardrail performance.
ISO/IEC 42001 (AIMS)
- ✓Artifacts for PDCA: model diffs, validation metrics, incident learnings.
ISO/IEC 23894:2023
- ✓Evidence of identification → analysis → treatment → monitoring/re-test.
GDPR (Automated Decisions & Rights)
- ✓Explainability excerpts; user-facing disclosures; human-in-the-loop records where applicable.
Frequently Asked Questions
Do you require changes to our existing LLM stack?
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No. We operate at the orchestration edge via the TestSavant API. We can probe third-party/closed models and attach guardrails without model internals.
How do you keep pace with new attacks?
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Nero generates novel attacks; Red Teaming harvests real incidents and research; Auto-tune retrains hardened guardrails; the loop never stops.
Deployment options?
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Private VPC patterns, customer-managed keys (KMS/HSM), zero-retention modes, and evidence mirroring to your trust portal.
Make GenAI Board-Ready
See how the adaptive loop (Red Teaming → Auto-tune → API on Ray) reduces risk and produces audit-grade evidence.
