SOLUTIONS — BY ROLE: SECURITY ENGINEER
Break It. Fix It.
Prove It Holds.
Run Red Teaming with Nero attack generation, harden with Auto-tune (Airflow), and enforce at runtime with guardrail models via the TestSavant API on Ray. Data flows through the Data Synthesizer & Aggregator for continuous improvement.
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Higher Attack Coverage
Nero samples + real incidents continuously expand suites.
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Faster MTTR
Auto-tune retrains and redeploys hardened guardrails quickly.
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Cleaner Audit Trails
Lineage of sources, tools, policies, and guardrail hits per request.
Hands-On Modules for Security Engineers
API-first, CI-ready, black-box friendly.
Attack & Regression Packs
- Injection, exfiltration, tool abuse, weak citations
- Nero-generated novel attacks
- Scheduled and on-demand runs
Runtime Enforcement (API on Ray)
- Attach guardrails pre-LLM and pre-tool call
- Categories: injection, toxicity, privacy/PII, tool-safety
- Telemetry with policy hits to Aggregator
Auto-tune Retraining
- Airflow pipeline; diffs/metrics archived
- Re-test before redeploy; rollback plans
- Human approval optional
Data Synthesizer & Aggregator
- Fuse telemetry, Nero, Red Teaming, synthetics
- Produce clean datasets for training & eval
- Export to SIEM/GRC systems
Failure Modes → Reproducible Fixes
Close the loop with logs, diffs, and re-tests.
| Failure Mode | Guardrail Decision | Test Method | Result |
|---|---|---|---|
| System-prompt exfil / jailbreak | Block/transform; quarantine | Nero + Red Teaming lure suites | Takeover blocked; logs |
| PII/PHI exfiltration | Detect → mask/tokenize | Adversarial PII payloads | Leakage reduced; proofs |
| Tool/action abuse | Deny/transform risky calls | Function-call abuse tests | No unsafe actions |
| Weak citations / RAG hallucination | Require strong provenance | Source-integrity checks | Trustworthy answers |
| Drift / robustness regression | Auto-tune retrain & redeploy | Scheduled regression packs | Controlled updates |
Architecture & Controls
API-first runtime; adaptive training loop; evidence by default.
Guardrail Models
- Served by TestSavant API on Ray
- Categories: injection, toxicity, privacy/PII, tool-safety
- Per-request telemetry
Red Teaming (Hybrid)
- Automated + manual; black-box friendly
- Nero-seeded attacks
Auto-tune (Airflow)
- Retrain → validate → redeploy
- Diffs & metrics archived
Nero (Autonomous 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
- Produce clean datasets for training/tests
Evidence Support for AI Frameworks
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 attack results, drift, and guardrail performance.
ISO/IEC 42001
- ✓PDCA artifacts: diffs, validations, incident learnings.
ISO/IEC 23894
- ✓Risk lifecycle evidence with re-tests.
GDPR
- ✓Explainability excerpts and, where applicable, human-review trails.
Frequently Asked Questions
How do I instrument my app?
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Route prompts, RAG queries, and tool calls through the TestSavant API; evaluate responses and block/transform as needed; log telemetry to the Aggregator.
Can I run suites locally and in CI?
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Yes—run Red Teaming packs on demand or in builds; export evidence automatically.
How do updates roll out safely?
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Auto-tune validates on adversarial and held-out sets, records diffs/metrics, and redeploys. You can require human sign-off.
Ship Guardrails That Hold
Run a pack, see hits, redeploy hardened guardrails—end to end.
