Beyond Guardrails: A Transparent Look at the SASI Safety Roadmap

AI moves fast, but liability moves faster. Here is what we’ve built to provide a definitive System of Record for AI safety today, and where we are taking governance tomorrow.

The era of "move fast and break things" is over for enterprise AI. As organizations move models from the sandbox to production, in healthcare, finance, and critical services, the defining challenge isn't just making the model smarter. It’s proving the model is safe.

At TechViz, our mission is to provide that proof. We are building the industry’s first System of Record for AI Safety, SASI. We don't just filter bad outputs; we generate deterministic, tamper-evident evidence for every decision your AI makes. We believe in proof over prevention, ensuring your regulatory audits and liability defense are supported by hard data, not just vendor promises.

Transparency is core to safety. In that spirit, we are sharing a clear view of our platform today, what is currently running in production, and the critical governance features on our immediate roadmap.

Here is the state of the SASI platform:

Part 1: Built & Running Today

The Core Safety Infrastructure

Our foundation is built. Today, SASI provides the essential infrastructure required to deploy AI responsibly in real-world environments. This Core Infrastructure is focused on immediate behavioral mediation and generating defensible evidence logs.

If you integrate the SASI SDK today, here is what you get out of the box:

1. Real-Time Mediation & Protection (The "Control" Layer)
Before an LLM ever sees a prompt, SASI is active. We provide fail-closed enforcement for critical safety risks.

✅ Pre-LLM Crisis Detection: A 6-step, deterministic evaluation that catches severe harms (like self-harm or violence) before the prompt reaches the model.
✅ Mode-Based PII Redaction: Automated stripping of sensitive data based on context, meeting standards like HIPAA Safe Harbor.
✅ Adversarial Probe Protection: Disclosure guards that prevent attackers from tricking the AI into revealing its system prompts or proprietary architecture.

2. The Definitive Evidence Layer (The "Record" Layer)
This is where SASI differentiates itself from standard monitoring tools. We turn transient AI logs into permanent, legal proof.

✅ The SASIEnvelope: Every AI interaction is wrapped in a canonical, cryptographic evidence envelope. This is your digital receipt for exactly what happened.
✅ Policy Version Hashing: We cryptographically pin the exact safety policy active at the millisecond of execution. You can prove which rules were being enforced years later.
✅ FDA-Aligned Audit Trails: Logs are structured to meet rigorous regulatory standards for retention and readability.
✅ Model Drift Monitoring (SASI Canary): Active detection of backend model changes that could quietly alter safety behavior.

3. Specialized Depth: Therapy & Healthcare Boundaries
For high-stakes environments like mental health support, generic guardrails fail. We have already built specialized symbolic models to track subtle erosions in safety.

✅ Multi-Turn Trajectory Tracking: We monitor safety across long conversations, not just single keywords.
✅ Boundary Erosion Detection: Identifying when an AI begins to make unwarranted promises ("You will be okay") or assume undue responsibility for a user.
✅ Persona Integrity Checks: Preventing the AI from falsely presenting itself as a licensed professional (e.g., "As a doctor...").

Part 2: The Roadmap Ahead

Advanced Governance & Compliance Modules

While our Core Infrastructure solves today's deployment challenges, our roadmap is focused on solving tomorrow's regulatory hurdles. We are developing advanced Governance Modules designed to snap onto the core engine as your organization faces increased scrutiny or introduces complex human workflows.

Here is what is currently in active development:

1. Human-in-the-Loop Governance (The "Oversight" Module)
As teams add human reviewers for edge cases, they need proof of effective oversight.

🔶 Coming Soon: Operator Acknowledgment Logging. A defensible paper trail proving exactly when a human compliance officer saw an AI warning, and what action they took.
🔶 Coming Soon: Override Capability Proofs. Evidence attesting that the system was not fully autonomous and that a human had the technical capability to intervene at execution time.

2. Regulatory Defensibility (The "Accountability" Module)
For revenue-impacting decisions in regulated sectors, we are building tools to establish clear chains of custody.

🔶 Coming Soon: Downstream Outcome Linkage. The ability to cryptographically link an AI decision to a real-world outcome (e.g., loan denial, medical referral) without creating new PII liabilities.
🔶 Coming Soon: Access Accountability Logs. A strict ledger detailing exactly which internal employees accessed safety evidence and why.

3. Ultimate Provability (The "Assurance" Module)
For existential-risk scenarios, we are building capabilities to prove causality to outside auditors.

🔶 Coming Soon: Replay Verification. The ability to "rewind the tape" in a sandbox environment and mathematically prove to an auditor that the AI would make the exact same decision again under the same conditions.
🔶 Coming Soon: Dynamic Delegation Registry. Live checks proving that the specific user or service agent interacting with the AI had valid legal authority at that exact moment.

The Path Forward
Safety is not a feature you add at the end; it is the foundation you build upon. By establishing a System of Record today with SASI’s Core Infrastructure, your organization gains the immediate confidence to deploy, while future-proofing against the complex regulatory landscape on the horizon.

We invite you to explore our documentation or reach out to our team to discuss how SASI can provide the proof you need to innovate safely.

Review our pricing structure HERE