Ungoverned drift
When confidence drops or inputs degrade, most AI systems have no governed fallback. Agents continue executing without bounds, escalation paths, or evidence of how they got there.
Runtime Assurance Layer
Operational Safety Bounds
Auditable Decision History
Runtime control for AI agents and autonomous systems.
When your AI agents, autonomous workflows, or deployed systems lose trusted conditions, Zero-G Engine bounds the action, escalates to operators, and preserves an auditable trail. No model retraining. No stack replacement.
206
Adversarial test vectors in the current runtime assurance program
36
Controls mapped across the threat-to-regression chain
4
Core governance layers exercised under adversarial conditions
97%
Execution-boundary hardening effectiveness in external-safe summary
The Problem
AI agents and autonomous systems ship faster than the controls around them.
Your team can build AI agents, autonomous workflows, and decision systems in weeks. But when conditions degrade, who governs the response? When an agent acts outside bounds, where is the record? When regulators ask for an audit trail, what do you show them?
Audit gap
After an incident, review teams need a replayable decision trail. Regulators increasingly require it. Most deployed AI systems cannot produce one.
Integration burden
Adding runtime governance should not mean replacing your AI stack. It should sit between decision-making and consequence — a control layer, not a platform swap.
Runtime Mechanics
One runtime loop. Six operations. Every decision recorded.
Every autonomous action passes through six operations. Every cycle produces a signed decision record. The result is a governed, reviewable runtime — not a black box.
01
Observe
Decision context, environment state, and execution intent before action leaves the autonomy layer.
02
Score
Anomaly, confidence, and contextual risk — graduated assessment, not binary gates.
03
Constrain
Bound execution before consequence when behavior or conditions cross thresholds.
04
Escalate
Surface abnormal or higher-risk conditions for governed fallback or human review.
05
Record
Preserve a replayable, tamper-evident trail for post-action review and audit.
06
Recover
Shift mode deliberately under degraded conditions instead of drifting into fail-open behavior.
Behavior may drift outside expected bounds.
Execution continues without governance boundary, escalation path, or auditable record of how the system crossed into degraded operation.
Bounded response. Governed escalation. Auditable record.
The runtime constrains action, escalates when conditions exceed bounds, changes mode deliberately, and preserves a reviewable operational trail.
Markets
Built for teams deploying AI where the consequences are real.
Zero-G Engine fits anywhere autonomous decisions carry operational, financial, or safety risk — and where governed behavior and auditable evidence are requirements, not features.
Enterprise AI & Agent Teams
Add runtime governance to your AI agents, autonomous workflows, or orchestration layer. Bound agent behavior, enforce escalation policies, and produce audit-ready decision trails — without replacing your stack.
Industrial & Robotics
Runtime assurance for autonomous vehicles, warehouse systems, inspection drones, and industrial automation. Governed degradation, operator escalation, and tamper-evident operational records.
Defense & Aerospace
Bounded behavior in contested, denied, or degraded environments. Operator escalation under C2 disruption. Decision provenance that survives post-mission review and oversight.
Why Now
The market is moving. The controls are not.
AI agents are making autonomous decisions in production. Regulators are catching up. The gap between capability and governance is where incidents happen.
AI safety incidents surged 56% in one year
Stanford HAI documented 233 AI safety incidents in 2024, up from 149 in 2023. Waymo recalled 3,000+ robotaxis after 19 school-bus violations. Health insurers denied 300K claims in two months with a 90% error rate on appeal. Replit's AI agent wiped a production database.
Stanford AI Index 2025 · NPR · ProPublicaRegulators now require runtime evidence, not documentation
The EU AI Act mandates continuous monitoring and audit trails for high-risk AI. The FDA requires lifecycle governance for 1,250+ AI medical devices. The FTC issued compulsory AI audit orders. U.S. states enacted 159 AI laws in 2025 alone.
EU AI Act 2024 · FDA · FTC · ProtivitiAI governance spending growing 30%+ CAGR to $15.8B by 2030
Forrester projects AI governance software at 30% CAGR through 2030. Gartner named AI Governance a top strategic trend for 2025. Organizations with governance platforms are 3.4x more likely to achieve effective AI governance.
Forrester 2025 · Gartner 2025-2026"In the 2026 compliance environment, screenshots and declarations are no longer sufficient — only operational evidence counts."
Protiviti, August 2025"By 2029, 'death by AI' legal claims will have doubled because decision-automation deployments lacked sufficient AI-risk guardrails."
Gartner, October 2025
Next Step
See how Zero-G Engine fits your stack.
20-minute architecture briefing. We will show you where the runtime sits, what the proof supports today, and whether the fit justifies a deeper review. No slide deck.