Every tool call intercepted. Every action policy-checked in under 50ms. Every decision cryptographically sealed. Your agents think freely. HaltState makes sure they act safely.
Under two minutes. Watch this first.
Runtime AI agent governance is the process of monitoring and controlling autonomous AI systems while they are executing actions in production. Unlike pre-deployment testing or static guardrails, runtime governance intercepts tool calls (like payments, database writes, or API requests) and evaluates them against real-time policies. This provides a non-bypassable "Sentinel Layer" that enforces safety, prevents rogue behavior, and ensures absolute compliance with regulatory standards like SB-53.
HaltState provides the critical runtime layer for managing autonomous AI agents in production.
Real-time policy enforcement for every AI action. Define rules in plain English, HaltState enforces them in under 50ms. Block payments over thresholds, require approvals for sensitive operations.
Instant kill switches at any scope. Agent going rogue? One click to freeze it. Suspicious behavior detected? Automatic quarantine. Scoped controls from single agent to entire fleet.
Export tamper-evident evidence bundles for audits. Every decision logged, every policy change tracked, every Proof Pack independently verifiable. Aligned to SB-53, the EU AI Act, and enterprise compliance requirements.
Agents reading external content are vulnerable to embedded instructions. HaltState validates every outbound action regardless of what triggered it. The injection gets read. The malicious action gets blocked.
Public agent networks now operate at internet scale. Moltbook publicly reports over 1.7M agents and over 11M comments. At this scale, prompt injection, impersonation, and unsafe tool execution spread fast. HaltState enforces policy at execution time so every outbound action is checked before it runs.
HaltState provides one runtime governance layer aligned to California SB-53, New York's RAISE Act, the EU AI Act, and Colorado's AI Act. Proof Packs provide verifiable evidence for audits across jurisdictions.
Your intelligent assistant for governance operations. The HaltState Concierge has tool access to your entire platform - check agent status, review pending approvals, configure policies, and troubleshoot issues through natural conversation.
Policy Evaluation
Audit Coverage
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Add the HaltState decorator to any function. Policies are enforced automatically before execution.
from haltstate import guard
@guard("payment.process")
async def process_payment(amount: float):
# HaltState enforces policies automatically
return await stripe.charge(amount)One governance layer. Major AI regulatory frameworks.
Real patterns observed in open autonomous agent networks
Public agent networks have documented prompt injection attempts in comments and threads. HaltState evaluates resulting actions at runtime, so malicious instructions do not bypass policy checks.
Public demos have shown agents purchasing external services such as phone numbers and initiating calls without direct operator approval. HaltState can require explicit approval for financial actions and external service registration.
Agents are routinely exposed to instructions that attempt outbound command execution. HaltState validates sensitive actions against policy before execution to reduce blast radius from compromised prompts.
Common questions about AI kill switches, runtime governance, and autonomous agent safety
A kill switch is a non-bypassable control mechanism that allows humans or automated logic to instantly freeze an AI agent's ability to execute tools or communicate with external systems. It is the ultimate fail-safe for autonomous agents.
A Proof Pack is a cryptographically signed bundle containing every policy evaluation, tool call, and system response associated with an agent's session. It serves as an immutable audit trail for compliance and safety reporting.
HaltState intercepts agent "tool calls" before they execute. Our Sentinel engine checks the request context against your defined policies (e.g., "deny if amount > $500") and either permits, denies, or triggers a human approval flow.
HaltState is engineered for high-performance enterprise applications. Most policy evaluations complete in under 50ms, adding virtually zero detectable latency to the AI agent's perception or response time.
When a tool call triggers a "Human-in-the-Loop" policy, HaltState pauses the execution and notifies an administrator. The agent remains in a suspended state until a human grants or denies the specific action.
HaltState is designed for multi-jurisdiction AI governance, including California SB-53, New York's RAISE Act, the EU AI Act, and Colorado's AI Act. Runtime enforcement and cryptographic Proof Packs provide operational evidence for audits and internal controls.
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