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Reality Kernel
$99/mStarting price
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About Reality Kernel
Reality Kernel is a deterministic security layer designed to intercept and evaluate system commands generated by AI agents before they execute. It scores each command against five effect dimensions—filesystem writes, egress destinations, privilege changes, data access patterns, and intent divergence—rather than relying on prompt classification. The engine operates independently of language, paraphrase, or jailbreak attempts, blocking actions where the gap between stated intent and potential effect exceeds a threshold. All decisions are sealed into a cryptographic audit ledger with SHA-256 hashes, enabling tamper-evident verification. The system enforces least-agency rules, automatically blocking unauthorized network requests, localhost probing, or privilege escalation attempts. It supports three deployment modes: SaaS-hosted, VPC-tenant, and self-hosted air-gapped configurations, each maintaining the same deterministic verdict logic and audit chain. The operator dashboard provides real-time review of WARN verdicts, Discord alerts, and forensic replay capabilities for compliance and incident investigation.
Key features
- Effect-class scoring against filesystem writes, egress, privilege, data access, and intent divergence
- Cryptographic audit ledger with SHA-256 chained hashes
- Fast-path policy gate for read-only verbs and allow-listed binaries
- Least-agency rules for declarative destination allow-lists
- Operator override dashboard with Discord and email alerts
- Forensic verifier for offline replay of audit chains
- Multi-agent trace context support
- SOC 2, ISO 27001, and FedRAMP-ready compliance profiles
Use cases
- Blocking rogue AI agent actions in production environments
- Compliance auditing for autonomous agent fleets under EU AI Act
- Preventing prompt injection and multilingual exploit attempts
Pros
- Deterministic verdicts independent of language or jailbreak attempts
- Cryptographic audit ledger with SHA-256 sealing for tamper evidence
- Three deployment modes: SaaS, VPC-tenant, and air-gapped
- Fast-path policy gate with sub-millisecond processing for 95% of traffic
- EU AI Act-ready compliance posture with zero retention of raw command text
Cons
- No free tier beyond local mock mode
- Requires integration into agentic workflows
- Air-gapped deployment requires BYO infrastructure
Frequently asked questions about Reality Kernel
What does Reality Kernel actually do?
Reality Kernel intercepts and evaluates system commands generated by AI agents before execution, scoring each command against five effect dimensions and blocking actions where the gap between stated intent and potential effect exceeds a threshold.
Who should use Reality Kernel?
It suits organizations running AI agents that need to enforce strict command-level security, particularly those handling sensitive data or operating under compliance regimes like EU AI Act or FedRAMP.
How does Reality Kernel integrate with existing systems?
The tool provides a single API endpoint (/v1/check) that agents call with the compiled system command and stated intent; the engine returns a cryptographically sealed verdict (ALLOW, WARN, BLOCK) for immediate enforcement.
What deployment options are available?
Reality Kernel offers SaaS-hosted, VPC-tenant, and self-hosted air-gapped configurations, all maintaining the same deterministic verdict logic and audit chain while adapting to different compliance boundaries.
Can Reality Kernel be tricked by jailbreaks or multilingual prompts?
No. The engine operates independently of language, paraphrase, or jailbreak attempts by modeling effect-class before execution, stopping attacks even when the attacker uses unseen languages or techniques.
How does the audit ledger work?
Every verdict is appended to a SHA-256 chained ledger, making tampering evident; operators can replay the entire chain offline to verify integrity, and each entry includes evidence and a proof hash for forensic review.
