ATT&CK-Aware Structured Threat Reasoning
Routes analyst prompts through an LLM reasoning layer that produces structured, MITRE ATT&CK-oriented attack-chain outputs — with technique IDs, confidence scores, and recommended investigative actions.
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Secure AI Orchestration for Cybersecurity Operations
Apocalypse
Generic AI assistants execute without governance. Apocalypse enforces policy gates before every tool call, routes sensitive operations through OpenSandbox with human-in-the-loop approval by default, and preserves full reasoning and execution audit trails — giving your security team the speed of AI without surrendering control.
Coming Soon
- LLM never directly executes — orchestrator validates every action before execution
- Policy gates enforce role and privilege checks on every tool call
- Restricted operations use human-in-the-loop approval by default
- Sandboxed command execution via OpenSandbox — isolated from core systems
- ATT&CK-aware structured reasoning with explainable attack-chain outputs
- Full audit trail: every reasoning step, tool call, and approval decision logged
What it does
From capture quality to explainable decisions, this platform covers the full operational trust lifecycle.
Policy-Enforced Tool Execution
Every tool call passes through a multi-stage controller: registry check, role authorization, privilege validation, and request-level allowlist verification before a single action is executed.
Sandboxed Execution & Human-in-the-Loop
Sensitive command operations run inside OpenSandbox in isolation from core systems. Restricted tools are blocked unless explicit human approval metadata is present in the request.
Session Memory & Persistent Audit Trails
Short-term session context lives in Redis for multi-turn investigation continuity. PostgreSQL stores immutable-style audit records of every reasoning step, tool call, and approval decision.
OIDC / JWT Identity & RBAC Governance
Production-ready OIDC integration, role bundles, per-tool privilege mapping, and organization user management APIs. Every session carries verified identity context into the orchestration layer.
API-First Orchestration Core
Go backend exposes reasoning, tool catalog, command lifecycle, privilege catalog, and user management endpoints — enabling integration with dashboards, internal portals, and automation layers.
Compliance-aware:SOC 2 readinessNIST SP 800-53MITRE ATT&CKISO 27001 control mappingFedRAMP readiness planning
Explainable AI orchestration for governed cybersecurity operations
Apocalypse is currently in controlled enterprise validation. The roadmap is focused on explainable threat reasoning, policy-enforced execution, and evidence-grade auditability for regulated SOC environments.
Current launch status
Coming Soon with early-access design partner validation.
- Early-access discovery sessions are open for SOC and incident response teams.
- Pricing and packaging will be finalized with launch alongside governance implementation services.
- Enterprise rollout will prioritize compliance alignment, RBAC controls, and secure deployment architecture.
Explainability commitments
- ATT&CK-structured outputs provide technique-level reasoning with analyst-readable evidence context.
- Every tool action is linked to policy checks, authorization outcomes, and approval metadata.
- Command execution trails preserve who approved what, when, and under which controls.
- Confidence scoring and governance metadata are surfaced before operational actions are taken.
AI infrastructure direction
- Advance orchestration guardrails for high-trust human-in-the-loop operations.
- Expand secure plugin interoperability across SIEM, SOAR, and incident response ecosystems.
- Deepen sovereign deployment options for government and regulated security programs.
- Evolve toward adaptive AI operations with explicit policy, identity, and audit boundaries.
Discuss architecture fit, early-access scope, and deployment requirements with the solutions team.
Join early access for this platform
Book a discovery session to review explainability requirements, deployment constraints, and your roadmap fit for the AI infrastructure era.