Ascend AI Agent & MCP Control Plane

ASCEND is the action-layer control plane for enterprise AI agents and MCP servers in regulated industries.

Existing security tools monitor what agents say. ASCEND governs what agents do - intercepting every action before it executes, enforcing policy in real time, and producing tamper-evident audit evidence for every decision.

WHAT ASCEND GOVERNS:

Every agent action passes through a 13-layer fail-secure architecture before execution. Each layer defaults to DENY on error. No action bypasses governance.

CORE CAPABILITIES:

Action-Layer Policy Enforcement: Every agent action is scored using a composite risk model: CVSS v3.1 (40%), NIST 800-30 (30%), MITRE ATT&CK (20%), contextual factors (10%). Low-risk actions auto-approve. Medium-risk route to human approvers. High-risk are blocked before execution. Enforce mode is live and WORM-audited.

MCP Server Governance (Layer 13): The only platform with dedicated governance for Model Context Protocol servers. Register, activate, and enforce tool-level policy on every MCP server across your agent fleet. Empty catalog = hard deny. 5/5 MCP enforcement paths verified blocked.

Kill-Switch Enforcement: Poll-based circuit breaker per tenant. Server decision p99 = 17.03ms (CloudWatch, 30 samples). Agent stops within one poll cycle (5-second default). 3-strikes fail-secure. Execute-time re-check at the governance choke point prevents approval bypass.

Human-in-the-Loop Approvals: Configurable escalation queue for high-risk actions. Four-eyes enforced - no self-approval. Reviewers see full risk context, MITRE technique mappings, and NIST controls before deciding. Webhook and API notification delivery.

Immutable Audit Trail: SHA-256 hash-chain, sequence-locked, tamper-resistant at the database trigger layer and tamper-evident at the application layer. 40,967 records verified. Exportable for SOC 2, HIPAA, PCI-DSS audit evidence packages.

Agentless Discovery: Cross-account, read-only External-ID-gated role assumption. Scans CloudWatch, CloudTrail, Lambda, ECS, and API Gateway. 27-scan history verified across 350 agents and 13 MCP servers - no agent installed on target infrastructure.

Prompt Injection & Output Filtering: 22-pattern DB-driven injection library. 10/10 critical injections blocked in red-team testing. Output filtering across 3,839 PHI/PII/credential detections - REDACT or BLOCK by severity.

Tenant Isolation 4-layer row-level security: frontend, backend, application, and database. 0 cross-tenant leaks across 6,750 isolation checks.

INTEGRATION

Python SDK (PyPI: ascend-ai-sdk), Node.js SDK (npm: @ascend-ai/sdk), boto3 wrapper, LangChain integration, Kong plugin, Envoy/Istio sidecar (fail-closed), REST API. First agent governed in under 10 minutes.

FRAMEWORK ALIGNMENT:

Architected to SOC 2 controls, NIST SP 800-53, NIST AI RMF, HIPAA safeguards, and MITRE ATT&CK. Every governance decision is mapped to control families in the audit record.

VERIFIED PRODUCTION METRICS:

Kill-switch server decision p99: 17.03ms (CloudWatch, 30 samples) Cross-tenant leakage: 0 across 6,750 checks Prompt injection: 10/10 critical blocked (22 patterns)

MCP enforcement paths: 5/5 blocked Audit records: 40,967 SHA-256 verified Automated tests: 2,396 passing, 0 regressions Agentless discovery: 350 agents, 13 MCP servers, cross-account verified

Built by OW-KAI Technologies - VOSB-certified, CAGE 17L63, UEI HSHWBW22V9T7.