Capabilities

The Automated Compliance Engine (ACE™) empowers continuous Authority to Operate (ATO) and threat awareness for complex IT systems by linking siloed data, asset context, and actionable threat intelligence in one secure platform.

ACE revolutionizes compliance and cybersecurity by unifying siloed scan data, asset relationships, and threat intelligence into a single, AI-powered risk management platform. Through locally hosted AI, ACE translates vulnerabilities into actionable threat insights mapped to MITRE ATT&CK and NIST frameworks. Authorizing Officials, ISSMs, and ISSOs get continuous, real-time visibility and defensible audit readiness for even the most demanding Federal environments.

Unify your security data without changing your toolchain. ACE’s Universal Intelligent Parser ingests and understands reports from any source: proprietary, open-source, or third-party. By using a specially trained AI model, ACE automatically normalizes disparate vulnerability and compliance findings, allowing you to keep your existing scanners such as Nessus and Prisma while gaining a single, actionable view of your risk.

Offline, secure AI is performed locally via a self-hosted inference engine with no reliance on external data transfer. Crucially, interactive risk and threat maps visualize vulnerabilities by mapping CVEs to the MITRE ATT&CK matrix.

Six Breakthrough Capabilities for ATO Success:

1. Strategic Risk Prioritization: Safeguard your most valuable data by identifying and prioritizing remediation of critical assets, neutralizing attack paths before they are exploited by threat actors.
2. Asset Tracking with Compliance: Continuously discover, track, and manage inventory of all system assets enriched with real-time vulnerability, compliance, and relationship mapping data.
3. Universal Intelligent Parsing and AI Inference: Ingest any vulnerability or compliance report (proprietary, open source, or third party) and use AI to instantly map findings to industry-standard taxonomies (CVE, CWE, CAPEC, MITRE ATT&CK) for actionable mitigation.
4. Continuous Visual Infrastructure Mapping: Automatically generate dynamic, relationship-based maps of your environment to visualize complex connections and track assets, vulnerabilities, and compliance status.
5. Interactive MITRE ATT&CK Integration: Overlay system vulnerabilities directly onto the MITRE ATT&CK matrix for immediate visualization of threat vectors and targeted risk assessment.
6. RMF ATO Tracking and Automation: Integrate package automation with risk analysis and continuous tracking of ATO boundaries to streamline evidence generation, compliance validation, and ongoing risk management.

Key AI Principles:

• Local Execution: All AI models are hosted and executed locally via an internal Ollama instance. No data is sent to external third-party AI providers (e.g., OpenAI, Anthropic).
• No Internet Access: The AI execution environment is isolated from the public Internet.
• Zero Training on User Data: User data is used strictly for inference (analysis/parsing) and is never used to train or fine-tune the models.