Machine-Speed Investigation, Containment & Recovery
The Autonomous Defense Research team advances the science of autonomous security operations — developing new reasoning approaches, containment techniques, recovery methodologies, and governance frameworks that make autonomous defense faster, safer, and more effective. This research directly drives the Nexus platform’s autonomous capabilities.
Autonomous Defense Research Areas
Autonomous defense is not just about automation — it’s about building systems that reason correctly under uncertainty, act proportionately, remain accountable, and improve continuously. Each research area below directly advances a specific Nexus platform capability.
We research the reasoning architectures that allow Overwatch AI to autonomously investigate threats — including graph-based reasoning over the Atlas Security Graph, evidence chain construction, hypothesis generation and testing, root cause inference, and the decision logic for determining when an investigation is sufficiently complete to recommend action. Current research focuses on improving reasoning accuracy under incomplete telemetry and adversarial evasion conditions.
Containment at machine speed creates risks as well as benefits — a false positive at machine speed can disrupt critical business operations. Our research develops containment decision models that optimize for threat neutralization while minimizing business disruption, including least-privilege containment selection, impact assessment before action, reversibility scoring, and multi-surface coordination to ensure containment is coherent across identity, endpoint, cloud, and SaaS systems simultaneously.
The question of how to govern autonomous security systems is one of the most important open problems in enterprise security. Our research develops formal governance frameworks that define clear boundaries between autonomous action and human decision-making — including policy representation models, risk threshold calibration, approval workflow design, override control mechanisms, and audit trail standards that satisfy regulatory and enterprise governance requirements.
The right containment action depends on context that changes continuously — threat severity, business criticality, active operations, trust state, and regulatory environment all influence what response is appropriate. We research adaptive orchestration models that incorporate these factors in real time, selecting responses that are proportionate, contextual, and coordinated across the full enterprise technology stack without requiring manual configuration for every possible scenario.
Recovery is the most under-researched area of enterprise security. We advance recovery orchestration methods that enable rapid, systematic restoration of trusted operational states — including integrity validation approaches, configuration restoration sequencing, trust relationship rebuilding protocols, and the formal verification methods that provide evidence-backed assurance that recovery is complete. This research directly drives TrustAnchor’s recovery capabilities.
Every major Nexus autonomous capability traces directly to a research program. This is what that looks like in practice.
The graph-based reasoning architecture that powers Overwatch AI’s autonomous investigations was developed by the Autonomous Defense Research team and is continuously improved based on real-world investigation outcomes.
Vanguard’s autonomous containment decision model — including least-impact containment selection, trust-based enforcement, and closed-loop validation — is grounded in our containment science research program.
TrustAnchor’s ability to orchestrate rapid, evidence-backed recovery to trusted operational states is built on our recovery orchestration research — including integrity validation methods and assurance documentation frameworks.
The governance model that defines how Nexus manages autonomous actions — policy tiers, approval workflows, override controls, and audit standards — is developed and maintained by our human-governed autonomy research program.
Vanguard’s ability to verify containment success and detect residual risk is based on closed-loop validation research — defining what constitutes confirmed containment and how to measure it reliably across different surface types.
AgentShield’s autonomous agent containment capabilities — including trust threshold violation response, tool access restriction, and MCP server isolation — are developed through our AI-specific containment research program.
Technical paper describing the graph reasoning architecture underlying Overwatch AI’s autonomous investigation engine — including evidence chain construction, hypothesis evaluation, and uncertainty management under incomplete telemetry.
Framework for autonomous containment decision-making that optimizes for threat neutralization while minimizing business disruption — with formal definitions, decision criteria, and empirical validation across 200 simulated incidents.
Formal specification of the governance model underlying Nexus’s human-governed autonomy framework — including policy representation, risk threshold calibration, approval workflow design, and audit trail standards.
Research into formal verification methods for post-incident recovery — defining what constitutes a validated trusted state, how to measure recovery completeness, and the evidence standards required for regulatory assurance.
Technical research into closed-loop containment validation — defining success criteria, measurement approaches, and escalation triggers across identity, endpoint, cloud, SaaS, and AI agent containment surfaces.
Research into autonomous containment of compromised AI agents — including trust threshold definition, containment action selection, MCP server isolation, and the challenge of containing agents without disrupting legitimate workflows.
Autonomous Defense Research drives the investigation, containment, and recovery capabilities across Overwatch AI, Vanguard, and TrustAnchor — informed by Detection Engineering and Threat Intelligence outputs.
Learn how our Autonomous Defense Research is advancing the platform capabilities that let enterprises defend themselves at machine speed — with full human governance and accountability.
