Nexus unifies exposure management, autonomous threat operations, machine-speed response, continuous trust governance, and AI-agent security into a single continuously learning platform.
Nexus™ Platform Architecture
Each product in the Nexus platform solves a distinct layer of the modern enterprise security problem — and they work together as a continuously learning operational system.
We map your risks and attack paths. Atlas continuously models every identity, asset, permission, trust relationship, and AI agent as a living operational picture of your enterprise.
We autonomously hunt, reason, and explain threats. Overwatch AI investigates, correlates, and generates attack narratives without waiting for an analyst to start the work.
We contain, isolate, and neutralize at machine speed. Vanguard executes defensive actions across identity, endpoint, cloud, SaaS, and AI systems under human governance.
We continuously govern who and what is trusted. TrustAnchor evaluates trust across every identity, device, workload, and AI system — and restores trusted states after incidents.
We lock down your AI workflows. AgentShield protects AI agents, LLM applications, MCP infrastructure, and autonomous processes with runtime monitoring and governance.
Select a product to explore its purpose, the questions it answers, and its core capabilities.
Continuous Exposure & Trust Management
Atlas continuously models enterprise reality. Rather than scanning for vulnerabilities in isolation, Atlas understands identities, assets, permissions, trust relationships, AI agents, and attack paths as a living operational model — the organization's system of record for cyber exposure and trust.
Continuously models identities, assets, applications, cloud resources, and AI agents into a living enterprise graph.
Discovers excessive permissions, dormant accounts, privileged accounts, credential exposure, and trust abuse.
Identifies privilege escalation paths, lateral movement opportunities, trust abuse paths, and cloud attack paths.
Calculates reachable assets, reachable identities, business impact, and critical dependencies before an attack occurs.
Maps user-to-SaaS, user-to-cloud, service-to-application, agent-to-tool, and application-to-data trust relationships.
Discovers AI agents, MCP servers, agent permissions, tool access, and AI-specific attack paths across the enterprise.
Autonomous Security Operations
Overwatch AI is the operational intelligence layer of the platform. It continuously investigates, correlates, prioritizes, explains, and directs security operations using autonomous reasoning. Rather than generating alerts, Overwatch AI generates understanding.
Automatically collects evidence, enriches telemetry, builds attack timelines, and identifies root cause — without human initiation.
Operates as a continuously active digital security analyst handling alert triage, investigation, prioritization, and escalation.
Correlates activity across identity, endpoint, cloud, SaaS, network, and AI systems to build a unified attack story.
Automatically reconstructs initial access, persistence, privilege escalation, lateral movement, and impact into human-readable narratives.
Continuously searches for hidden attackers, lateral movement, identity abuse, and agent compromise without analyst-created queries.
Ranks incidents based on business impact, asset criticality, identity risk, trust degradation, and attack progression.
Autonomous Defense & Response
Vanguard delivers machine-speed decision making and action with human oversight. It determines the optimal defensive action, selects the least disruptive containment option, and validates that threats are successfully neutralized — while keeping business operations running.
Continuously determines optimal defensive actions based on threat severity, business criticality, trust levels, and attack progression.
Supports fully autonomous actions, analyst approval workflows, executive approval, emergency overrides, and separation of duties.
Coordinates response across identity systems, endpoints, SaaS platforms, cloud environments, networks, and AI agents.
Performs endpoint isolation, session termination, SaaS containment, API key revocation, token invalidation, and agent suspension.
Removes excessive permissions, revokes privileged access, enforces step-up authentication, and restricts lateral movement during active incidents.
Continuously verifies that containment was successful, risk is removed, attacker access is eliminated, and trust has been re-established.
Trust Governance & Recovery
Traditional security focuses on prevention. TrustAnchor focuses on maintaining and restoring trust. It continuously governs trust across identities, devices, workloads, applications, and AI systems — and provides recovery capabilities that restore the enterprise to a validated, trusted operational state.
Continuously evaluates trust across human identities, machine identities, service accounts, cloud workloads, applications, and AI agents.
Detects identity threats, scores identity risk, analyzes exposure, detects credential abuse, and maps identity attack paths.
Continuously monitors privileged accounts, service accounts, administrative activity, privilege escalation, and excessive permissions.
Evaluates user, machine, SaaS, cloud, and agent sessions for signs of compromise or trust degradation in real time.
Restores identities, endpoints, cloud resources, applications, SaaS configurations, and AI environments to known-good states.
Provides evidence that threats are removed, misconfigurations are corrected, trust has been restored, and operations are safe to resume.
AI & Agent Workflow Security
As organizations deploy autonomous AI systems, AgentShield provides governance, monitoring, trust evaluation, and runtime protection for AI environments. It protects AI agents, LLM applications, MCP infrastructure, autonomous workflows, machine identities, and AI-driven business processes.
Continuously discovers AI agents, LLM applications, MCP servers, autonomous workflows, and agent frameworks across the enterprise.
Provides agent identities, authentication, authorization, lifecycle management, and dynamic trust scoring.
Discovers MCP servers, inventories tools, analyzes permissions, governs tool access, and evaluates MCP trust relationships.
Detects prompt injection, indirect prompt injection, jailbreak attempts, context manipulation, and prompt poisoning.
Continuously observes agent behavior, tool usage, API access, data access, and workflow execution in real time.
Automatically suspends agents, restricts tools, revokes credentials, blocks workflows, and isolates MCP servers when trust thresholds are violated.
Attackers increasingly exploit identity systems, SaaS platforms, cloud trust relationships, APIs, AI agents, and machine identities. Traditional SOC architectures were never designed for continuously changing enterprise environments.
Identity has become the new enterprise perimeter. Trust relationships now define modern attack paths.
Multi-cloud and SaaS environments change continuously — faster than manual security operations can adapt.
Autonomous AI systems create entirely new attack surfaces, trust boundaries, and governance requirements.
Analysts cannot manually investigate machine-speed attacks across fragmented enterprise telemetry.
Modern attackers move across identity, cloud, endpoint, SaaS, and AI systems faster than human analysts can respond. Traditional SOC architectures cannot scale. As a result:
Thousands of daily alerts with limited analyst capacity create dangerous operational blind spots.
Critical telemetry is scattered across disconnected tools, vendors, and operational silos.
Attackers operate at machine speed while defenders remain dependent on manual investigation workflows.
Traditional SOCs were designed for human-paced, perimeter-based threats. Modern attacks are automated, machine-speed, and multi-cloud — drowning analysts in alert fatigue, fragmenting data, and burning out staff.
Every autonomous investigation and response workflow in Nexus operates within enterprise-defined policies, risk thresholds, approval chains, trust controls, and adaptive governance boundaries. Speed without oversight is not a feature — it is a risk.
Define automation boundaries per risk tier, asset class, and business unit.
Route high-impact actions through configurable human approval workflows.
Continuously validate trust assumptions before autonomous actions execute.
Every autonomous decision is logged, explainable, and fully auditable.
Research continuously drives platform intelligence, detection engineering, attack modeling, and autonomous operational capabilities across the Nexus platform.
Analyze credential abuse, privilege propagation, identity compromise, and trust relationship exploitation across enterprise environments.
Investigate prompt injection, autonomous workflow abuse, model manipulation, MCP exploitation, and AI governance failures.
Build behavioral detections using graph analytics, attack simulation, adversary emulation, and telemetry correlation across the security graph.
Advance autonomous investigation, machine-speed containment, recovery orchestration, and adaptive trust enforcement capabilities.
Replace fragmented security operations with Nexus — a continuously learning autonomous cyber defense platform built for cloud, identity, SaaS, AI agents, and enterprise resilience.