Built from the Ground Up for Autonomous Enterprise Defence
The Nexus platform is not a collection of integrated products. It is a single, unified autonomous defence system in which five deeply integrated layers — data intelligence, investigation, response, trust, and AI governance — share a common data model, a common identity graph, and a common operational loop. Every layer makes every other layer smarter.
Nexus Platform — Unified Architecture
Every design decision in Nexus traces back to one of seven core architectural principles. These principles are not aspirational statements — they are measurable constraints that every engineering decision is evaluated against.
Nexus is designed as five deeply integrated layers — each with a distinct function, each continuously sharing intelligence with the others. No layer operates in isolation.
Entra ID, Active Directory, Okta, Ping, ADFS — authentication events, sign-in logs, token issuances, group changes.
AWS CloudTrail, Azure Activity Logs, GCP Audit Logs — IAM events, resource changes, API calls, configuration mutations.
M365, Google Workspace, Salesforce, Slack — access events, sharing changes, OAuth grants, email activity, data access logs.
EDR telemetry — process creation, network connections, file system events, registry changes, memory activity, lateral movement indicators.
Agent interaction logs, tool invocations, MCP server calls, prompt inputs, API calls, workflow execution events from all agent frameworks.
Network flow data, DNS resolution logs, proxy logs, firewall events — C2 beaconing, DNS tunnelling, data exfiltration volume anomalies.
Continuously ingests and normalises telemetry from all six sources into a unified entity-relationship graph. Models every identity, asset, permission, trust relationship, and AI agent. Computes attack paths, blast radius, and exposure prioritisation in real time.
Continuously discovers AI agents and MCP infrastructure, models agent permissions into the Security Graph, detects prompt injection in real time, scores agent trust, and provides agent behavioural context to Atlas and Overwatch AI.
Continuously investigates every signal using graph-based reasoning over Atlas's Security Graph. Correlates activity across all six telemetry surfaces into coherent attack narratives. Performs autonomous threat hunting. Generates complete attack timelines, identifies root cause, and produces specific recommended actions for Vanguard — all without human initiation.
Receives fully investigated threat context from Overwatch AI and executes coordinated containment across all affected surfaces simultaneously. Decision engine selects the least-disruptive effective action. Checks every action against governance policies before executing. Validates containment success through a closed loop and escalates if residual risk remains.
TrustAnchor does not sit at a single layer — it is a continuous operating system for trust that runs beneath all other layers. It maintains trust scores for every entity, validates trust relationships, detects trust degradation before compromise is confirmed, orchestrates recovery to formally validated trusted states, and produces cryptographic evidence of recovery for regulatory and legal purposes.
Every layer has a distinct architectural role. Understanding each one explains why Nexus performs differently from assembled point solutions.
A continuously updating graph database that models every entity and relationship in the enterprise — identities, assets, permissions, trust paths, cloud resources, and AI agents — as nodes and edges with temporal metadata.
An autonomous investigation system that continuously processes telemetry, runs detection logic against the Security Graph, generates attack narratives, and determines what Vanguard should do — without analyst initiation.
An autonomous response engine that evaluates threat context, selects the optimal containment action, checks governance policies, executes across all surfaces simultaneously, and validates success through a closed feedback loop.
A continuous trust operating system that maintains dynamic trust scores, detects trust degradation before compromise, orchestrates formal recovery, and produces cryptographic assurance of operational health.
A purpose-built AI security layer that discovers agents, governs their identities and permissions, detects prompt injection in real time, monitors runtime behaviour, and contains compromised agents before malicious actions complete.
All five layers share a single, normalised data model for entities, relationships, events, and trust scores. There are no integration translation layers — every component speaks the same data language natively.
The Nexus operational loop runs continuously and autonomously. From signal ingestion through investigation, decision, execution, and validation — every cycle tightens the platform's operational intelligence.
Telemetry from identity providers, cloud platforms, SaaS applications, endpoints, AI agents, and network infrastructure is ingested continuously and normalised into the Nexus unified data model. Every event is enriched with contextual metadata — source, entity identifiers, trust context, timestamp, and confidence score — before it reaches the Security Graph. Ingestion latency is sub-minute for all connected sources.
Normalised events are applied to Atlas's Security Graph as graph mutations — adding nodes, updating relationships, changing permission states, and modifying trust bindings. After each significant mutation, Atlas recomputes affected attack paths and updates exposure prioritisation scores. When a new service account is created, a permission is escalated, or an OAuth grant is issued, Atlas knows within minutes and updates the graph accordingly.
Overwatch AI continuously evaluates the event stream against its detection rule library and the Security Graph. When an event or sequence warrants investigation, Overwatch AI starts immediately — querying the Security Graph for entity context, enriching with threat intelligence, correlating related events across surfaces, and building a complete evidence chain. The investigation loop typically completes within 5 minutes for standard incidents and faster for high-confidence matches.
As investigation proceeds, Overwatch AI queries TrustAnchor for current trust scores for every entity involved in the incident — identity trust, device trust, session trust, and for AI-related incidents, agent trust scores from AgentShield. Trust context materially affects investigation priority ranking and containment action selection, ensuring that a low-trust identity performing suspicious actions is treated differently from the same actions by a high-trust identity.
With investigation complete, Overwatch AI generates specific recommended containment actions for Vanguard, ranked by effectiveness and business disruption impact. Vanguard's decision engine evaluates each recommendation against current trust scores, business criticality of affected assets, active governance policies, and blast radius modelling from Atlas. Actions are classified as autonomous, analyst-approved, or executive-approved before execution proceeds.
Authorised containment actions execute simultaneously across all affected surfaces — identity systems, endpoints, cloud environments, SaaS platforms, and AI agent infrastructure — in a single coordinated action. Coordination is essential: piecemeal containment that executes sequentially alerts attackers and allows pivoting to alternative access. Nexus contains all vectors simultaneously, eliminating the attacker's ability to adapt before full containment is achieved.
Following containment, Vanguard runs continuous validation checks — confirming that attacker access is removed, that no residual risk remains, and that affected systems are behaving normally. TrustAnchor concurrently validates the trust state of all affected entities and initiates recovery orchestration where required. The incident is not closed until both containment validation and trust re-establishment are confirmed and documented.
Every completed incident cycle feeds back into the platform's operational intelligence. Atlas updates the Security Graph with any new attack paths or relationships discovered during the investigation. Overwatch AI updates its behavioural baselines. Detection rules are refined based on investigation outcomes. Trust scores are updated with incident context. Each cycle makes the platform measurably smarter than the last.
Nexus is engineered for deployment flexibility. The same platform architecture supports cloud-native, hybrid, and air-gapped environments without capability compromise.
A security platform with weak security is a liability, not an asset. The Nexus platform is designed, built, and operated to the highest available security standards.
Request a technical architecture briefing with our solutions engineering team — and see how Nexus would deploy in your specific environment.
