Platform
Twelve layers of defense in one operating model
IronSOC unifies detection, identity protection, exposure management, and active defense into a single SOC platform. Every capability is built to compound — enrichment feeds detection, detection informs posture, posture reduces exposure. The result is an operating model where accuracy scales with coverage, not against it.
First principle
Accuracy is the foremost metric — not efficiency.
A SOC that auto-closes fast but misses threats is worse than no SOC at all. Every layer in this platform exists to improve the correctness of the final decision: multi-signal correlation, learned baselines, fractional deployment, human audit trickle. Speed is a consequence of getting the architecture right — never the goal itself.
Detect & Respond
Extended Detection & Response (XDR)
Integrated cross-layer detection across endpoint, network, email, cloud, and identity. Automated correlation stitches raw signals into attack timelines with full provenance — no manual pivot required.
Identity Threat Detection (ITDR)
Behavioral baselining per identity, impossible-travel detection, privilege-escalation tracking, service-account monitoring, and cross-domain correlation. 68.6% of threats are identity-based (Expel 2025) — identity is the primary attack surface.
Detection Engineering & Validation
Version-controlled detections with automated breach-and-attack simulation (BAS), MITRE ATT&CK and ATLAS coverage mapping. Only 34% of SOCs use automated BAS today (SOC-CMM 2025) — we treat it as table stakes.
Analyst Operations
AI-Assisted Filter Authoring
AI drafts filters; an analyst approves. Deployment is fractional: Draft, Shadow, Partial, Active, Retired. A rollback machine replays past events through candidate filters before committing. Filter state is visible in the console at all times.
SOC Automation & Orchestration
Enrichment auto, triage auto, response recommendation, low-risk auto-close with 90/10 audit trickle, high-impact approval gating. Post-SOAR architecture — orchestration without the brittle playbook sprawl.
Autonomous Enrichment
AI pulls threat intel, CVEs, machine specs, OSINT, and compliance context automatically on every alert. Every source is cited and freshness-timestamped — no stale intelligence, no hallucinated context.
Exposure & Posture
Continuous Threat Exposure Management (CTEM)
Five phases: Scope, Discover, Prioritize, Validate, Mobilize. Operates upstream of detection to reduce the exploitable surface before adversaries reach it. Only 18% of CVSS-critical vulnerabilities prove genuinely critical in context (Sweet Security 2025).
Cloud-Native Security Posture (CNAPP)
Unified view correlating CSPM, CWPP, CIEM, and DSPM findings into exploitable attack paths. Runtime context over static severity — a misconfiguration matters only if it is reachable and weaponizable.
Asset Context Map
Live profile of every asset: identity, function, baseline traffic, deviation indicators, navigable relationship graph. Not a static CMDB dump — the map updates continuously and powers every detection and enrichment decision.
Active Defense & Ecosystem
Virtual Lab + Deception
Sandbox for testing detections, replaying incidents, and validating playbooks. Honeypots and canary tokens deployed in-network with near-zero false-positive rates — attacker activity on deception assets is ground truth.
Bidirectional Integrations
Ingest from appliances and on-demand query-back for additional context: EDR process trees, firewall rules, cloud IAM policies, on-demand rescans. The analyst never leaves the console.
Incident Contact Roster
Structured directory of ISPs, vendors, peer SOCs, and internal stakeholders. Contextually linked to assets and incident types with escalation tracking during live incidents.
Design doctrine
How the platform is built
Accuracy over efficiency
Speed means nothing if the wrong things are escalated or the wrong things are suppressed. Every design decision optimizes for correct outcomes first — throughput follows.
Multi-layered defense
Twelve capabilities are not twelve products bolted together. Each layer validates the others: enrichment informs detection, detection informs posture, posture informs exposure management.
Fractional deployment
Nothing flips from off to on. Filters progress through Draft, Shadow, Partial, Active, and Retired. Automations start gated and earn autonomy. The platform replays history before committing.
Detection-as-code
Every detection, playbook, and AI policy is version-controlled, peer-reviewed, CI-tested, and deployed through a release pipeline. Rollback is a revert — not a ticket.
Open standards first
OCSF for telemetry normalization, Sigma for detection portability, STIX/TAXII for threat intelligence, OpenTelemetry for observability. No proprietary lock-in at any layer.
The 90/10 doctrine
Automation clears the queue; a deterministic 10% of everything it closes is trickled back to a human for audit. The engine never trusts itself to be right — by design.
Platform metrics
Performance by the numbers — measured
Triage figures recompute from the AgentSOC-Bench held-out split on every render. Synthetic benchmark today; customer eval sets run through the same harness.
See the platform in action
Explore the interactive SOC — real-time operations, live telemetry, and response orchestration.