Adaptive intelligence
Per-identity baselines learn what normal looks like—so anomalies stand out immediately, not after a breach report arrives.
Adaptive identity governance for zero-trust environments
Identity Armour combines five evaluation vectors, adaptive baselines, and automated response playbooks to deliver continuous, risk-aware access decisions—so compromised credentials are caught before they cause damage.
The reality today
Credential abuse remains the leading breach vector. Static policies and manual response cannot keep pace with attackers who learn your environment faster than your security team can triage alerts.
The gap is not more authentication factors—it is continuous evaluation, adaptive baselines, and automated response working together to contain threats at machine speed.
Attackers evolve faster than threshold-based rules can follow. Without baselines that learn per-identity behavior, compromised credentials slip through generic policies undetected.
Manual triage takes hours or days. Every minute between detection and containment is a minute lateral movement goes unchecked—turning a single compromised identity into a full breach.
Different teams have different risk appetites. When every tenant is forced into the same security posture, developers face unnecessary friction while high-risk environments lack adequate controls.
What we believe
Identity Armour weaves governance, telemetry, and enforcement into one layer—so operators see risk clearly and act with evidence.
Per-identity baselines learn what normal looks like—so anomalies stand out immediately, not after a breach report arrives.
Pre-built playbooks respond in real time: suspend, quarantine, revoke, or escalate—shrinking the window between detection and containment.
Every tenant configures their own security posture with named profiles or custom vector weights—governance that matches how each team actually operates.
Platform capabilities
Adaptive risk scoring, automated enforcement, and governance workflows in one opinionated layer—fewer hand-built integrations, faster time to confident decisions.
Per-identity baselines learn from behavioral observations over time using EWMA. When sessions deviate from what is normal—new country, unusual hours, unfamiliar device—the engine flags it instantly.
Every session is evaluated across device posture, behavioral analytics, geo-risk, session integrity, and anomaly detection—producing a composite confidence score that drives enforcement.
Pre-built playbooks suspend on low confidence, quarantine on baseline drift, revoke on impossible travel, and escalate privilege anomalies—all without manual intervention.
Tenants choose from named profiles—high-security, developer-friendly, compliance-strict—or define custom vector weights via API to match their risk appetite.
High-risk and privileged sessions are automatically recorded with privacy-aware redaction, then analyzed by AI to surface anomalies and accelerate investigations.
Step-up authentication triggers dynamically on confidence drops, new devices, or geographic changes—enforcing security precisely when risk demands it, not on every request.
Run formal reviewer-driven access reviews with campaign lifecycle management, bulk identity processing, and audit-ready decision trails.
Map relationships between tenants, identities, policies, and escalation paths in a live graph—with attack-path recommendations showing where to reduce blast radius.
Every revocation produces a tamper-evident, cryptographically signed receipt—providing irrefutable proof of enforcement for auditors and compliance teams.
How it works
A straight path: connect traffic, evaluate risk continuously, enforce policy, and prove it—without bolting on yet another siloed tool for each step.
Route application traffic through the gateway, connect identity providers via SCIM 2.0 or SSF, and let the engine begin building adaptive baselines for every identity.
Verdikta scores every session across five vectors—device posture, behavioral analytics, geo-risk, session integrity, and anomaly detection—producing a composite confidence score in real time.
Playbooks enforce outcomes—allow, challenge, suspend, quarantine, or revoke—based on configurable thresholds, with full traceability from signal to decision to signed receipt.
Risk-triggered session recordings, AI-powered analysis, and the Armour Graph give operators the context to investigate incidents and continuously harden access policies.
Outcomes
Illustrative focus areas for pilots and rollouts. Actual timelines and metrics depend on your environment and scope.
Evaluation vectors
5
Device, behavioral, geo, session, and anomaly detection—scored per request.
Response playbooks
5 built-in
Suspend, quarantine, notify, incident, and revoke—triggered automatically.
Baseline maturity
~10 days
Adaptive baselines reach confidence after as few as 10 behavioral observations.
Book a walkthrough—we will map Verdikta, gateway integration, and governance workflows to your current IdP and application footprint.
FAQs
Straight answers about fit, deployment, and how the platform complements your existing identity investments.
The API gateway sits in front of your applications and enriches requests with identity and telemetry context. You keep your IdP as the source of truth; Identity Armour adds continuous evaluation across five vectors, automated response playbooks, and audit-friendly records on top.
Verdikta builds adaptive per-identity baselines that learn from real behavioral observations—login hours, devices, locations, session patterns. When behavior deviates from what is normal for that specific identity, the engine flags it immediately rather than relying on generic thresholds.
Yes. Each tenant can select a named security profile (high-security, developer-friendly, compliance-strict) or define custom vector weights via API. This means a finance team can weight behavioral analytics heavily while a development team can relax device posture constraints.
Teams often start with a bounded pilot: integrate the gateway with selected apps, enable Verdikta for critical flows, then expand coverage with automated playbooks and governance reviews. Baselines begin learning from day one and mature within weeks.
Pre-built playbooks trigger actions based on real-time signals: suspend identities on sustained low confidence, quarantine on anomaly spikes, revoke sessions on impossible travel, and create incidents on privilege escalation patterns—all without manual intervention.
Yes. We support architecture reviews, documentation for controls relevant to frameworks like SOC 2 and ISO 27001, and answers to security questionnaires as part of enterprise engagements.