Connects asset inventory, exposure scanning, automated assessments, control mapping, and predictive AI into one risk intelligence engine.
Core Platform
Observeri is an AI-powered platform that transforms fragmented risk, compliance, and security data into real-time, quantified risk intelligence—enabling organizations to prioritize, predict, and reduce risk exposure with precision.
Observeri replaces static GRC systems with an AI-driven risk intelligence engine that continuously analyzes threats, vulnerabilities, assets, and controls to quantify real-world risk exposure and prioritize actions that deliver maximum risk reduction.
Observeri GRC v3.0
80%
Targeted remediation removes the highest exposure first.
60%
Evidence, assessment, reporting, and routing work move out of spreadsheets.
3,000+
Pre-mapped libraries across security, compliance, cloud, and governance.
80+
Operational and executive views for risk, compliance, assets, SLAs, and incidents.
Connects asset inventory, exposure scanning, automated assessments, control mapping, and predictive AI into one risk intelligence engine.
Generates risk exposure scores, incident likelihood predictions, control effectiveness scores, and compliance risk forecasts.
Centrally manages remediation issues from audits, regulatory inspections, security assessments, and external assessments with configurable SLAs and automated expiry alerts.
Centralizes incident reporting, classification, assignment, investigation, remediation, and executive oversight.
Manages vendor onboarding, contracts, assessments, risk prioritization, gap remediation, and continuous monitoring.
Combines threat registration, attack surface visibility, threat intelligence, and AI-assisted analysis for faster prioritization.
Tracks vulnerabilities with CVE, CVSS, EPSS, exploit context, SLA aging, remediation queues, and program health analytics.
Launches authorized web scans, reviews findings by severity, and pushes validated results into the vulnerability workflow.
Unifies governance KPIs, budgets, control assessments, document repositories, and AI-supported policy comparison.
Quantifies user exposure using identity context, privilege impact, trust indicators, anomaly signals, and environmental risk.
Selects frameworks, maps requirements, runs assessments, produces gap registers, and suggests remediation plans.
Ingests assets through API, ETL, or entry, then scores risk using business value, data classification, CIA impact, and exposure data.
Generates framework-aligned policies, compares documents against regulations, identifies gaps, and builds compliance reports.
Surfaces live metrics for high-risk assets, human risk exposure, heat maps, SLA monitoring, and predictive risk to drive investment and remediation decisions.
Observeri shifts teams from reactive checklists to continuous risk prevention with quantified exposure, automated workflows, and executive-ready dashboards.