SPARK: 360-Degree Visibility into Cybersecurity Posture

The average enterprise security team operates across 40+ security tools. Each tool generates findings in its own format, with its own severity scoring, against its own asset inventory. SIEM aggregates logs but doesn't contextualize risk. CSPM tools surface cloud misconfigurations but don't correlate with identity exposures. Endpoint detection tools identify malware but don't link findings to the business value of affected systems. The result is a security team drowning in context-free findings, unable to answer the question that matters most: given everything we know about our environment, what are the top ten actions we should take this week to most effectively reduce our actual risk exposure?

SPARK's data integration layer connects to AWS Security Hub, Microsoft Defender, CrowdStrike, Qualys, Wiz, Prisma Cloud, and other major security platforms via their APIs, normalizing findings into a common data model. The normalization maps each tool's native severity and finding schema to SPARK's unified finding format, which includes: affected asset (with business context from the asset registry), finding category (misconfiguration, vulnerability, suspicious activity, identity exposure), exploitability assessment (based on threat intelligence feeds and CVSS/EPSS scores), and blast radius (what could an attacker access if this finding were exploited). This normalized, enriched finding set becomes the input to SPARK's risk prioritization engine.

360-degree visibility is only valuable if it translates into prioritized action. SPARK's risk prioritization engine applies IntelliScore™ to each finding, computing a contextual risk score that weighs vulnerability severity, asset criticality, exploitability evidence, and exposure scope. The output is a ranked action list—the ten most important security actions this week, with associated remediation guidance and estimated risk reduction—that lets security teams allocate their finite capacity to the highest-impact work. SPARK's integration with ticketing systems (ServiceNow, Jira) automates the creation of remediation tickets with appropriate priority and routing, connecting security findings to engineering workflows.