Co-authored by Constella Intelligence and Kineviz
As infostealer malware continues to scale in reach, automation, and precision, organizations face an increasingly urgent challenge: a lack of comprehensive visibility across their identity exposure landscape. While credential leaks and cookie thefts are often detected in isolation, without centralized and time-aware analytics, security teams cannot understand the true extent and persistence of the threat.
This article outlines the critical elements required to close this visibility gap. Using data provided by Constella’s Identity Breach Report and delivered through Kineviz’s graph-powered analytics platform, we explore how organizations can use exposure segmentation, behavioral analysis, and temporal monitoring to turn infostealer intelligence into protective action.
Visualizing Strategic Exposure: From Fragmented Incidents to Global Awareness
Identity issues frame a variety of threats. They are critical when attempting to assess which geographies are under attack, whether certain countries are more targeted by threat actors, or whether there are internal deficiencies, such as low levels of security awareness or weaker hygiene practices that lead to password or credential sharing.
The larger the organization, the greater the hazard. Why? Because identity (however defined) is the key to access every subgroup, unit, division, and device. Without a consolidated view that links infections, credentials, and threat activity across countries and business units, security and risk leaders are forced to work with fragmented signals.
The challenge is to put all of this disparate information into a context that makes it possible to choose a plan of action. In a visual environment that explicitly shows connection between data, such as Kineviz’ GraphXR, organizations can, for example, transform raw infostealer logs into dynamic, interactive intelligence maps.
Such maps allow decision-makers to explore the identity threat surface across regions, teams, and technologies, making it possible to identify hotspots.
More specifically, using the information to track password patterns across regions, an organization might discover that offices in a specific country consistently use weak or reused credentials. Or, perhaps that local employees are registering corporate email addresses on high-risk consumer platforms. Such maps could reveal that regional exposure aligns with known adversary operations or geopolitical targeting patterns.
Such operational intelligence cannot be derived from isolated alerts or static dashboards. It requires the ability to explore and interact with relational data at scale, enabling organizations to go beyond detection towards true understanding.
Temporal Trends: Seeing Exposure Over Time
Timeline-based monitoring is another key element in closing the visibility gap. Security teams need to know:
- Is our phishing training actually reducing infections?
- Did the endpoint protection upgrade in Q2 reduce exposure?
- Are infections spiking after software rollouts or travel seasons?
Tracking infostealer telemetry across time reveals trends otherwise buried in static lists. By visualizing when credentials are exfiltrated, reused, or republished on dark web markets, organizations can assess whether their controls are working—or whether attackers are simply shifting vectors.
Kineviz’ GraphXR helps analysts slice infostealer intelligence by time, helping them detect waves of infections, correlate attacks with specific events (e.g., policy changes, layoffs, partner integrations), and measure the impact of remediation efforts.
Timeline showing when devices from various countries were compromised. Time is reflected on horizontal axis, and allows for zoom and expansion.
This timeline, shown over the map, reflects the same data as the image above. The vertical reflects time. The lower the data point, the earlier the incident. This allows the analyst to see both when and where incidents occurred.
Behavioral Weaknesses: The Hidden Patterns Behind Exposure
Besides geography and time, poor identity hygiene remains a critically underexplored root cause of infostealer impact. Constella’s analysis of 2024 data revealed multiple habitual behaviors driving exposure risk:
- Password reuse across personal and corporate services remains widespread.
Infected users routinely store both business and consumer credentials in browser autofill. - Shared credentials in production environments, particularly among DevOps and engineering teams, continue to appear across stealer logs, suggesting systemic violations of identity isolation policies.
- Weak passwords that clearly violate corporate policy appear not only in internal systems, but on third-party platforms where employees use work credentials for unapproved services.
These behaviors persist because they are difficult to detect in real time. However, the data forms clear patterns when infostealer logs are aggregated and visualized. Visual analytics reveal behavioral clusters, groups of employees using the same root passwords, storing credentials across unrelated services, or sharing privileged access. This behavioral context enables targeted interventions, not generic awareness campaigns. Now analysts can pivot from “this account was exposed” to “this role, region, or department has a recurring pattern of weak password usage.”
From Incident Response to Exposure Management
To close the visibility gap, organizations must elevate their infostealer response from tactical containment to strategic intelligence. This transformation depends on five key strategies:
- Centralize global telemetry
Aggregate infostealer logs, credential leaks, and identity artifacts across all organizational domains, subsidiaries, and regions. - Visualize exposure context
Use platforms like Kineviz to connect identity elements, employee roles, geographic regions, and session data in real time, enabling meaningful exploration and segmentation. - Track remediation over time
Build timeline-based workflows that show how infection rates and exposure patterns evolve after security initiatives, training campaigns, or infrastructure changes. - Detect patterns at the organizational level
Move beyond individual detections to surface collective risk signals, such as password reuse clusters or role-based exposure profiles. - Translate visibility into strategic policy
Leverage this intelligence to inform acceptable use policies, endpoint configurations, access controls, and region-specific training efforts.
Final Thoughts
The volume of exposure is no longer the primary challenge. The real threat lies in the lack of insight. Without centralized, temporal, and behavioral visibility, organizations are forced to remain reactive, merely treating symptoms while systemic vulnerabilities persist beneath the surface.
By combining Constella’s deep infostealer intelligence with the advanced visual analytics provided by Kineviz’ GraphXR, organizations gain the ability to see their exposure, not just list it. This visibility enables faster response, more effective remediation, and ultimately, better decisions to promote enterprise security.
