The SaaS and AI Visibility Gap

Today's converged SaaS and AI ecosystem is full of blind spots

Security teams can’t see how sensitive data moves across SaaS and AI apps, the identities involved, and if there are any indicators of compromise.

Core Problems

Enterprises have shifted massive amounts of sensitive data into SaaS, but visibility and control haven’t kept up.

Attackers are targeting the integrations, identities, and data flows that connect applications together.

The result?

Security teams can't identify or quickly respond to threats like OAuth token abuse, data exfiltration, or third party integrations accessing data they shouldn't.

Enterprises have shifted massive amounts of sensitive data into SaaS, but visibility and control haven’t kept up.

Attackers are targeting the integrations, identities, and data flows that connect applications together.

The result?

Security teams can't identify or quickly respond to threats like OAuth token abuse, data exfiltration, or third party integrations accessing data they shouldn't.

Enterprises need a unified SaaS and AI security platform that automatically maps sensitive data flows, identifies risky connections, and provides clear remediation guidance without adding operational complexity.

How does Vorlon complement existing tools?

Legacy SSPM tools check configurations, but miss data in motion between SaaS and AI apps and connected services.

SIEM and manual query approaches lack SaaS context and require tedious maintenance, leaving gaps unaddressed.

DSPM solutions track data at rest, but lose visibility once information flows through APIs to third parties.

SSE solutions are user-centric, have limited SaaS and AI coverage, shallow visibility, and a challenging licensing model.

Legacy SSPM tools check configurations, but miss data in motion between SaaS and AI apps and connected services.

SIEM and manual query approaches lack SaaS context and require tedious maintenance, leaving gaps unaddressed.

DSPM solutions track data at rest, but lose visibility once information flows through APIs to third parties.

SSE solutions are user-centric, have limited SaaS and AI coverage, shallow visibility, and a challenging licensing model.

The visibility gap putting your SaaS data at risk

Fragmented solutions create gaps in security coverage, increasing the risk of data breaches.

Security teams are left without context to manually piece together information, increasing blind spots and risk, and delaying response.

Legacy tools were built for static environments, not the dynamic, API-connected SaaS and AI ecosystems that dominate today's technology landscape.

You can’t stay compliant or stop threats without knowing where your sensitive data flows and who’s accessing it.

Today's converged SaaS and AI ecosystem is too fluid and complex to monitor with manual log analysis, spreadsheets, or siloed tools that can’t track data in motion.

Without visibility into your data, you don’t have the context to detect and respond to threats in this highly interconnected environment.

Fragmented solutions create gaps in security coverage, increasing the risk of data breaches.

Security teams are left without context to manually piece together information, increasing blind spots and risk, and delaying response.

Legacy tools were built for static environments, not the dynamic, API-connected SaaS and AI ecosystems that dominate today's technology landscape.

You can’t stay compliant or stop threats without knowing where your sensitive data flows and who’s accessing it.

Today's converged SaaS and AI ecosystem is too fluid and complex to monitor with manual log analysis, spreadsheets, or siloed tools that can’t track data in motion.

Without visibility into your data, you don’t have the context to detect and respond to threats in this highly interconnected environment.

When you can see the whole picture — how sensitive data moves, who (or what) is accessing it, and what they’re doing — you can proactively secure your SaaS and AI ecosystem.

The New Approach

See how you can get near real-time insight into how data flows across your apps and connected services.

See the New Approach

The SaaS and AI Visibility Gap

Today's converged SaaS and AI ecosystem is full of blind spots

Core Problems

The result?

The result?

Enterprises need a unified SaaS and AI security platform that automatically maps sensitive data flows, identifies risky connections, and provides clear remediation guidance without adding operational complexity.

How does Vorlon complement existing tools?

The visibility gap putting your SaaS data at risk

When you can see the whole picture — how sensitive data moves, who (or what) is accessing it, and what they’re doing — you can proactively secure your SaaS and AI ecosystem.

See how you can get near real-time insight into how data flows across your apps and connected services.

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