DATA-CENTRIC SAAS SECURITY

Harden your SaaS+AI ecosystem, accelerate innovation, and stop data breaches

Secure your converging SaaS and AI ecosystem at the data layer—not just configurations. Catch stolen tokens, shadow AI actions, and risky data flows in real time.

Sensitive data is always on the move

Sensitive data moves between thousands of apps, identities, AI tools, and integrations.

Unsanctioned tools expand exposure

Employees adopt unauthorized SaaS and AI tools, creating hidden channels for data leaks.

Departed users retain access

Former employees — and the non‑human identities they created — continue to hold access to sensitive apps and data.

Excessive permissions widen the attack surface

APIs and MCP servers power integrations, but misconfigurations and over‑granted rights expose critical data.

Legacy DLP misses data in motion

Endpoint‑ and network‑centric DLP tools don’t secure sensitive data flowing between SaaS apps.

Point solutions can’t see the whole picture

App‑specific DLP catches some user behaviors but misses ecosystem‑wide risks.

Sensitive data is always on the move

Sensitive data moves between thousands of apps, identities, AI tools, and integrations.

Unsanctioned tools expand exposure

Employees adopt unauthorized SaaS and AI tools, creating hidden channels for data leaks.

Departed users retain access

Former employees — and the non‑human identities they created — continue to hold access to sensitive apps and data.

Excessive permissions widen the attack surface

APIs and MCP servers power integrations, but misconfigurations and over‑granted rights expose critical data.

Legacy DLP misses data in motion

Endpoint‑ and network‑centric DLP tools don’t secure sensitive data flowing between SaaS apps.

Point solutions can’t see the whole picture

App‑specific DLP catches some user behaviors but misses ecosystem‑wide risks.

Sensitive Data Flow Mapping

Track where sensitive data actually moves — across SaaS, AI tools, integrations, and shadow apps.

Attack Surface Hardening

Eliminate unused accounts, over‑permissive access, and policy drift before attackers strike.

DLP for SaaS and AI Ecosystems

Prevent data loss between SaaS apps, shadow tools, AI agents, and SaaS‑to‑AI connections.

Ecosystem-Wide Threat Detection

Baseline data and identity activity. Detect active attacks with anomaly detection and UEBA.

Proactive Breach Prevention

Revoke or rotate risky tokens, API keys, and service accounts instantly — stopping attackers mid‑stream.

Audit-Ready Reporting

Produce compliance‑ready reports in support of SOC 2, ISO 27001, GDPR, and more — without manual screenshots.

Sensitive Data Flow Mapping

Track where sensitive data actually moves — across SaaS, AI tools, integrations, and shadow apps.

Attack Surface Hardening

Eliminate unused accounts, over‑permissive access, and policy drift before attackers strike.

DLP for SaaS and AI Ecosystems

Prevent data loss between SaaS apps, shadow tools, AI agents, and SaaS‑to‑AI connections.

Ecosystem-Wide Threat Detection

Baseline data and identity activity. Detect active attacks with anomaly detection and UEBA.

Proactive Breach Prevention

Revoke or rotate risky tokens, API keys, and service accounts instantly — stopping attackers mid‑stream.

Audit-Ready Reporting

Produce compliance‑ready reports in support of SOC 2, ISO 27001, GDPR, and more — without manual screenshots.

agentless data loss prevention for saas ecosystem

Modern DLP for SaaS is about understanding, detecting, and managing risk across a dynamic, interconnected SaaS and AI ecosystem.

Vorlon's agentless, adaptive, and risk-based approach redefines what's possible for DLP for SaaS, empowering security teams to see, control, and protect sensitive data no matter where it flows.

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See the ecosystem, not just the apps

Map apps, identities, data flows, and AI actions — risk lives in the connections.

Unify what others keep siloed

Bring data layer visibility, permissions, users, and secrets into one platform for actionable context.

Detect in real time, not in snapshots

Monitor live traffic to catch token theft, AI misuse, and data exfiltration.

Onboard innovation without the scramble

Secure SaaS and AI apps from day one with consistent, proactive onboarding, without inheriting risk.

Lower ecosystem risk, unlock growth

You share a destiny with your SaaS and AI providers. Lower ecosystem risk so you can adopt faster and scale safely.

Turn security into trust

Customers expect privacy and protection. Keep SaaS and AI data safe, strengthening reputation and loyalty.

FAQs: Get the Clarity You Need

From deployment to remediation, here’s what security leaders ask before getting started with Vorlon.

I have a traditional SSPM tool. Do I have to replace it with Vorlon?

Not necessarily. Some customers replace their legacy SSPM tools with Vorlon, others run them side by side. Think of SSPM as configuration snapshots and Vorlon as the always-on layer for real-time data and identity risk: stolen tokens, shadow AI, SaaS-to-SaaS sprawl, and live traffic monitoring that posture checks can’t touch.

How do you discover all my SaaS and AI applications?

Vorlon connects through secure, read-only API access to detect and catalog every connected app, integration, and downstream service. Discovery is continuous and automated, covering sanctioned, shadow, and AI applications as they appear in your ecosystem.

How do you identify and classify sensitive data in my SaaS applications?

Vorlon continuously monitors sensitive data in motion across SaaS applications and APIs. Out-of-the-box data classifications cover PII, PHI, PCI, and other regulated fields. You can also apply custom tags to non-standard data at the API endpoint level. Vorlon then flags anomalous access patterns, including unusual geolocations, spikes in usage, or abnormal query behavior.

How do you flag risky apps that users integrate on their own?

Vorlon evaluates every user-connected app by analyzing its permissions and data exposure level. High-risk scopes or broad access to sensitive datasets are immediately surfaced for review.

How do you monitor large data exports?

Vorlon baselines API traffic and triggers alerts around unusual queries or high-volume transfers that may indicate risky or unauthorized bulk extraction.

Can Vorlon block or prevent unauthorized bulk extraction?

Yes. Vorlon monitors OAuth scopes and connected apps for extraction attempts and can revoke the associated secret instantly to stop data loss before it spreads.

Move Fast. Stay Safe. Prove Control.

Get a live look at how Vorlon maps your converging SaaS and AI ecosystem. No agents. No proxies. No browser plugins. No delays.

Schedule Your Demo

Harden your SaaS+AI ecosystem, accelerate innovation, and stop data breaches

The risk of data loss has never been harder to control

Sensitive data is always on the move

Unsanctioned tools expand exposure

Departed users retain access

Excessive permissions widen the attack surface

Legacy DLP misses data in motion

Point solutions can’t see the whole picture

Sensitive data is always on the move

Unsanctioned tools expand exposure

Departed users retain access

Excessive permissions widen the attack surface

Legacy DLP misses data in motion

Point solutions can’t see the whole picture

See how Vorlon stops real-world attacks like the ShinyHunters Salesforce and Salesloft Drift exploits

Security isn’t snapshots. It’s what happens in between. Here’s how Vorlon closes the gap.

Sensitive Data Flow Mapping

Attack Surface Hardening

DLP for SaaS and AI Ecosystems

Ecosystem-Wide Threat Detection

Proactive Breach Prevention

Audit-Ready Reporting

Sensitive Data Flow Mapping

Attack Surface Hardening

DLP for SaaS and AI Ecosystems

Ecosystem-Wide Threat Detection

Proactive Breach Prevention

Audit-Ready Reporting

Vorlon helps you win where others can’t

See the ecosystem, not just the apps

Unify what others keep siloed

Detect in real time, not in snapshots

Onboard innovation without the scramble

Lower ecosystem risk, unlock growth

Turn security into trust

FAQs: Get the Clarity You Need

I have a traditional SSPM tool. Do I have to replace it with Vorlon?

How do you discover all my SaaS and AI applications?

How do you identify and classify sensitive data in my SaaS applications?

How do you flag risky apps that users integrate on their own?

How do you monitor large data exports?

Can Vorlon block or prevent unauthorized bulk extraction?

Move Fast. Stay Safe. Prove Control.

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