Aryaka Next-Gen DLP is a data loss prevention capability built directly into the Aryaka Unified SASE platform. It uses AI-powered analysis, natural language processing (NLP), named entity recognition (NER), image-based detection, and API inspection to detect and stop sensitive data exposure across users, applications, networks, and AI tools in real time.
Traditional Data Loss Prevention tools were designed to identify sensitive information using predefined rules and pattern matching. That approach worked well when data stayed inside a corporate perimeter. It does not hold up when employees are working across SaaS applications, cloud services, AI tools, and remote networks every day.
Unlike standalone solutions, Aryaka Next-Gen DLP is delivered through Aryaka’s OnePASS architecture, which lets security services inspect traffic once across all controls in a single pass, rather than routing it through separate point products and consoles.
NLP, NER, image-based detection, and contextual analysis work together to identify sensitive information with greater accuracy than pattern matching alone.
Inspect and enforce policy on sensitive data inline before it leaves your organization: redact or mask data where supported, log it, or block it outright. No separate DLP endpoint agent required.
Policy enforcement and security events are managed through a single experience in MyAryaka, not a separate console bolted onto your existing stack.
Nearly nine in ten organizations now use AI in at least one business function, creating new pathways for sensitive information to leave through channels traditional DLP was never designed to cover.
Breaches involving AI run about $6M on average, roughly $1M costlier than the norm, as employees share information across SaaS apps, cloud services, APIs, and AI assistants.
Of 240 jurisdictions worldwide now have data protection frameworks in place. Organizations must demonstrate stronger controls under GDPR, HIPAA, PCI DSS, and other evolving requirements.
As data becomes more distributed across SaaS, cloud, and AI-powered workflows, security teams need visibility and policy enforcement that follows the data, not just the perimeter.
Data doesn’t stay inside your perimeter anymore. It moves through AI tools, SaaS applications, remote workers, and branch offices. Legacy DLP wasn’t designed for this, and the gaps widen every quarter.
When an employee pastes a customer contract into ChatGPT or Copilot, legacy DLP never sees it. The data leaves before anyone knows there was a risk.
Your DLP tool, your SASE platform, and your network are three separate systems. Separate consoles. Separate policies. Separate teams carrying the operational load.
Legacy DLP requires ongoing tuning, generates high false-positive rates, and needs dedicated headcount to stay functional. The complexity tax compounds every quarter.
If you’re already on Aryaka SASE, DLP activates within your existing environment, with no new procurement cycle and no rip-and-replace. Protection in days, not months.
Inline inspection covers traffic from remote workers, branch offices, SaaS apps, and API calls to LLMs, inspected once, in real time, through a single policy layer.
Named entity recognition, NLP, and image OCR replace brittle regex rules, cutting false positives compared with pattern matching alone. Your team spends time on decisions, not maintenance.
Pre-built policy packs for GDPR, HIPAA, and PCI DSS. One-click audit reports and centralized, immutable logs help your team respond quickly when an auditor calls.
Separate product deployment
Multiple management consoles
Pattern matching and regex focused
Limited visibility into modern AI workflows
Additional operational overhead
Multiple vendors and integrations
Built into Unified SASE
Unified management through MyAryaka
AI-powered NLP, NER, OCR, and contextual analysis
Inspection of API and AI-related traffic
Managed service delivery
Single-platform security architectureMost DLP solutions were added to existing environments as standalone tools. Aryaka takes a different approach by integrating DLP into a unified networking and security architecture alongside Secure Web Gateway (SWG), CASB, and other security services, helping organizations simplify operations while improving visibility and control.
Aryaka Next-Gen DLP extends data protection across the same global managed SASE platform enterprises already trust for networking and security.
Global enterprises running on Aryaka SASE today
Trusted by leading Fortune 500 enterprises
Global Points of Presence powering Aryaka’s managed SASE platform
Of knowledge workers are within 30 ms of an Aryaka service location
Detects Social Security numbers, financial account details, and payment card data (PAN) in motion, supporting PCI DSS scope reduction.
Inspects files uploaded to Salesforce, Box, Dropbox, and Google Drive before sensitive attachments leave managed control.
Applies policy to HTTP/HTTPS traffic, web forms, and file transfers so documents aren’t exposed through everyday browsing.
Flags unusual data movement, such as large or repeated transfers to personal email or unsanctioned destinations, before it becomes an investigation.
Scans prompts and API calls to ChatGPT, Microsoft Copilot, and other AI tools for sensitive data before it reaches the model.
Your employees use ChatGPT, Copilot, and other AI tools every day. Most aren’t trying to cause a breach, but pasting a customer list, a contract draft, or proprietary source code into a prompt can move sensitive data outside your control. Traditional DLP was never built to catch it.
Account executive copies a client’s financial terms and pastes them into ChatGPT to draft a proposal.
The request travels over the web. Legacy DLP sits outside the network and sees nothing. No alert. No block.
The data is processed by a third-party LLM. It may be logged, retained, or used for model training.
The exposure surfaces later, often in a compliance audit.
The same request travels through Aryaka’s network and hits the inline DLP inspection layer at the PoP.
AI-powered NLP detects PII and confidential financial terms inside the API request body, in real time.
Sensitive fields are redacted or masked where supported, or the request is blocked entirely, per your policy.
The event is logged in MyAryaka with full context, giving your team visibility to investigate.Policy enforced automatically, with full visibility for your security team, instead of a discovery made months later in an audit.
This isn’t a niche edge case
Gartner estimates that by 2027, over 40% of enterprise employees will use AI assistants daily as part of their core workflow, one more path for sensitive data to leave alongside SaaS uploads, web traffic, and email. Network-based inspection gives security teams a way to extend visibility across all of these paths from a single control point.