How Automation Anywhere Brought Secure AI Agents to 5,000+ Enterprise Customers
Automation Anywhere's customers were ready for AI. But sensitive data was in the way. Here is how Protecto helped them ship secure AI agents to 5,000+ enterprise customers.
5,000+
7-Figure
Days
Zero
Customers wouldn't approve AI without data protection
Thousands of enterprise customers shared the same worry: if an AI agent can read sensitive data, who controls what it sees? Each needed its own protected environment, its own rules, and its own usage reports. No ready-made tool did all of that at that scale.
Deleting data breaks AI
Most tools block or replace sensitive fields — a name becomes [REDACTED], an account number disappears. That works for simple reports but starves an AI agent of the context it needs to summarize, analyze, or decide. The output becomes unreliable.
Built to protect data at enterprise scale, from day one.
No custom engineering. No extra infrastructure per customer. Four reasons it landed with both the platform team and their customers' security reviewers.
One platform for all customers
A new protected environment is a single API call — each customer gets its own private space, data rules, and usage reports. None of it needs manual setup.
Context-preserving masking
Protecto replaces a value with a stand-in that keeps the same format and meaning. Agents still read and understand the content, so the output stays accurate.
No engineering per new customer
Adding a customer is an API call, not a deployment. Automation Anywhere integrated in days; after that, each new customer was a few lines of code.
Compliance teams said yes
Every decision is logged: what was found, how it was protected, who accessed it. Security reviewers could see exactly what was happening — and sign off.
Scans prompts, documents, and structured data for names, IDs, account numbers, and medical data. Customers choose which types to protect.
Authorized users unmask the original value when needed. Every unmask event is logged with who requested it and when.
5,000+ tenants on one shared platform — each with separate data, rules, and reports, no per-customer infrastructure.
VP, Platform Engineering
Enterprise Automation Platform Partner
Data protection became a native part of the platform — and the deals compliance had frozen started closing.
- Large-scale AI adoption enabled across thousands of enterprise customers.
- Security and compliance stopped being a reason deals fell through.
- Multiple seven-figure enterprise deals began moving forward again.
- Secure AI agents became practical at platform scale, no extra infra per customer.
- Any AI platform selling to enterprises faces the same challenge: give every customer the data protection they need without building a separate system for each.
- The answer is a single, shared protection layer each customer configures on their own — exactly what Protecto was built for.
- Not solving it has a real cost: deals stall at security review, pilots never reach production. In regulated industries, a working protection layer is what lets you sell.
- Full situation, blocker, and solution breakdown
- Requirements that drove the platform decision
- Reasons the integration worked at enterprise scale
- Outcome metrics: tenants, revenue, and time-to-market
Building AI agents with sensitive data?
Protegrity stops at the database. Protecto governs the entire path, from where data sits to where AI uses it. No migration. No platform replacement. API-first and production-ready in days.
- SOC2 Certified
- HIPAA Compliant
- GDPR Ready
- ISO 27001