Technology & SaaS

Data security for companies that ship AI every day

Source code, customer data, credentials, and proprietary designs move through GitHub, Slack, AI coding tools, and a hundred SaaS apps. Nightfall protects all of it, across email, SaaS, AI apps, agents, and endpoints, without slowing engineering down.

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10%

of the Forbes AI Top 50 runs on Nightfall

95%

detection precision, no tuning

10×

lower total cost of ownership

80%

of incidents self-resolved by employees

The Challenge

Your most valuable asset is text. It moves at the speed of a paste.

Source code flows into unauthorized AI apps. API keys sit in Slack threads and Confluence pages. Customer data gets exported for a quick analysis. Proprietary designs are shared with a personal account the night before a departure. Legacy DLP, built for a perimeter, can’t see any of it.

Source code

Pasted into AI coding tools and personal repos

Secrets

API keys and tokens exposed in SaaS, code, and chat

Customer data

PII and PCI in support tickets, CRMs, and exports

Agents

MCP servers and coding agents acting without a human in the loop

Solution & Benefits

Secure code, credentials, and customer data without touching developer velocity

Four challenges every technology company faces, and how Nightfall handles each one.

Challenge 01

Shadow AI and AI coding tools

Employees using unauthorized AI apps create massive data leakage risks by submitting secrets and credentials in prompts, copying sensitive information, or uploading entire documents and codebases with confidential intellectual property.

> prompt.scan app=chatgpt.com user=m.chen detectors=[aws_secret, source_code] verdict=REDACT prompt_submitted=true latency=38ms

Solution

Lightweight endpoint sensors and browser plugins monitor prompts before submission and intercept file uploads to AI apps, combined with clipboard monitoring to track copy/paste from sanctioned SaaS apps. Sensitive content is redacted in-line; the rest of the prompt goes through.

Benefit

Enable secure adoption of productivity-enhancing AI apps while preventing sensitive data exposure through unauthorized channels. Innovation and protection, not one or the other.

Challenge 02

Exposed secrets and customer data

API keys, access tokens, and credentials embedded in code, chat, and collaboration apps, alongside PII and PCI in support tickets and CRMs, create severe vulnerabilities that legacy DLP tools miss or have no support to detect.

> secret.detect src=slack#eng-infra type=stripe_live_key validated=true action=REDACT owner_notified=true jira=SEC-2291

Solution

AI-powered secrets detection identifies and validates API keys, JWT tokens, passwords, and database connection strings across tens of vendors, plus PHI, PCI, and PII, with 95% precision across all apps. Historical audit plus continuous monitoring.

Benefit

Prevent unauthorized system access and data breaches by catching exposed credentials before they are published, and remediate thousands of exposures in a few clicks.

Challenge 03

Early Access

Exfiltration of intellectual property

Inadvertent or malicious exfiltration of source code through cloud repositories, AI apps, and collaboration tools. Valuable IP is easily moved through copy/paste, file uploads, personal cloud sync, USB, and digital sharing.

> exfil.block host=mbp-2291 action=usb_write file=core_repo.zip class=[source_code] lineage=github→clone→zip user_risk=94(departing)

Solution

Real-time monitoring of code repositories, AI prompts, email, file uploads, and sharing, with automated redaction and blocking. Full data lineage and session replay from corporate origin to external destination. User Risk Agents surface the person behind a pattern and deliver a written case.

Benefit

Maintain competitive advantage by preventing IP theft in real time, before intellectual property ever leaves your environment, without disrupting developer workflows.

Challenge 04

Agents acting on your data

AI agents pull from Salesforce, query databases, read files, call MCP tools, and send data onward with no human in the loop. MCP servers add capabilities without review. A read-authorized agent attempts a write. Malicious instructions hide in tool metadata.

> tool.request server=salesforce-mcp op=write scope=read-only verdict=BLOCK agent=claude-code user=j.ortiz

Solution

Six points of control across the agent runtime: user prompt, tool request, tool response, shell command, shell response, and model response, plus pre-runtime scanning of tool descriptions and skill instructions. Least-privilege MCP policies by role, data class, and time.

Benefit

Let engineering adopt coding agents and MCP servers at full speed, with every tool call inspected, logged, and distinguishable from human activity in the audit trail.

Case Studies

Loved by innovative security teams

On trusting detections

Nightfall is reliable. When it says there’s a detection, we trust that detection. For people in my field, that’s a big factor. You don’t want to waste time chasing ghosts.

Victor Sogaolu

Staff Security Engineer at Snyk

On safe AI adoption

We want to allow our folks to use the power of generative AI but in a safe and approved way. Nightfall gently redirects our people to the safe gen AI sites and helps us by blocking attempts from folks putting PII or customer data into ChatGPT and other tools.

Jay Crumb

Head of Security at Unit21

On headcount

If we didn’t have Nightfall, we would need a full-time data auditor. That’s headcount that we don’t have. Nightfall allows us to creatively solve our data security challenges.

Chris Chipman

Enterprise IT Architect

Read customer stories

Built for Your Stack

Native to the tools engineering already lives in

API integrations for your SaaS, lightweight agents for Mac and Windows, a browser plugin for AI apps, and runtime hooks for MCP and coding agents. Deploy via MDM or Chrome Enterprise in under a day. No proxies, no certificates, no network changes.