Replace legacy DLP with a platform built for how data moves now
Legacy DLP was built for the perimeter: regex rules, heavy agents, and alerts that arrive after the data is gone. Nightfall replaces it with AI-native detection, real-time enforcement, and one platform across SaaS, endpoint, email, browser, and AI, so you stop tuning a tool from 2012 to catch risks from 2026.
Legacy DLP was built for a world that no longer exists
It assumed data lived behind a network boundary, moved through a few known channels, and could be identified by pattern matching. None of that is true anymore. Data lives in SaaS, moves through browsers and AI apps, and gets handled by agents as often as people.
The result: a tool your team spends more time tuning than trusting.
Blind to where data moves now
Browser tabs, AI prompts, file uploads to ChatGPT, agent tool calls, SaaS-to-SaaS sharing. Legacy DLP watches the network edge while the data leaves through the front door.
Noise instead of signal
Regex and keyword rules flag anything that looks like a number. Months of manual tuning, a queue full of false positives, and a team too small to triage it.
Alerts after the fact, across four tools
By the time the alert fires, the data is gone. And because coverage is split across SaaS DLP, endpoint DLP, email security, and GenAI governance, nobody can see the full path it took.
Five things a replacement has to get right
Replacing DLP isn’t a lift-and-shift of old rules into a new console. It’s a different model: detect by meaning, see the whole path, act in real time, and switch over without a rip-and-replace.
Built for replacement
Run side-by-side, migrate policies, retire the old agent
AI-native detection
Pre-trained LLM and computer vision models classify PII, PHI, PCI, secrets, and credentials with 95% precision out of the box. Semantic detection catches “our unreleased financials” the same way it catches a formatted card number, because the risk is in the meaning, not the pattern. No regex library to maintain.
- 95% precision
- PII · PHI · PCI
- Secrets & credentials
- Semantic
> detect model=nightfall-llm-v4 input="Q3 board deck draft" class=confidential confidence=0.96 regex_match=none
Full data lineage
Trace a file from its SaaS origin, through an endpoint download, to wherever it ends up, across every channel it touched. Legacy DLP gives you an event; Nightfall gives you the whole path, so an investigation starts with the story already assembled.
- Cross-channel
- Every hop
- Investigation-ready
> lineage slack#finance → download → ~/Desktop → gmail(personal) → chatgpt.com hops=4 user=j.ortiz
Real-time remediation
Block, redact, quarantine, or revoke the moment a policy fires, across SaaS, endpoint, email, and browser. Legacy DLP alerts after transmission. Nightfall acts before it, and lets you choose monitor, coach, or block per policy.
- Block
- Redact
- Quarantine
- Revoke
- Monitor · Coach · Block
> remediate channel=email action=QUARANTINE before_send=true user_notified=true latency=0.3s
Human Firewall coaching
Most violations aren't malicious. Contextual, in-the-moment coaching tells the employee what was caught and why, with self-remediation so they can fix it themselves. Security awareness builds automatically, and the queue stops filling with things a nudge would have solved.
- Contextual coaching
- Self-remediation
- Fewer tickets
> coach channel=slack user=a.patel msg="This file has 2,100 customer records. Remove the public link?" self_remediated=true
Deploy in days, run side-by-side
Native APIs and lightweight agents, no proxies, no certificates, no network re-architecture. Run Nightfall in monitor mode alongside your current DLP, compare the queues, migrate the policies worth keeping, and retire the old agent on your schedule.
- No proxy
- No certificates
- Monitor mode
- Policy migration
> deploy method=api+agent endpoints=4,812 elapsed=3d legacy_dlp=parallel(monitor) cutover=scheduled
Four tools’ worth of coverage. One policy engine.
SaaS DLP, endpoint DLP, email security, and GenAI governance usually mean four contracts, four consoles, and gaps at every seam. Nightfall covers all four with one detection model, one set of policies, and lineage that doesn’t break when data crosses a channel.
SaaS
12+ native API integrations: Slack, Google Workspace, Microsoft 365, Salesforce, GitHub, Zendesk, Notion, Jira, Confluence, and more. Data at rest and in motion, no agents on the SaaS side.
Endpoint
Lightweight Mac and Windows agents cover USB, desktop apps, clipboard, and local file movement, including data flowing to apps with no direct integration at all.
Native Gmail and Exchange Online coverage, the single highest-volume exfiltration channel, monitored with the same detection and policy engine as everything else.
Browser & AI Apps
Real-time monitoring across Chrome, Firefox, Safari, and Edge, including what gets typed, pasted, or uploaded into ChatGPT, Copilot, Gemini, and other AI tools.
Less tuning. Fewer tools. Data that actually stays put.
SaaS DLP, endpoint DLP, email security, and GenAI governance usually mean four contracts, four consoles, and gaps at every seam. Nightfall covers all four with one detection model, one set of policies, and lineage that doesn’t break when data crosses a channel.
Precision out of the box
Pre-trained LLM and computer vision models hit 95% precision without months of rule-writing. Feedback from one channel improves detection on every other, instead of every tool learning in isolation.
One platform, not four point tools
SaaS DLP, endpoint DLP, email security, and GenAI governance in one platform with one policy engine. Lineage that doesn’t break at the tool boundary, and no seams for data to slip through.
Live in days, not quarters
Native APIs and lightweight agents instead of proxies, certificates, and heavy endpoint installs. Run alongside your current DLP, migrate policies, then turn the old one off.
Legacy DLP vs. Nightfall
| Legacy DLP | Nightfall | |
|---|---|---|
| Detection | Regex and keyword rules, months of manual tuning | Pre-trained AI models, 95% precision out of the box |
| Coverage | Network edge and endpoint; blind to browser, AI apps, agents | SaaS, endpoint, email, browser, AI apps, one platform |
| Response | Alert after the data has left | Block, redact, revoke, or coach before it leaves |
| Lineage | Event-level, breaks at each tool boundary | Continuous, origin to destination |
| Tuning | Repeated per tool, per channel | Learned once, applied across channels |
| Deployment | Months, heavy agents, proxies and certificates | Days, native APIs and lightweight agents, runs side-by-side |
Your DLP was not built for the AI era.
AI-native detection, real-time control, one platform for every way data moves. AI moves your data. Nightfall controls it.
- A 30-minute call
- Tailored to your stack
- No slideware
