Nightfall AI Triples New ARR in Record Q3 as AI Agents Reshape Data Security
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Financial Services

Secure AI at work. Keep regulated data‍ inside the lines.

Nightfall stops customer financial data, credentials, and proprietary models from leaving through AI agents, copilots, SaaS, email, and endpoints — and gives you the evidence PCI, GLBA, and NYDFS examiners ask for.

The Shift

AI changed how financial work gets done. Your DLP didn’t notice.

Control what AI agents access, execute, and expose. Secure how employees use AI applications — without slowing the business down.

Analysts work in copilots now.

Models, deal memos, and client data get pasted into ChatGPT, Copilot, and Gemini every day. Legacy DLP inspects files and email — not prompts.

Agents act on your data.

MCP servers and AI agents read CRM, email, and docs and take actions on their own. Nobody approved what they can access or send.

Sharing is the new exfiltration.

One Drive link, one Slack channel, one Salesforce export — regulated data leaves without a file ever being “downloaded.”

Where financial services teams

‍start with Nightfall

Secure AI and agents

Govern what employees paste into AI tools and what agents can access and expose — inline, before data leaves.

Explore MCP & AI agent security

Replace legacy DLP

Retire Symantec, Forcepoint, or Purview DLP with coverage for SaaS and AI, fewer false positives, and no appliances.

Stop exfiltration and insider risk

Catch proprietary models, customer records, and credentials moving to personal accounts, USB, or unsanctioned apps — with full lineage.

Explore data exfiltration prevention
What We Solve

Four risks every financial services CISO is being asked about

Risk 01

Proprietary IP walks out the door

Trading algorithms, pricing models, and investment strategies move through email, cloud storage, and collaboration tools — by a departing employee or an honest mistake.

What Nightfall does

Monitors every channel in real time, blocks the transfer, and records who moved what, where, and when.

Outcome

Keep your edge without slowing legitimate collaboration — and have forensics ready if you need them.

Risk 02

Shadow AI and agents touch regulated data

Advisors and analysts use unsanctioned AI tools; agents connected through MCP read and act on customer data with no guardrails.

What Nightfall does

Browser and lightweight endpoint sensors inspect prompts before submission; agent-level controls govern what AI can access and expose.

Outcome

Say yes to AI adoption with controls an examiner will accept.

Risk 03

Credentials and PCI data sit exposed in SaaS

API keys, account credentials, and cardholder data end up in Slack threads, Jira tickets, and shared docs — the raw material for fraud.

What Nightfall does

AI-native detection finds PCI, PII, secrets, and credentials across SaaS and AI apps, and remediates automatically.

Outcome

Close the exposure before it becomes an incident or an audit finding.

Risk 04

Client data is overshared

Portfolios, statements, and KYC files are shared with the wrong recipient or left open to “anyone with the link.”

What Nightfall does

Discovers over-permissioned data and revokes inappropriate sharing at scale — including years of historical exposure.

Outcome

Prove least-privilege access to data, not just to systems.

Compliance

Built for the frameworks you answer to

PCI DSS 4.0

Detect and control cardholder data outside the CDE; evidence for Req. 3, 7, and 10.

GLBA Safeguards Rule

Monitor and protect customer financial information across all channels.

NYDFS 23 NYCRR 500

Data classification, access controls, and incident records.

SOX

Protect financial reporting data and prove access controls.

DORA

ICT risk controls and evidence for EU financial entities.

FINRA / SEC

Support supervision and recordkeeping obligations for communications.

GDPR / CCPA

Find and protect personal data wherever it lives.

AI Agents

Control what AI agents can access and expose

Agents connected through MCP read your CRM, mailbox, and docs and take actions on their own. Nightfall sits in the path: it knows what data an agent touched, what it tried to send, and stops the ones that cross a policy — in real time, with a full audit trail.

NYX
The autonomous DLP analyst

An analyst for the team that doesn’t have one

Nyx triages detections, investigates context, resolves the routine ones, and escalates what matters. Teams see roughly 80% of events resolved without a human in the loop.

See Nyx in action
Enterprise Ready

Deploys in days. Fits your stack.

SSO / SCIM provisioning
Role-based access and audit logs
SIEM and SOAR integrations — Splunk, Microsoft Sentinel, and more
API-first deployment for SaaS; lightweight sensor for endpoints
Dedicated onboarding and a named customer engineer

Talk to a Nightfall expert in financial services

Tell us a little about your environment and we’ll match you with someone who has deployed Nightfall at firms like yours. Most teams see their first real detection the same day.

  • A 30-minute call
  • Tailored to your stack
  • No slideware

Frequently Asked Questions

Does Nightfall help with PCI DSS 4.0?

Nightfall detects cardholder data outside the cardholder data environment across SaaS, email, AI apps, and endpoints, blocks or redacts it in real time, and produces the audit evidence PCI requirements 3, 7, and 10 call for.

Can Nightfall stop employees from pasting customer data into ChatGPT or Copilot?

Yes. Browser and endpoint sensors inspect prompts before submission and redact or block regulated data inline, while allowing approved AI use to continue.

How does Nightfall secure AI agents and MCP servers?

Nightfall governs what agents can access and expose, inspects agent actions against policy in real time, and records a full audit trail of data an agent touched.

Can Nightfall replace Symantec, Forcepoint, or Microsoft Purview DLP?

Yes. Nightfall covers SaaS, AI, email, and endpoints with AI-native detection and typically runs in parallel during migration so the legacy tool can be retired at renewal.

How long does deployment take?

SaaS integrations connect via API in minutes with no agents; browser and endpoint sensors deploy through your existing MDM. Most teams are fully live within days.