Ship AI. Keep your data inside the lines.
Nightfall stops model weights, training data, customer prompts, and API keys from leaving through your own agents, third-party copilots, SaaS, email, and endpoints — and gives you the evidence enterprise security reviews and SOC 2 auditors ask for.
You ship AI faster than anyone. Your data controls haven’t kept up.
Control what AI agents access, execute, and expose. Secure how employees use AI applications — without slowing the business down.
Your team lives in other people’s
models.
Engineers paste eval data, customer prompts, and source into ChatGPT, Claude, Cursor, and Gemini all day. Legacy DLP inspects files and email — not prompts.
Your own agents act on your data.
Internal agents and MCP servers read repos, tickets, and customer data and take actions on their own. Nobody approved what they can access or send — and your customers are asking.
Sharing is the new exfiltration.
One Drive link, one Slack channel, one Hugging Face push — weights and training data leave without a file ever being "downloaded."
Where AI-native companies
start with Nightfall
Secure AI and agents
Govern what employees paste into third-party models and what your own agents can access and expose — inline, before data leaves.
Pass enterprise security reviews
Answer "how do you protect our data in your AI systems?" with real-time controls and evidence, not a policy PDF. Deploy in days, no appliances.
Stop exfiltration and insider risk
Catch model weights, training data, and API keys moving to personal accounts, USB, or unsanctioned apps — with full lineage back to the source.
Four risks every AI-native security
lead is being asked about
Model weights and training data walk out the door
Checkpoints, fine-tuning datasets, and eval sets move through cloud storage, Slack, and personal drives — by a departing researcher or an honest mistake. They are the company.
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What Nightfall does
Custom detectors for your model artifacts and datasets, real-time blocking across every channel, and full lineage of who moved what, where, and when.
Outcome
Protect the IP investors priced without slowing research — and have forensics ready if you need them.
Customer data flows into third-party models
Engineers debug with real customer prompts and outputs in competitors’ models; internal agents connected through MCP read and act on customer data with no guardrails.
What Nightfall does
Browser and endpoint sensors inspect prompts before submission; agent-level controls govern what your own agents can access and expose.
Outcome
Keep the data-handling promises in your DPA and model card — and prove it to enterprise buyers.
API keys and secrets sit exposed in SaaS
Production inference keys, cloud credentials, and customer tokens end up in Slack threads, Jira tickets, and Notion pages — the fastest path to a compute bill or a breach.
What Nightfall does
AI-native detection finds secrets, credentials, and PII across SaaS and AI apps with low false positives on code, and remediates or rotates automatically.
Outcome
Close the exposure before it becomes an incident or a SOC 2 exception.
Research and customer data is overshared
Datasets, design docs, and customer evals are shared with the wrong recipient or left open to “anyone with the link” as the team grows fast.
What Nightfall does
Discovers over-permissioned data and revokes inappropriate sharing at scale — including everything shared before you had a security team.
Outcome
Prove least-privilege access to data, not just to systems — a standard enterprise-review question.
Built for the frameworks your buyers ask about
SOC 2 Type II
Continuous evidence for confidentiality and data-handling controls across SaaS and AI.
ISO 27001 / 42001
Information security and AI management system controls for data used in and by models.
EU AI Act
Data governance and record-keeping support for high-risk and GPAI obligations.
NIST AI RMF
Map data controls to the Govern, Map, Measure, and Manage functions.
GDPR / CCPA
Find and protect personal data in prompts, logs, and training sets wherever it lives.
HIPAA & PCI (customer data)
Honor the regulated data your enterprise customers send through your product.
Customer DPAs
Evidence that customer data stays out of third-party models and unapproved tools.
Learn more
Control what your agents can access and expose
Your internal agents and MCP servers read repos, tickets, customer data, and mail 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.
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.
Deploys in days. Fits a stack that changes weekly.
Talk to a Nightfall expert who works with AI-native companies
Tell us a little about your environment and we’ll match you with someone who has deployed Nightfall at AI labs and AI-native startups. Most teams see their first real detection the same day.
- A 30-minute call
- Tailored to your stack
- No slideware
