DLP's first GenAI detectors

Nightfall’s detection engine leads the way in discovering PII, PHI, secrets, and images

Why GenAI?

Nightfall for SaaS

Cutting-edge precision

Nightfall’s detectors are built on 125 million parameters. As a result, Nightfall makes more accurate predictions and outperforms regex and low-fidelity machine learning approaches by up to 85%

Nighfall for data at rest

Leading signal-to-noise ratio

Natural Language Processing (NLP) helps detectors to understand the context surrounding possible violations—which means fewer false positive alerts.

Nightfall for ChatGPT

Seamless workflow automation

Nightfall's unparalleled precision empowers SecOps teams to automate remediation. This has a twofold effect: Reducing total cost of ownership while also improving overall security posture.

Discover sensitive data across every facet of your Teams workspace

Classify images at a glance

  • Identify driver’s licenses, passports, credit cards, and social security cards without needing to scrape images for text.

  • Outperform Optical Character Recognition (OCR) with Nightfall’s advanced transformer model, which can recognize sensitive documents even when they’re…

  • Glossy
  • Cropped
  • Low contrast
  • Skewed
  • Blurry
  • Rotated

Protect PII & PCI

  • Discover social security numbers, driver’s license numbers, credit card numbers, and more with Nightfall’s Convolutional Neural Network (CNN).

  • Use LLM-generated embeddings to evaluate the context surrounding possible PII violations, resulting in fewer false positive alerts.

Get actionable insights in near-real time
Remediate sensitive data without interrupting employee workflows

Pinpoint PHI

  • Scan for ICD10 diagnosis codes, FDA drug names, healthcare NPIs, and other protected health information using a powerful transformer model.

  • Map health information to specific individuals to ensure that only HIPAA-defined PHI is flagged.

Home in on leaked secrets

  • Detect dozens of types of API keys, cryptographic keys, database connection strings, passwords, and more.

  • Pick up edge cases with a powerful LLM that's been trained on 125 million parameters.

Get actionable insights in near-real time

Why Nightfall?

We studied over 5,000 data samples for each of our top PII, PHI, secret, and image detectors. Then we compared them to the competition.

2x

Greater precision

4x

Reduction in noise

4x

Reduction in costs, plus additional time savings from automation

How does Nightfall compare to the competition?

Find a cloud DLP solution that meets your unique detection needs.

Nightfall AI
AWS Comprehend
Google DLP
Microsoft Purview
Images
How an organization manages security; Mature organizations take a proactive approach.
Nightfall AI
Protect data at the source
Uses an advanced image classification model.  

No setup required.

No additional charges.
AWS Comprehend
Protects data only in transit
OCR and “DIY” image classification.

Setup required, in addition to infrastructure and maintenance.

Additional charges for each image scanned.
Google DLP
Protects data only on the device
OCR only.

Setup required. 

Additional charges past a certain threshold.
Microsoft Purview
Protects data only on the device
OCR only.

Setup required. 

Additional charges for each image scanned.
PII
Clear, holistic view of sensitive data in your environment.
Nightfall AI
Real-time and historical data insight
Uses a Convolutional Neural Network (CNN) to detect social security numbers, driver’s license numbers, credit card numbers, and more.
AWS Comprehend
Limited visibility into data in transit on the network
Can't reliably understand the context surrounding PII, leading to many false positive alerts.
Google DLP
Monitors the endpoint
Can't reliably understand the context surrounding PII, leading to many false positive alerts.
Microsoft Purview
Monitors the endpoint
Relies on regexes and keywords to detect PII, leading to many false positive alerts.
PHI
Ability to modify output independent of changes in available resources.
Nightfall AI
Protection does not depend on resources
Uses GenAI to find healthcare-related documents and surface HIPAA-defined PHI.
AWS Comprehend
Bottleneck on the network
Does not offer a specialized PHI detector.

Offers a limited number of health-related detectors that are not able to identify HIPAA-defined PHI or filter non-patient-related health documents.
Google DLP
Limited interoperability
Does not offer a specialized PHI detector.

Offers a limited number of health-related detectors that are not able to identify HIPAA-defined PHI or filter non-patient-related health documents.
Microsoft Purview
Limited interoperability
Uses a limited combination of low-fidelity entity detectors and file classifiers to detect HIPAA violations. 
Secrets
Refers to file types, devices, users, and applications.
Cloud DLP
Comprehensive coverage
Scans for multiple types of API keys, tokens, passwords,  cryptographic keys, and database connection strings. 

Checks the status of found keys and tokens.
Network DLP
Limited coverage
Only scans for AWS API keys and cryptographic keys, and doesn’t cover tokens, passwords,  or database connection strings. 

Does not check key status.
Google DLP
Limited coverage
Only scans for Google API keys, and doesn’t cover database connection strings.

Does not check key status.
Microsoft Purview
Limited coverage
Scans for API keys, passwords, and cryptographic keys, as well as one internal database connection strings.

Does not check key status.

Not all AI is created equal

Your go-to cloud DLP solution should leverage AI to cut through the noise, reduce security team workloads, and improve your security posture.