Nightfall AI vs Vijil — Comparison

Nightfall AI

Nightfall is the agentic, all-in-one data loss prevention (DLP) & AI data security platform that prevents data leaks, gets visibility into data fl

© 2025 Nightfall AI. All rights reserved. © 2025 Nightfall AI. All rights reserved. Nightfall for SaaS integrates in minutes to protect sensitive data and ensure pain-free compliance with HIPAA, SOC 2, PCI-DSS, and other industry-leading standards. Ensure out-of-the-box compliance. Meet customer DLP requirements and unblock revenue streams. Discover and act on sensitive data that's both in use and at rest. Prevent downstream privilege escalation attacks by remediating exposed secrets and credentials. Integrate seamlessly with SaaS apps and GenAI tools. Use high-accuracy, AI-powered detection to scan hundreds of file types for sensitive data like PII, PCI, PHI, secrets, and credentials. Manage DLP policies from the Nightfall console or your SIEM of choice. Triage alerts with context-rich previews that include information like when and where violations take place, as well as snippets of unredacted findings. Send customized notifications to educate employees about company policies and security best practices—all in real time. Avoid workflow disruptions by encouraging employees to remediate their own violations, provide business justifications, and report false positives. Enhance employee productivity without blocking the use of cloud apps or GenAI tools. See how Nightfall unifies data leak prevention across your SaaS apps in a single pane of glass in this 3-minute demo video. OAuth based, API only setup in minutes. Least privilege access with minimal permissions. Auto-discovery of the entire SaaS app hierarchy: Contextual policies with real-time scanning. Machine learning trained pre-defined to detect secrets and credentials, PCI, PII, PHI or other sensitive data. Real-time visibility across alerting platforms like Slack, Email, Webhooks in any third party SIEM or reporting tool. Monitoring and reporting capabilities in the console for rapid investigations and triage. Support for 100+ file types including OCR images, xls/xlsx, doc/docx, csv, plain text, ppt/pptx, zip/archive, PDF, HTML, Parquet and more. Automated and manual remediation actions including: Option to involve employees directly in the remediation process. Flexibility to manage alerts in Slack, email, or your SIEM of choice. Duis vel morbi orci volutpat tellus. Gravida dolor pretium ut rhoncus tellus diam suspendisse ut. Healthcare organizations need to protect PHI and comply with HIPAA. Nightfall automatically classifies all cloud data and finds at-risk patient data from a single platform. Use prebuilt, high accuracy detectors or create your own Build detection rules for your use cases Scan text and files, including images Remediate sensitive data with redaction techniqu Extend Nightfall data leak prevention across our secured applications, plus the ability to cover any application with our Developer Platform. Install in minutes to start protecting your sensitive data. © 2025 Nightfall AI. All rights reserved. © 2025 Nightfall AI. All rights reser

Vijil

Cut time-to-trust in AI agents from 6 months to 6 weeks. Vijil makes agents reliable, secure & safe for enterprises with testing & protection.

To help enterprises use AI agents that are verifiably reliable, secure, and safe by providing trust as infrastructure for agent development, operations, and continuous improvement. Previously GM Director of Engineering at Amazon SageMaker. 30y across AI/ML, Data, Cloud, OS, Security; 11 AWS AI services, 30 products, 10 patents, 5 papers. AWS AI senior leader; 20y in ML systems and graphics; led PyTorch, TensorFlow, and AWS SageMaker Training teams. Previously COO at Astronomer; helped scale Lacework from $1M to $100M ARR; 20y GTM strategy partnerships for cybersecurity; consulting and investment banking; Harvard. Assistant Professor of Statistical Sciences at the University of Toronto, a Faculty Member at the Vector Institute for Artificial Intelligence, and a Faculty Affiliate at the Schwartz Reisman Institute for Technology and Society. Responsible AI leader; 10y+ in data science; co-author Trustworthy ML (O'Reilly book); 40 papers, 20 patents; key contributor to OSS (Garak, AVID, AI Village). Previously at Amazon Music,Oracle, and Viiv Labs; co-founder CTO of Adya (acquired by Qualys). Passionate about designing and building large-scale ML systems with a focus on NLP/LLMs. Enjoys reading, hiking, cooking, doing nothing. Previously at Riva Health, Viiv Labs, Solvvy, and Polycom. Over 20 years of software engineering experience. Most recently, led threat modeling and cybersecurity analysis of medical device to prepare for FDA approval. University of California, Berkeley. Previously at CapitalOne, evaluating LLMs for company-wide use. Working in the field of responsible AI since 2019, including building explainability solutions, establishing responsible AI processes, and publishing interdisciplinary research at venues like FAccT. Tries to spend at least one week a year walking in the mountains. UX/UI design and front-end developer, previously at bitlogic.io. Based in Cordoba, Argentina. Instituto Superior Politécnico de Córdoba. Previously at Amazon, Oracle, and Accenture. Working on AI/ML security engineering since 2019. Most recently, led red-teaming for Amazon AI models. Indiana University. Cloud infrastructure engineer. Most recently at MIST (acquired by Juniper), built the conversational interface to Marvis Virtual Network Assistant, designed to diagnose and resolve networking issues. University of Illinois at Urbana-Champaign. Previously at Microsoft. Research interest in trustworthy AI, ML for human safety, and autonomous vehicles. University of Michigan. Senior Applied Scientist. Previously at Lorica Cybersecurity, designed and deployed privacy-preserving machine learning products; expertise in the use of fully-homomorphic encryption and trusted execution environment for LLMs.  University of Toronto. At intersection of algorithmic fairness auditing and collective action. PhD UIUC, MS Harvard, BS Caltech. Previously at Goldman Sachs, with internships at Instacart and Snap. Previously postdoc in game theory and r

Nightfall AI

Vijil

Nightfall AI

Vijil

Nightfall AI

Vijil