No, AI isn't stealing your tech job - it's just transforming it
发布日期:2025-09-30
Few roles are at risk of total replacement by AI, but change is still happening fast, and hybrid skill sets are the new norm.
Nightfall AI discovers and protects sensitive data using machine learning in SaaS and cloud apps.
发布日期:2025-09-30
Few roles are at risk of total replacement by AI, but change is still happening fast, and hybrid skill sets are the new norm.
发布日期:2025-09-29
Available for Microsoft 365 Copilot users, the new agents will help you create, edit, and analyze your documents, spreadsheets, and presentations.
发布日期:2025-09-29
Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end. The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, […] The post Huawei details open-source AI development roadmap at Huawei Connect 2025 appeared first on AI News.
发布日期:2025-09-26
Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI […] The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.
发布日期:2025-09-25
Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language […] The post Samsung benchmarks real productivity of enterprise AI models appeared first on AI News.
发布日期:2025-09-25
Imagine connecting thousands of powerful AI chips scattered in dozens of server cabinets and making them work together as if they were a single, massive computer. That is exactly what Huawei demonstrated at HUAWEI CONNECT 2025, where the company unveiled a breakthrough in AI infrastructure architecture that could reshape how the world builds and scales […] The post Inside Huawei’s plan to make thousands of AI chips think like one computer appeared first on AI News.
发布日期:2025-09-24
The retail industry is among the leaders in generative AI adoption, but a new report highlights the security costs that accompany it. According to cybersecurity firm Netskope, the retail sector has all but universally adopted the technology, with 95% of organisations now using generative AI applications. That’s a huge jump from 73% just a year […] The post Generative AI in retail: Adoption comes at high security cost appeared first on AI News.
发布日期:2025-09-24
OpenAI and Nvidia have signed a letter of intent for a $100B partnership that could reshape how AI systems are trained and deployed. The plan calls for at least 10 gigawatts of Nvidia hardware to support OpenAI’s next-generation AI infrastructure, which will train and run future models aimed at superintelligence. To support the rollout, Nvidia […] The post OpenAI and Nvidia plan $100B chip deal for AI future appeared first on AI News.
发布日期:2025-09-24
Author: Rodrigo Coutinho, Co-Founder and AI Product Manager at OutSystems AI has moved beyond pilot projects and future promises. Today, it’s embedded in industries, with more than three-quarters of organisations (78%) now using AI in at least one business function. The next leap, however, is agentic AI: systems that don’t just provide insights or automate […] The post Governing the age of agentic AI: Balancing autonomy and accountability appeared first on AI News.
发布日期:2025-09-24
How AI models could manipulate, misuse, and even build systems humans can't understand.
What is Nightfall AI?
Nightfall AI is a data leak prevention (DLP) platform that helps businesses discover, classify, and protect sensitive data across SaaS and cloud apps using machine learning. It offers accurate detection of personally identifiable information (PII), protected health information (PHI), payment card industry (PCI) data, secrets, and credentials in leading SaaS apps and generative AI tools like ChatGPT, Slack, Jira, and GitHub.
How to use Nightfall AI?
To use Nightfall AI, you can integrate it easily into your existing systems. The platform offers pre-built integrations for popular SaaS apps, requiring no agents to be installed. You can set up automation for security alerts and utilize the centralized management dashboard. Nightfall also provides APIs to classify and protect sensitive data in custom apps. With its high accuracy AI-powered detection, you can reduce false positives and save time. Nightfall can be used by businesses in various industries, including digital health, fintech, and SaaS.
Nightfall AI's Core Features
Discover, classify, and protect sensitive data in SaaS and cloud apps
Integrate easily with pre-built integrations and APIs
Automate compliance with industry-leading standards
High accuracy AI-powered detection to reduce false positives
Prevent data leaks, exposure of credentials, and over-sharing of sensitive information
Train employees on data security best practices
Meet enterprise customer DLP requirements
Ensure out-of-the-box compliance with HIPAA, PCI, and more
Improve data security hygiene and stay compliant
Increase visibility and operational efficiency
Nightfall AI's Use Cases
#1
Securely use generative AI tools
#2
Protect secrets and keys
#3
Automate HIPAA compliance
#4
Automate PCI and PII compliance
#5
Prepare for mergers and acquisitions
FAQ from Nightfall AI
What is Nightfall AI?
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Nightfall AI Support Email & Customer service contact & Refund contact etc.
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the contact us page(https://www.nightfall.ai/contact-us)
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