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SecureframeSecureframe is recommended for startups, small to medium-sized businesses, and enterprises seeking an efficient way to manage compliance obligations, particularly those in the technology, finance, and healthcare sectors that need to comply with strict security regulations.
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Based on our record, Prodigy should be more popular than Secureframe. It has been mentiond 25 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Secureframe | Remote (Canada) | https://secureframe.com | 150-200k CAD Secureframe helps company get compliant and build trust with their customers. We do this by integrating in a companies core SaaS tools, ingesting data, and then displaying all misconfigurations that need to be remediated for a given security framework. Stack is Rails/React/Typescript/Postgres/Elasticsearch We've got three open engineering roles... - Source: Hacker News / over 1 year ago
My org is in a position where we'll need to get SOC II or ISO 27001 certified in the next year. I've been doing some research on the easiest way to go about this, and discovered secureframe (https://secureframe.com/). It looks like it is a platform that helps you automate/track some of the compliance tasks, but doesn't actually do the audit (they have partners that work through the platform). I'm wondering if... Source: over 3 years ago
Hi, founder of Secureframe (https://secureframe.com) here. Secureframe helps streamline compliance across SOC 2, ISO 27001, HIPAA, PCI DSS, and more. There are so many accurate responses in this thread. Like many have mentioned, SOC 2 is indeed not a prescriptive framework. Much of the confusion behind SOC 2 stems from that fact. It allows you to customize your InfoSec program to your company's needs. As we know,... - Source: Hacker News / over 4 years ago
This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / over 2 years ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / almost 3 years ago
Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / almost 3 years ago
I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: about 3 years ago
I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 3 years ago
Vanta - Automate compliance, simplify security.
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