Next up in Privacy Technology at #enigma2021, Kelly Huang from @ethyca speaking about "GONE, BUT NOT "FORGOTTEN"—TECHNICAL & PRACTICAL CHALLENGES IN OPERATIONALIZING MODERN PRIVACY

Just imagine there's a global pandemic forcing everyone to stay home and buy their stuff over the internet. And you've been working on your sanitization-on-demand startup. You've got more users than you can count! ... literally, because your data's all over.
Now you're a multi-national international country with privacy issues because your information is all over the place.

Now a user writes to request you delete their data. Where is it? How do you do that? Who's responsible for privacy in your business.
How do you operationalize privacy rights?

Primary stakeholders:
* Legal
* Business
* Engineering
We spend a lot of time on Twitter analyzing the legal rulings, but it's harder where the "rubber meets the code" 🥁
Three rights:
* access
* rectification
* deletion

Legal's trying to uphold them, but it's a technical question!

Legal wants to decrease risk but don't know software
The business wants to stay in business and make money. They want to be able to use data for things like placing ads and analysis.
It takes a lot of time to handle these requests, too!

They need a streamlined technical solution.
Program management wants to streamline and make things efficient and predictable... but they don't understand the technical limitation
As a software engineer, you've seen technical debt. So much technical debt. All the weight of the decisions that were made in the past, especially if you scaled without a data plan.

Average SMB has data in 10 different systems.
How do we delete?
Some poor software engineer is trying to track down what data is where?
What even *is* PII? There's no real standard.
What should be returned? What should be deleted.

Make a definition and stick to it.
Some of your databases might use email addresses as a primary key, some user IDs, etc.
1. Define PII
2. Find all the PII
3. Use pseudonymization to replace PII with some kind of random value which can't be tied back to the user

[reminder I am livetweeting this is not me speaking]
How do you do this at scale?
Maybe a centralized team who can handle this?
If you're a small company, plan ahead!
Be careful when you're doing sanitization -- some databases really don't like batch processes and you can make things fall over.
Speed
* you have a timeline -- often 30 or 45 days
* but that's not enough time if you haven't planned for streamlined speed

Ideally you won't need it, but have a backup plan, in case something goes wrong with a slow data system
Plan for a solution that grows with your business, not just a hacked-together series of SQL queries, but instead a centralized portal with extensibility as the business changes and technical systems grow.

... and as new privacy laws come into place
Privacy is way, way more than compliance. But compliance needs to happen.

Let's all do our part

[ end of talk ]

More from Lea Kissner

More from Tech

Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
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"I lied about my basic beliefs in order to keep a prestigious job. Now that it will be zero-cost to me, I have a few things to say."


We know that elite institutions like the one Flier was in (partial) charge of rely on irrelevant status markers like private school education, whiteness, legacy, and ability to charm an old white guy at an interview.

Harvard's discriminatory policies are becoming increasingly well known, across the political spectrum (see, e.g., the recent lawsuit on discrimination against East Asian applications.)

It's refreshing to hear a senior administrator admits to personally opposing policies that attempt to remedy these basic flaws. These are flaws that harm his institution's ability to do cutting-edge research and to serve the public.

Harvard is being eclipsed by institutions that have different ideas about how to run a 21st Century institution. Stanford, for one; the UC system; the "public Ivys".
TradingView isn't just charts

It's much more powerful than you think

9 things TradingView can do, you'll wish you knew yesterday: 🧵

Collaborated with @niki_poojary

1/ Free Multi Timeframe Analysis

Step 1. Download Vivaldi Browser

Step 2. Login to trading view

Step 3. Open bank nifty chart in 4 separate windows

Step 4. Click on the first tab and shift + click by mouse on the last tab.

Step 5. Select "Tile all 4 tabs"


What happens is you get 4 charts joint on one screen.

Refer to the attached picture.

The best part about this is this is absolutely free to do.

Also, do note:

I do not have the paid version of trading view.


2/ Free Multiple Watchlists

Go through this informative thread where @sarosijghosh teaches you how to create multiple free watchlists in the free


3/ Free Segregation into different headers/sectors

You can create multiple sections sector-wise for free.

1. Long tap on any index/stock and click on "Add section above."
2. Secgregate the stocks/indices based on where they belong.

Kinda like how I did in the picture below.