William Almonte’s Post

I cannot stress this enough, #web3 passwordless login systems fix this problem forever. Every single person should contact any web service they use and demand passwordless login systems so they can not keep stealing passwords and exposing them online. We are 15 years into #blockchains, there is no excuse for your favorite service not to provide this basic security function.

Passwords are a key element of cyber security, but only if you follow leading practices to ensure you aren't breached: - Use a complex password, a mix of upper and lower case letter & numbers, and symbols. - The longer the password the better it is. - Do NOT use the same password across multiple websites. You can use a password manager to help remember your passwords. - Change passwords regularly, even if you aren't forced to. - Whenever possible implement/use multi-factor authentication such as a text to your phone, or your finger print, or facial recognition. These practices will help ensure you are not on the list! You can check if your password is included in the hacker's list in the below article. #cybersecurity #hackers #passwords

A really interesting video from one of my all-time favorite financial thinkers, Ethan Heisler, whom I have followed all the way back from old Solly. Two things jump out most readily. First, the panel argues that initial panicked crisis on Silicone Valley/ Signature/ First Republic bank failures has largely blown over - but without generating real change, or a meaningful systemic reform. It is always saddening to see a crisis pass without triggering systemic reform. What a missed opportunity. Yes, other small to medium sized banks didn’t shoot themselves in both feet quite as outrageously as the failed banks, but a lot of this experience should be applied to all banks anyway. Any lessons we fail to learn are bound to be repeated. We’ll learn them eventually, but at much higher cost. The second, more long term issue is exactly how broken the reporting, disclosure and decision making system is in banking sector. The guys on this panel are all leading experts in their fields, and they readily admit that present set of very legalistic, regulatory driven disclosures doesn’t tell them jack about financial situation and beyond-the-horizon risks of bank as a business. Ethan makes a great point that top management of failed banks was so surprised until the very last minute this March that they clearly had no clue about the risks - no level of disclosure would help if they didn’t have a clue - but banks still need to disclose key issues better. Disclosure and reporting format in banks drives decision-making lot more than it should: in perfect world the well-informed top management should make their decisions based on business insights and then report them as they are, while in reality far too often the decisions are subject to “massaging” the regulatory-required statements. In fact it is the over-regulation that drives key business decision lot more than it should, and not the real risks at hand. And then we wonder why management failed to look ahead. This second issue naturally extends to what is the NEXT big risk? The problems that brought down the trio of banks this spring (excessive concentration, unstable funding that spread contagion, and asset-liability mismatch generating large losses as rates ripped, which banks then couldn’t fund) may have become less acute - but damage across range of small and medium banks has become a chronic problem. The acute disease outbreak may have (mostly) passed, but the patient is not healthy - instead they are now severely and chronically sick. They burnt through an awful lot of equity (both actual and tangible, very relevant in banking sector), and their flexibility has been severely curtailed. The risk now is that any future crisis, such as credit problem in commercial and other realestate, and problems in Private Equity/levered RE/levered finance which I believe we will all have to face, will find these chronically weakened banks much less able to weather the next storm.

Symmetric and Asymmetric Encryption Symmetric Encryption: This is also known as single key or shared key. One key is used both to encrypt and decrypt the data. Asymmetric Encryption: Using two keys. In the key pair system, everyone has two different unique keys one is a public key and the other one is a private key. To encrypt, use the other's public key, and the other person can decrypt by this/her private key only.

#Cybersecurity spending in 2023 is predicted to be grow about 12% (vs. 2022) to ~$200 billion ($188 to $219 billion based on which analysts you agree with). Yet 2x more educational institutions, 3x more financial services organizations, 50% more retail, almost twice as many technology companies were compromised in Q3 (vs. 2022). What needs to change?

“Letters to airline executives will include questions about how the airlines collect and handle passengers’ personal information, monetize customer data through targeted advertising and how employees and contractors are trained to handle passenger’s information.”

Only 8% of SMBs who paid ransom demands recovered all of their data. Pretty scary, right? With a backup and recovery solution, you won’t have to pay the ransom and can recover your critical data when it matters. Learn more with this free, informative datasheet. https://lnkd.in/e5W-zcXK

Only 8% of SMBs who paid ransom demands recovered all of their data. Pretty scary, right? With a backup and recovery solution, you won’t have to pay the ransom and can recover your critical data when it matters. Learn more with this free, informative datasheet. https://lnkd.in/eUGhRpuf

In 1955, the first AI program, “Logic Theorist,” was created by Herbert Simon, Allen Newell, and John Shaw. This was the first program of its kind developed to conduct artificial reasoning. Later, programming languages (such as LISP) were developed, advancements in learning algorithms were further enhanced, and technology such as artificial neural networks were created, allowing machines to mimic the process of thinking like a human brain does. These developments are the backbone of AI today.