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Threat Data Feeds and Threat Intelligence Are Not the Same Thing

In cybersecurity, “threat data feeds” and “threat intelligence” are often used interchangeably. They are, however, quite different. To make matters worse, the term “threat intelligence” has been co-opted and watered down by vendors, making it even more difficult to define the difference between threat data feeds and threat intelligence.

An easy, and accessible, way to tell the difference is to think about weather forecasts. National TV news shows present a forecast for the entire country. You might get some useful information from this, but usually you just get an idea of what the weather is like nationwide. Local weather, however, drills down into the expected conditions for your specific area — not only temperature and weather, but also wind speed, barometric pressure, times for weather changes, and so on. You can use this information to plan out your actions for the next few days.

Using the weather forecast analogy, threat data feeds provide a high-level view of the security landscape. For example, it is useful to know that there is a vulnerability in a specific type of software, but it can be relatively trivial if that software is not in use at your organization. Likewise, knowing which threat groups are active is useful information, but how do you know if they are targeting your sector or organization and what processes and tools they are using?

A new kind of chip for quantum technology

Today, we are living in the midst of a race to develop a quantum computer, one that could be used for practical applications. This device, built on the principles of quantum mechanics, holds the potential to perform computing tasks far beyond the capabilities of today’s fastest supercomputers. Quantum computers and other quantum-enabled technologies could foster significant advances in areas such as cybersecurity and molecular simulation, impacting and even revolutionizing fields such as online security, drug discovery and material fabrication.

An offshoot of this technological race is building what is known in scientific and engineering circles as a “”—a special type of quantum computer, constructed to solve one equation model for a specific purpose beyond the computing power of a standard computer. For example, in , a quantum could theoretically be built to help scientists simulate a specific, complex molecular interaction for closer study, deepening and speeding up drug development.

But just like building a practical, usable quantum computer, constructing a useful quantum simulator has proven to be a daunting challenge. The idea was first proposed by mathematician Yuri Manin in 1980. Since then, researchers have attempted to employ trapped ions, cold atoms and to build a quantum simulator capable of real-world applications, but to date, these methods are all still a work in progress.

Dopamine Might Have An Unexpected Function That Could Reshape Our Understanding Of Brain Conditions

Dopamine seems to be having a moment in the zeitgeist. You may have read about it in the news, seen viral social media posts about “dopamine hacking,” or listened to podcasts about how to harness what this molecule is doing in your brain to improve your mood and productivity. However, recent neuroscience research suggests that popular strategies to control dopamine are based on an overly narrow view of how it functions.

Dopamine is one of the brain’s neurotransmitters — tiny molecules that act as messengers between neurons. It is known for its role in tracking your reaction to rewards such as food, sex, money, or answering a question correctly. There are many kinds of dopamine neurons located in the uppermost region of the brainstem that manufacture and release dopamine throughout the brain. Whether neuron type affects the function of the dopamine it produces has been an open question.

Recently published research reports a relationship between neuron type and dopamine function, and one type of dopamine neuron has an unexpected function that will likely reshape how scientists, clinicians, and the public understand this neurotransmitter.

Can a new Luddite rebellion rise against Big Tech? ‘We’re in a place where trouble could find us pretty quickly,’ author says

Not all wages are bad. If you’re a doctor or nurse you can earn decent. Even a PC tech can earn around $24 an hour or more and cyber security 100k and if you are an engineer you can earn a lot. If you work in a gas station however you won’t earn much. If you are in assembly not much either. It takes skills to earn money. Plus the politicians determine the wages too, it’s not all on big tech. Some tech companies pay more than others of course but knowing AI will increase your wages. They have courses on ChatGPT online now. Even if you run a farm you earn the most money. They’re afraid of progress or I dunno what. Yes we proceed with caution but it’s not like we stop. China won’t nor Russia nor the Middle East etc and even if we’re not in conflict we’ll be left behind.


New book re-examines textile workers’ uprising against the use of technology to erase jobs centuries ago in light of similar problems stemming from AI.

A Primer On Artificial Intelligence And Cybersecurity

The topic of artificial intelligence’s rising involvement in our digital world and its associated opportunities and challenges have been the main topics of discussion at many security conferences and events in recent times. There is little doubt that humankind is on the verge of an era of exponential technological advancement, and AI is leading the way in the emerging digital world.

For cybersecurity, this tech trend has implications. In simple terms, artificial intelligence acts as a powerful catalyst and enabler for cybersecurity in our connected ecosystem.

Unveiling DALL-E 3: AI’s Next-Level Image Generation | AI News

“Welcome to another exciting episode of AI News! Our top story today is the release of ChatGPT’s DALL-E 3, an AI system that is revolutionizing image generation. We’ll also be discussing Google’s BARD and its recent upgrade, as well as the impressive $40M funding received by Legit Security to protect AI applications from cyber threats. Stay tuned for these stories and more in this episode of AI News. Don’t forget to subscribe and hit the bell icon so you never miss an update on the latest developments in Artificial Intelligence!”

Job Seekers, Look Out for Job Scams

The economic downturn is already a devastating blow to job seekers everywhere. Now scammers are taking advantage of the situation by ramping up their methods of swindling people.

Job scamming is a threat to job seekers all over the world. For example, the Better Business Bureau (BBB) reported an increase in job scam complaints in the United States and Canada in the past several years. Singapore job seekers lost $660 million SGD ($495 million USD) in 2022 alone. And in the UK, 10,000 people were approached on LinkedIn and Facebook by “foreign spies and malicious actors” to steal information.

Phishing attacks and malware are the primary methods of scamming job seekers, according to a February Trellix report. Scammers create fake websites, often employing typosquatting. A fake site uses a real name like Indeed that’s slightly misspelled (such as “Indeeed”) or extends the URL in hopes the job seeker will not notice the base domain name. These sites appear legitimate but are used to steal passwords and financial information.

Dr. Peter Fleischut, M.D. — GSVP / Chief Information & Transformation Officer, NewYork-Presbyterian

Leveraging Technology For Innovative, Patient-Centered Clinical Care — Dr. Peter Fleischut, MD — Group Senior Vice President And Chief Information & Transformation Officer, NewYork-Presbyterian Hospital


Dr. Peter M. Fleischut, M.D., is Group Senior Vice President and Chief Information and Transformation Officer at NewYork-Presbyterian (https://www.nyp.org/)where he oversees the strategic vision and management of enterprise information technology, lab operations, pharmacy operations, innovation, data and analytics, artificial intelligence, telemedicine, and cybersecurity.

Dr. Fleischut has led the development of the Hospital’s award-winning digital health services and the implementation of clinical operations at NewYork-Presbyterian David H. Koch Center, a world-class ambulatory care center. In his previous role as Senior Vice President and Chief Transformation Officer, he focused on creating a single electronic medical record across NewYork-Presbyterian and its affiliated medical schools, Weill Cornell Medicine and Columbia University Vagelos College of Physicians and Surgeons.

Dr. Fleischut also led efforts to standardize care across NYP’s ten hospitals and hundreds of clinics and doctor practices, and oversaw all aspects of Graduate Medical Education (GME) for programs across the NYP enterprise.

Joining NewYork-Presbyterian/Weill Cornell in 2006, Dr. Fleischut previously served as Medical Director of Operating Rooms, Deputy Quality Patient Safety Officer, founding Director of the Center for Perioperative Outcomes, Vice Chairman, Chief Medical Information Officer, Chief Innovation Officer and Chief Medical Operating Officer.

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