Navigating and managing your organization’s AI risks – CyberTalk

Navigating and managing your organization’s AI risks – CyberTalk

By Hendrik De Bruin, Security Engineer, Check Point Software Technologies.

As you know, 2023 was the year where AI took off. Organizations quickly adopted AI-based products to stay competitive, increase productivity and improve profitability.

However, much of this rapid adoption, which often occurred unofficially, has left organizations to contend with serious cyber security vulnerabilities – and CISOs are exposed.

Secret and confidential information leakage

There have been instances in the past where engineers and developers have uploaded proprietary source code to ChatGPT for purposes of evaluating and improving on the code.

This little oversight could prove extremely costly if a competitor, or anyone with malicious intent, were to illicitly obtain access to ChatGPT’s underlying technology.

How can CISOs protect organizations from AI-related risks?

The CISO role is ever evolving. It appears that artificial intelligence will become another area of responsibility for CISOs globally.

Whether you are the CISO for a Fortune 500 company or a small business, chances are that the organization you represent has already integrated AI into a number of its day-to-day activities.

If not adopted in a controlled and responsible manner, AI does pose a significant potential risk to organizations. The following recommendations may enable CISOs to better manage AI-based risks:

Evaluation of the current situation. Before any risk can be mitigated, it is critical to first have a thorough understanding of the risk. You need to understand the probability of a risk’s likely manifestation. This will ensure that appropriate controls can be put in-place.

In order to better understand the risk posed by artificial intelligence to your information security, the following questions should be answered:

  • What AI systems are currently in use? There may be some official use cases and some unofficial (shadow IT) cases where the organisation is making use of artificial intelligence.
  • How are these AI systems being used? For what purposes are these systems being used and does the mere usage of these systems pose a risk to the organisation or its reputation?
  • What information is used in conjunction with AI systems? Considering the risks involved in managing and processing personal identifiable information (PII), it is critical to know how that information is being used and the implications thereof. The same pertains to confidential and classified information.

Asking the above questions should allow you to identify the most obvious risks posed to the organisation in terms of regulatory and compliance risks, data privacy risks, data leakage risks, and adversarial machine learning risks.

Define and implement administrative controls

Once a thorough understanding of the organisations’ current artificial intelligence landscape has been obtained and risks identified, the next step is to produce policies and procedures that adequately protect the organisation against risks identified during the evaluation stage.

These policies should deal with all aspects of AI usage within the organization. They should also go hand-in-hand with awareness training, ensuring that employees internalize the policies.

Once implemented, adherence to these policies should also be monitored.

Define and implement technical controls

After policies and procedures have been developed and applied, technical controls must be deployed as a means of policy and procedure enforcement.

Arguably, “Defense-in-Depth,” as enforced by solutions leveraging artificial intelligence and machine learning, is your best bet against unknown and increasingly sophisticated threats – such as those facing organizations today.

The human element

In the age of artificial intelligence, the human element may be the most critical “ingredient” in mitigating risks and keeping the organisation safe.

Critical thinking is a human superpower that should be employed to differentiate fact from fiction, so to speak.

The keep-the-human-in-the-loop or Human In The Loop (HITL) approach should be considered. This approach allows AI to make tactical decisions, perhaps even some strategic ones, while humans maintain managerial decision making powers over processes and activities related to these systems. This ensures that humans are always in the loop and available to apply critical thinking, good judgement and oversight.

What does the future hold for AI and cyber security?

During 2024 and over the next few years, I’m certain that adoption of AI will continue to grow on the part of threat actors and defenders alike.

These are “…engines that learn and improve themselves against the kind of attacks we don’t yet know will happen,” says Check Point’s CTO, Dr. Dorit Dor.

It is clear that artificial intelligence is here to stay. Adoption is growing at a phenomenal rate on the part of attackers and defenders alike, however it is end-users and their adoption of AI and generative AI that may pose the biggest risk to organisations and their secret/confidential information.

10 Best Work Management Software & Tools (March 2024)

In today’s fast-paced business environment, efficiency and organization are more crucial than ever. With teams often scattered across various locations and projects growing increasingly complex, the need for effective work management tools has never been greater. These tools not only streamline project management but also enhance…

Method rapidly verifies that a robot will avoid collisions

Method rapidly verifies that a robot will avoid collisions

Before a robot can grab dishes off a shelf to set the table, it must ensure its gripper and arm won’t crash into anything and potentially shatter the fine china. As part of its motion planning process, a robot typically runs “safety check” algorithms that verify its trajectory is collision-free.

However, sometimes these algorithms generate false positives, claiming a trajectory is safe when the robot would actually collide with something. Other methods that can avoid false positives are typically too slow for robots in the real world.

Now, MIT researchers have developed a safety check technique which can prove with 100 percent accuracy that a robot’s trajectory will remain collision-free (assuming the model of the robot and environment is itself accurate). Their method, which is so precise it can discriminate between trajectories that differ by only millimeters, provides proof in only a few seconds.

But a user doesn’t need to take the researchers’ word for it — the mathematical proof generated by this technique can be checked quickly with relatively simple math.

The researchers accomplished this using a special algorithmic technique, called sum-of-squares programming, and adapted it to effectively solve the safety check problem. Using sum-of-squares programming enables their method to generalize to a wide range of complex motions.

This technique could be especially useful for robots that must move rapidly avoid collisions in spaces crowded with objects, such as food preparation robots in a commercial kitchen. It is also well-suited for situations where robot collisions could cause injuries, like home health robots that care for frail patients.

“With this work, we have shown that you can solve some challenging problems with conceptually simple tools. Sum-of-squares programming is a powerful algorithmic idea, and while it doesn’t solve every problem, if you are careful in how you apply it, you can solve some pretty nontrivial problems,” says Alexandre Amice, an electrical engineering and computer science (EECS) graduate student and lead author of a paper on this technique.

Amice is joined on the paper fellow EECS graduate student Peter Werner and senior author Russ Tedrake, the Toyota Professor of EECS, Aeronautics and Astronautics, and Mechanical Engineering, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). The work will be presented at the International Conference on Robots and Automation.

Certifying safety

Many existing methods that check whether a robot’s planned motion is collision-free do so by simulating the trajectory and checking every few seconds to see whether the robot hits anything. But these static safety checks can’t tell if the robot will collide with something in the intermediate seconds.

This might not be a problem for a robot wandering around an open space with few obstacles, but for robots performing intricate tasks in small spaces, a few seconds of motion can make an enormous difference.

Conceptually, one way to prove that a robot is not headed for a collision would be to hold up a piece of paper that separates the robot from any obstacles in the environment. Mathematically, this piece of paper is called a hyperplane. Many safety check algorithms work by generating this hyperplane at a single point in time. However, each time the robot moves, a new hyperplane needs to be recomputed to perform the safety check.

Instead, this new technique generates a hyperplane function that moves with the robot, so it can prove that an entire trajectory is collision-free rather than working one hyperplane at a time.

The researchers used sum-of-squares programming, an algorithmic toolbox that can effectively turn a static problem into a function. This function is an equation that describes where the hyperplane needs to be at each point in the planned trajectory so it remains collision-free.

Sum-of-squares can generalize the optimization program to find a family of collision-free hyperplanes. Often, sum-of-squares is considered a heavy optimization that is only suitable for offline use, but the researchers have shown that for this problem it is extremely efficient and accurate.

“The key here was figuring out how to apply sum-of-squares to our particular problem. The biggest challenge was coming up with the initial formulation. If I don’t want my robot to run into anything, what does that mean mathematically, and can the computer give me an answer?” Amice says.

In the end, like the name suggests, sum-of-squares produces a function that is the sum of several squared values. The function is always positive, since the square of any number is always a positive value.

Trust but verify

By double-checking that the hyperplane function contains squared values, a human can easily verify that the function is positive, which means the trajectory is collision-free, Amice explains.

While the method certifies with perfect accuracy, this assumes the user has an accurate model of the robot and environment; the mathematical certifier is only as good as the model.

“One really nice thing about this approach is that the proofs are really easy to interpret, so you don’t have to trust me that I coded it right because you can check it yourself,” he adds.

They tested their technique in simulation by certifying that complex motion plans for robots with one and two arms were collision-free. At its slowest, their method took just a few hundred milliseconds to generate a proof, making it much faster than some alternate techniques.

“This new result suggests a novel approach to certifying that a complex trajectory of a robot manipulator is collision free, elegantly harnessing tools from mathematical optimization, turned into surprisingly fast (and publicly available) software. While not yet providing a complete solution to fast trajectory planning in cluttered environments, this result opens the door to several intriguing directions of further research,” says Dan Halperin, a professor of computer science at Tel Aviv University, who was not involved with this research.

While their approach is fast enough to be used as a final safety check in some real-world situations, it is still too slow to be implemented directly in a robot motion planning loop, where decisions need to be made in microseconds, Amice says.

The researchers plan to accelerate their process by ignoring situations that don’t require safety checks, like when the robot is far away from any objects it might collide with. They also want to experiment with specialized optimization solvers that could run faster.

“Robots often get into trouble by scraping obstacles due to poor approximations that are made when generating their routes. Amice, Werner, and Tedrake have come to the rescue with a powerful new algorithm to quickly ensure that robots never overstep their bounds, by carefully leveraging advanced methods from computational algebraic geometry,” adds Steven LaVelle, professor in the Faculty of Information Technology and Electrical Engineering at the University of Oulu in Finland, and who was not involved with this work.

This work was supported, in part, by Amazon and the U.S. Air Force Research Laboratory.

30+ Best InDesign Business Card Templates

30+ Best InDesign Business Card Templates

In today’s fast-paced professional environment, the value of a well-designed business card cannot be overstated. These small pieces of paper go beyond just sharing contact information; they are a tangible extension of an individual’s or a company’s brand identity. They play a critical role in networking, facilitating the exchange of information, and leaving a lasting impression that can significantly influence professional relationships.

InDesign’s robust features and flexibility make it an ideal tool for creating business cards. The applications’s templates offer a head start in creating these essential networking tools. They save time and ensure consistency, yet provide enough flexibility to customize and make each design unique.

These business card templates will help to streamline the design process, allowing for the efficient production of high-quality, professional-looking cards. They cater to various styles and business needs, ensuring that anyone, regardless of design expertise, can create cards that reflect their brand’s personality and values.

Minimal InDesign Business Card Templates

With clean lines and understated designs, these business card templates convey a sense of refinement, perfect for those aiming for a minimalist aesthetic that speaks volumes.

Clean Business Card InDesign Templates

These business card templates are ideal for professionals who prioritize clarity and sophistication in their branding. Whether you’re a freelancer, entrepreneur, or corporate entity, these InDesign templates offer a polished solution to make a lasting impression in any business context.

Colorful InDesign Business Card Templates

These business card templates, with their bold hues and dynamic layouts, will infuse energy into your brand. They are perfect for businesses looking to make a memorable statement.

Typography InDesign Business Card Templates

From elegant serifs to modern sans-serifs, these templates leverage typography as a focal point, conveying professionalism and style. Elevate your brand identity with designs that command attention through their exquisite type arrangements.

InDesign Business Card FAQs

  • Can I use InDesign templates if I’m new to the software?

    Yes, InDesign templates are user-friendly and suitable for all skill levels, offering a great starting point for beginners.

  • How customizable are InDesign templates?

    Extremely. You can modify color schemes, typography, layouts, and graphics to fit your brand perfectly.

  • What should I include on my business card?

    Include your name, job title, company, phone number, email, website, and social media handles, keeping the layout clean.

  • What’s the best way to print my InDesign business card?

    Use a professional printing service to ensure your design meets its dimensions, bleed settings, and resolution specifications.

  • Can I print business cards at home using these templates?

    Yes, you can print them at home if you have a high-quality printer. Make sure to use premium paper for the best results.

  • How often should I update the business card details?

    Update your design whenever your contact information changes or if you want to refresh your brand’s look. Generally, reviewing your card design every 1-2 years is a good practice.

Creating Professional Business Cards

InDesign templates offer a streamlined, efficient approach to creating business cards that are both professional and memorable. They’re invaluable for anyone looking to make a strong impact through their branding and networking efforts.

The flexibility and customization options available ensure that your business card can truly reflect your unique brand identity.

Investing in the right business card design is not just about sharing contact information; it’s about leaving a mark and opening doors to future opportunities. Let InDesign be your ally in navigating the path to creating a business card that truly stands out.


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Deciphering the cellular mechanisms behind ALS

Deciphering the cellular mechanisms behind ALS

At a time in which scientific research is increasingly cross-disciplinary, Ernest Fraenkel, the Grover M. Hermann Professor in Health Sciences and Technology in MIT’s Department of Biological Engineering, stands out as both a very early adopter of drawing from different scientific fields and a great advocate of the practice today.

When Fraenkel’s students find themselves at an impasse in their work, he suggests they approach their problem from a different angle or look for inspiration in a completely unrelated field.

“I think the thing that I always come back to is try going around it from the side,” Fraenkel says. “Everyone in the field is working in exactly the same way. Maybe you’ll come up with a solution by doing something different.”

Fraenkel’s work untangling the often-complicated mechanisms of disease to develop targeted therapies employs methods from the world of computer science, including algorithms that bring focus to processes most likely to be relevant. Using such methods, he has decoded fundamental aspects of Huntington’s disease and glioblastoma, and he and his collaborators are working to understand the mechanisms behind amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig’s disease.

Very early on, Fraenkel was exposed to a merging of scientific disciplines. One of his teachers in high school, who was a student at Columbia University, started a program in which chemistry, physics, and biology were taught together. The teacher encouraged Fraenkel to visit a lab at Columbia run by Cyrus Levinthal, a physicist who taught one of the first biophysics classes at MIT. Fraenkel not only worked at the lab for a summer, he left high school (later earning an equivalency diploma) and started working at the lab full time and taking classes at Columbia.

“Here was a lab that was studying really important questions in biology, but the head of it had trained in physics,” Fraenkel says. “The idea that you could get really important insights by cross-fertilization, that’s something that I’ve always really appreciated. And now, we can see how this approach can impact how people are being treated for diseases or reveal really important fundamentals of science.”

Breaking barriers

At MIT, Fraenkel works in the Department of Biological Engineering and co-directs the Computational Systems Biology graduate program. For the study of ALS, he and his collaborators at Massachusetts General Hospital (MGH), including neurologist and neuroscientist Merit Cudkowicz, were recently awarded $1.25 million each from the nonprofit EverythingALS organization. The strategy behind the gift, Fraenkel says, is to encourage MIT and MGH to increase their collaboration, eventually enlisting other organizations as well, to form a hub for ALS research “to break down barriers in the field and really focus on the core problems.”

Fraenkel has been working with EverythingALS and their data scientists in collaboration with doctors James Berry of MGH and Lyle Ostrow of Temple University. He also works extensively with the nonprofit Answer ALS, a consortium of scientists studying the disease.

Fraenkel first got interested in ALS and other neurodegenerative diseases because traditional molecular biology research had not yielded effective therapies or, in the case of ALS, much insight into the disease’s causes.

“I was interested in places where the traditional approaches of molecular biology” — in which researchers hypothesize that a certain protein or gene or pathway is key to understanding a disease — “were not having a lot of luck or impact,” Fraenkel says. “Those are the places where if you come at it from another direction, the field could really advance.”

Fraenkel says that while traditional molecular biology has produced many valuable discoveries, it’s not very systematic. “If you start with the wrong hypothesis, you’re not going to get very far,” he says.

Systems biology, on the other hand, measures many cellular changes — including transcription of genes, protein-DNA interactions, of thousands of chemical compounds and of protein modifications — and can apply artificial intelligence and machine learning to those measurements to collectively identify the most important interactions.

“The goal of systems biology is to systematically measure as many cellular changes as possible, integrate this data, and let the data guide you to the most promising hypotheses,” Fraenkel says.

The Answer ALS project, with which Frankel works, involves approximately a thousand people with ALS who provided clinical information about their disease and blood cells. Their blood cells were reprogrammed to be pluripotent stem cells, meaning that the cells could be used to grow neurons that are studied and compared to neurons from a control group.

Emotional connection

While Fraenkel was intellectually inspired to apply systems biology to the challenging problem of understanding ALS — there is no known cause or cure for 80 to 90 percent of people with ALS — he also felt a strong emotional connection to the community of people with ALS and their advocates.

He tells a story of going to meet the director of an ALS organization in Israel who was trying to encourage scientists to work on the disease. Fraenkel knew the man had ALS. What he didn’t know before arriving at the meeting was that he was immobilized, lying in a hospital bed in his living room and only able to communicate with eye-blinking software.

“I sat down so we could both see the screen he was using to type characters out,” Fraenkel says, “and we had this fascinating conversation.”

“Here was a young guy in the prime of life, suffering in a way that’s unimaginable. At the same time, he was doing something amazing, running this organization to try to make a change. And he wasn’t the only one,” he says. “You meet one, and then another and then another — people who are sometimes on their last breaths and are still pushing to make a difference and cure the disease.”

The gift from EverythingALS — which was founded by Indu Navar after losing her husband, Peter Cohen, to ALS and later merged with CureALS, founded by Bill Nuti, who is living with ALS — aims to research the root causes of the disease, in the hope of finding therapies to stop its progression, and natural healing processes that could possibly restore function of damaged nerves.

To achieve those goals, Fraenkel says it is crucial to measure molecular changes in the cells of people with ALS and also to quantify the symptoms of ALS, which presents very differently from person to person. Fraenkel refers to how understanding the differences in various types of cancer has led to much better treatments, pointing out that ALS is nowhere near as well categorized or understood.

“The subtyping is really going to be what the field needs,” he says. “The prognosis for more than 80 percent of people with ALS is not appreciably different than it would have been 20, or maybe even 100, years ago.”

In the same way that Fraenkel was fascinated as a high school student by doing biology in a physicist’s lab, he says he loves that at MIT, different disciplines work together easily.

“You reach out to MIT colleagues in other departments, and they’re not surprised to hear from someone who’s not in their field,” Fraenkel says. “We’re a goal-oriented institution that focuses on solving hard problems.”

Supernatural Action Game Unknown 9: Awakening Reemerges With First Gameplay Trailer And Release Window

Supernatural Action Game Unknown 9: Awakening Reemerges With First Gameplay Trailer And Release Window

Unknown 9: Awakening has been silent since its reveal at Gamescom 2020, but today’s Xbox Partner Preview saw it reemerge with its first gameplay trailer and release window.

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The game is set within the popular sci-fi media franchise and is a third-person adventure starring Haroona (played by The Witcher‘s Anya Chalotra), a woman gifted with mysterious abilities. The game’s official website has the following synopsis: 

You play as Haroona, a fierce truth-seeker (what we call a “Quaestor”) with a unique connection to another dimension known as the Fold. This other plane of existence contains powerful energy and long-lost knowledge that, if brought to light, could usher us into a wondrous era of advancement. However, if this forgotten wisdom falls into the wrong hands, it could lead to our inevitable demise.    

Determined to avenge the wrongs of her past, Haroona’s imminent journey will turn out to involve far more than just retribution. Humanity’s fate is at risk, and her ties to the Fold may be the key to securing our continued existence.

This quest will have you uncover the long-lost secrets of our collective past. You’ll also learn to tap into the Fold’s energy, gifting you incredible skills, known as Umbric abilities, that allow you to take down anyone who stands in your way.

But beware of the Ascendants, a dangerous offshoot of a secret society known as the Leap Year Society. This faction claims to want to use the Fold for the betterment of humankind, but don’t be fooled. Even the best of intentions can lead to catastrophe.

That includes, from what we can tell, sucking people’s souls out of their bodies and telepathically blasting enemies through destructible environments. Haroona can also pull enemies, control their minds, and more. The game also features parkour-style platforming across an Indian city. 

Unknown 9: Awakening is coming this summer to PlayStation 5, Xbox Series X/S, PlayStation 4, Xbox One, and PC.