Artikel About Drones and Swisscom Innovation Startup Process

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Artikel About Drones and Swisscom Innovation Startup Process. Authors Dominique Brack and Klaus Gribi.

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BURGISTEIN, Switzerland, September 1st 2016 - Dominique C. Brack, known as D#fu5e and VP of operations at social engineering engagement framework (SEEF), will release the first known social engineering icons, today. The SEEF social engineering Icons are a powerful visual tool, allowing users to identify a message, without having to think. People recognize icons faster than words. Visual perception is one of the most productive ways through which people can obtain information and process it. Until today, social engineering had no icons to describe social engineering attack vectors in a detailed and appealing way. The extensive collection of social engineering icons includes icons for: well-known attack vectors, like phishing, dumpster diving, tailgating, or eavesdropping, and for less known attack vectors like: befriending, reciprocation, shoulder surfing, or impersonation. In total, there about 38 icons.

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“Intrusion attempts are more and more frequent and sophisticated, regardless of their target (state or corporation). In this context, international hacking events are multiplying. Hack In Paris attendees will discover the realities of hacking, and its consequences for companies. “The program includes state of the art IT security, industrial espionage, penetration testing, physical security, forensics, malware analysis techniques and countermeasures. The one-week event consists of three days of training and two days of conferences – all in English – bringing together security officers (CISOs, CIOs) and hacking technical experts. Hack in Paris is being held from the 27th June – July 1st 2016 at la Maison De la Chimie, Paris.

Teaser SEEF hack in Paris presentation

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Sneak peek preview area 41 conference Zürich 10. - 11- June 2016

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If you are observing the social engineering landscape in terms of social engineers, documentation, and frameworks out there, you will realize the topic has, as we call it, a low maturity. Low maturity means there are no well-defined processes or defined frameworks in which professionals can apply and benchmark themselves. Today’s landscape is little like the Wild West. There is lot of fear, uncertainty, and doubt (FUD). With SEEF we want to oppose this situation. As you maybe have seen, our motto is visible on the book covers badge: Docendo – Discimus. It is a Latin proverb and means: “By teaching, we learn.” This is what we want. We want to teach anyone interested in social engineering the skills to do it properly, professionally, and ethically. This is Social Engineering Engagement Management (SEEF) — FIRST CUT. It is literally the first cut of the framework that we have pioneered and want to share.

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May 2014 There was a line up to the problem. It was not sudden. There was time to fix the problem without shortcuts (1 year). Before the problem got out of hand (involvement of authorities). Big mistake N#1 (unintentionally or intentionally): Volkswagen tells regulators that the differences amount to technical issues and "unexpected" test conditions. First try to cover up or the start of workarounds? Protective statement. Recall in December 2014. Because the problem couldn't be fixed? The intention to “doctor” could also have been started here. May 2015 next governmental involvement. Second chance to make things right i.e. coming forward or disclose voluntarily. July 2015 point of no return. Third chance for a coming out or getting a handle on the problem. September 2015 problem total out of control on all levels; politically, technically, environmentally, reputation wise.

Reputelligence lifecycle v3 Volkswagen "defeat device"

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Cloud readiness can be reduced to one simple statement. You don't need a maturity assessment or expensive consultants :-). Have you a working information classification policy? f yes: congratulations you can go now you will be fine. «Se Klaud Brojäkt bräiks daun – wot is se först sing yu du?» Hä? U blame se Se Ei O. No no no, you dreamer you hä dream on. Ei tell dir okey. Se sewen sinking steps. 1. Finding the right (or left) broblem to solve 2. Sefining the broblem 3. Analysing the broblem 4. Developing bossibilities 5. Selecting se best solution 6. Implementing 7. Evaluating and lörning

«Se Klaud Brojäkt bräiks daun – wot is se först sing yu du?» Hä?

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Today, good news -- or bad news -- breaks in real time. And anything can go viral in short order. This is great for cute babies laughing in videos, or heart-warming tales of good deeds. It's not great, however, for the unexpected, inevitable crisis that any organization will face in its existence at some point. Luckily, nothing in the social media world is too much different than in the "real world." What is the problem you might ask? Problems (real- and digital world) usually follow a very specific pattern and dynamic. Understanding the patterns and dynamic behind will significantly improve resiliency. When does an incident become a crisis? Managing a massive crisis is very difficult because of the information asymmetry. Defining where you stand in a crisis is even more difficult. Complex problem or crisis management requires specific techniques and tools. Numerous examples of bad crisis management are known to everyone. If you are managing a crisis from the inside you need actual up to date information on the current situation (where are we) and next steps (what are we going to do next). So far this was a very hard task. Either you have been at the will of a hopefully decent crisis manager or PR firm. The lack of transparency always bugged me. I was to set out to look for ways of making the problem mangement or crisis management process more transparent for everyone involved. I always take a highly strategic view of things and aim for practical application and simplification. Out of this came the Reputelligence™ Problem LifeCycle. At first it looks overwhelming but i will guide you through the construction. This will help you understand the principles behind the life-cycle so you can apply it in your context.

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The following example of a recent story is the perfect analogy for dynamic policy creation. The Swiss MediaMarket (Electronics Chain) reacted amicably when we were presented with a heat wave. All over the news people where warned about the topic of leaving your children or your pets in the car. Unfortunately there where fatalities due to the practice of leaving small children in the car. There was a lot of talk but MediaMarkt spun into action. This story has all the ingredients for future security (advanced persistent threats) APT's and how you will have to deal with them. The same process' will have to be applied to your policy framework.

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If there is just one thing you need to remember about information security it's this: "Data is an asset & asset = money" This is all there is you need to know for information security. I also work on volunteering for a hacker high school project and the most important thing about security I try to teach the teenagers is this. "Data is an asset" Usually I do it this way: I will have some coins at hand for this. Then I make a list together with the teenagers with attributes they use for registration for a so called "free" service. "If it's free then U are the product in some way or form". The problem with data is an asset is: it's abstract. Giving away information bytes is painless, easy and of no consequence in the first place. So I need to make a connection for the teenagers to remember or to link in the brain: data is an asset. Now the abstract concept of "Data is an asset" has been linked. The discussions becomes focused around: what do I get in return for the money (asset: your name) I paid for. Where is my freedom? Why do I don't get money if people are making money from my data and information (advertising). I should get paid if my information is used to make profit. I shouldn't reveal my information too easily.

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Hack back series is all about YOU and how I can contribute to make the internet a safer place for everyone. LinkedIn Forensic for the standard user. I like to guide you through a forensic approach to check for false profile pictures and false profiles on LinkedIn . The techniques you learn will are essentials skills now and in the future. More and more you will have to do this in the digital world since attacks, scams and scum bags are upsizing their attack intelligence. Protect yourself and become more diligent in the use of digital media.

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Sgs cloud 5 mar-2015 bsl dominique c. brack csach - public version

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If not even a former first lady or future presidential candidate “gets it”, what's wrong with information security awareness? Of course responsibility comes with the person using services but what about the information security adviser? Was this partially his fault too? Had he any change to raise his voice for promoting information security awareness? Fact is we all know how hard it is to train VIP’s, senior executives or developers ;-) in the matter of information security awareness (I am not talking about the great guys out there advocating information security on all levels and ranks, I am talking about the main stream people). At least I could tell you some great stories about my personal experiences with it (next time maybe).

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EN- Teaser for tonight's cloud presentation. Will share all the slides after the event. The graphic depicts the typical cloud project phases. Honeymoon (everyone on their horses and charge!), eclipse (oh oh first shadows), etc. DE- Kleiner Ausblick in die Präsentation von heute Abend. Der Ausschnitt zeigt die Projekt Phasen bei einem Cloud Projekt. Die Hochzeits- Reise Phase (Alles klar sofort loslegen-Action!)

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There are many definitions about what a leader entails and what not There are similar many tips and tricks how to become one Let me share experience and knowledge Dive deep into the corporate world and into management wisdom There are many definitions what a leader does and how he/ she does it From very inspirational to utterly complicated, oversimplified to outright wrong There is next to no definition how you actually know when you are one Let me help you there with a simple definition

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About the annoying practice of publishing quizzes on social networks in order to gain likes, shares and raise in popularity. My open comment to those practicing this extensively: Please stop sharing these quizzes, brain teasers and riddles. I have you in my contacts for professional reasons. My network is comprised of high valuable contacts and professional business associates. I see LinkedIn as a professional network and do not consider this type of interaction as a professional dialog. In order to protect myself and my valued connections I will consequently remove partners in my network who I believe disturb and distract a professional exchange. You have to value for yourself what matters more: the connection you have with me and the benefit of the associated network or the gained popularity and interaction you have through those quizzes. I do value original content and personal views for sharing but not shared canned content which I believe only fuels the purpose of gaining popularity, hits and likes. I am happy to connect back with you when you consider my view of the use of LinkedIn and the responsibility that comes with it. If you want to connect on a personal level please send a new connections request and let me know your thoughts. It was a pleasure having you as one of my valued contacts.

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As an SEO expert specializing in the IPTV and VPN niches with over five years of experience, I navigate the unique challenges of these industries adeptly. My strategic approach encompasses competitive analysis, targeted keyword research, content optimization, and high-quality backlink creation. My goal is to optimize my clients' online visibility, generating targeted organic traffic and maximizing their return on investment. With a results-driven approach and a passion for innovation, I'm poised to assist my clients in thriving in an ever-evolving digital landscape. <a href="https://iptvreel.com">

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This presentation dives into the practical applications of machine learning within Google's operations, providing a comprehensive overview of how to leverage AI technologies to solve real-world business challenges. Key Points Covered: - Introduction to Machine Learning at Google: Discussion on the role of ML and its evolution in enhancing Google's operational efficiency. - Experience Sharing: Insights into the team's long-term engagement with machine learning projects and the impacts on Google’s operational strategies. - Practical Applications: Real-world examples of ML applications within Google’s daily operations, providing a blueprint to adapt similar strategies. - Challenges and Solutions: Discussion on the challenges faced during the implementation of ML projects and the strategic solutions employed to overcome them. - Future of ML at Google: Insights into future trends in machine learning at Google and how they plan to continue integrating AI into their ecosystem.

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