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Articles by Kevin Skapinetz
Sécuriser la prochaine frontière de l'innovation en matière d'IA
Sécuriser la prochaine frontière de l'innovation en matière d'IA Tout comme l'industrie s'est efforcée de sécuriser les serveurs, les réseaux, les applications et le Cloud dans le passé, l'IA est la prochaine grande plateforme que nous devons sécuriser. Mais cette fois, nous ne pouvons pas nous permettre d'échouer.
IBM : Securing the Next Frontier of AI Innovation AI will soon be deeply embedded into the foundation of business - and we can’t afford to make security a retrofit. - MarketScreener
Generative AI holds enormous potential to transform business operations, and our daily lives. But ultimately, AI's potential hinges on trust. If trust in AI is compromised, it could throttle investment, adoption, and our ability to rely on these systems for their intended purpose - turning AI's promise into liability and sunk costs. Just as the industry worked to secureservers, networks, applications and cloud in the past: AI is the next big platform we need to secure.
IBM to Acquire Randori, Transforming How Clients Manage Risk with Attack Surface Management
Organizations today are faced with defending a complex technology landscape — with cyberattacks targeted at constantly changing cloud, distributed, and on-premises environments. Often escaping security scans and periodic assessments, these changes represent windows of opportunities for attackers looking to bypass defenses.
It's Time to Bring Cloud Environments Out of the Shadows
The speed and scale of cloud computing has provided companies around the globe with more flexibility, lower overhead costs and quicker time to value for a wide variety of applications. While the business value of cloud adoption is undebatable, this rapid transition can leave security teams in the dark and sensitive information exposed.
Machine Learning Is Our Best Weapon Against Spiraling Cyberthreats
The security industry is facing a perfect storm created by the combination of an acute skill shortage, an expanding attack surface and increasingly sophisticated adversaries. As a result, the tactics that have served us in the past will no longer suffice. The only way to battle these mounting threats is through collaboration and the strategic use of machine learning to transform computers into trusted allies in the battle against cyberattackers.
Think 2018 Showcases the Power of Security and Resiliency
For today’s generation, there is arguably no greater challenge than cybercrime. From stealing private information and damaging reputations to crashing critical infrastructure and putting enterprises at risk, today’s cybercriminals are testing the limits of security and resiliency. We all benefit from a more connected world, but we are all more vulnerable as well. It’s time for an urgent conversation about new and better ways to protect our families, institutions and societies.
Read My Lips: Researchers Find Ways to Fool Speech Recognition Systems
In the four years since Amazon introduced the Echo, the popularity of speech recognition systems has exploded. One reason is that the quality of voice recognition technology has now reached parity with humans. An estimated 27 million Echo and Google Home devices have been sold, according to Computer Intelligence Research Partners (CIRP), and the Consumer Technology Association expected another 4.4 million were sold during this past holiday season.
Why Security-as-a-Service Is the Next Big Thing
In our personal lives, we consume a huge number of services on demand, from music and television to travel and food. As consumers, we expect to be able to access services monthly, paying only for what we need and leaving the complicated details, such as owning physical assets, upgrading software and making improvements, to the experts. It makes sense that business leaders are beginning to adopt the same approach when it comes to security.
Architecting Segmentation Defense in the Cloud
Although security practitioners don’t like to admit it, segmentation attacks can and do happen in the cloud, and building in segmentation defense can be critical to the security of your cloud environment. Over the past few years, for example, we’ve seen Rowhammer attacks in the cloud, specifically those leveraging the Flip Feng Shui technique to manipulate dynamic random-access memory (DRAM) from address spaces across a virtualization boundary.
The Expanding Role of the CISO: Seven Attributes of a Successful Security Leader
A recent Ponemon Institute report titled “The Evolving Role of CISOs and Their Importance to the Business” reaffirmed the notion that the role the security leader is becoming more critical, especially when it comes to managing enterprise risk, deploying security analytics and protecting Internet of Things (IoT) devices.
Cloud Security Is a Moving Target
Cloud risks have filled the news cycle of late, but the real cloud security landscape is nothing like the headlines would have you believe. For example, serverside ransomware attacks, despite their high public profile, account for only about 2 percent of recorded incidents, according to Alert Logic’s “2017 Cloud Security Report.” In contrast, nearly three-quarters of security events involve attacks on web applications. The study asserted that the public cloud is actually fairly secure.
Five Easy Pieces: How Machine Learning Is Already Boosting Cybersecurity
There are many good reasons why traditional security practices are becoming less effective at protecting against cyberattacks. There is too much security-related data flooding the network from an increasing number of users and devices. There is a lack of skilled personnel to watch over and analyze this data. And the security staff you have likely wastes too much time chasing down false positives.
Machine Learning: When It Works and When It Doesn't
It’s difficult to talk about security analytics without considering machine learning. Machine learning is used to detect malicious websites, flow anomalies, infectious files, infected endpoints and user behavior anomalies. It’s applied to big data repositories to glean information and insights that may otherwise go undetected. Multiple industries are using machine learning to better automate security screening, border entry, college applicant selection, loan analytics and health care.
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