Immaturity & Moral Hazard in the Cyber Insurance Market
Topic: Sophisticated Spear Phishing
96% of attacks start with an Email. This session, Neela will focus on understanding the types of attacks you are likely receiving and the various ways you can protect your organization. A specific area of focus will be the rise in sophisticated Spear Phishing and the way we now have to rely on Machine Learning and Artificial intelligence to stay ahead of the hackers.
Speaker: Neela Jacques
Neela Jacques joined Barracuda Networks in 2018, bringing more than 20 years’ experience of bringing innovative enterprise software products to market. Neela has global responsibility for all aspects of Go-to-Market for Barracuda’s complete portfolio of award-winning, cloud enabled security products. Prior to Barracuda, Neela was Executive Director of the OpenDaylight project and VP at the Linux Foundation. There, Neela led a community of thousands of developers around the world to drive innovations in SDN and NFV with a developer-driven open source platform. He oversaw and provided guidance for all aspects of the project, from governance and technology to community and marketing. Prior to that, Neela was part of the core VMware team that took virtualization from a niche development and testing product to ubiquitous use. He developed and took to market the company’s Software-Defined Data Center (SDDC) vision and strategy. Neela also founded and launched VMware’s first cloud computing initiative in 2007.
NIST Ushers In a New Era of IT Risk Management
Topic: Artificial Intelligence Research for Forecasting Exploit Usage
Vulnerability disclosure rates are at an all-time high – averaging over 1,000 per month in 2019 – more than twice as much as in 2016. But while disclosure rates have remained at this high level, hackers still only exploit a small fraction ranging from 2%-3% by most studies. Ironically, the fact that exploited vulnerabilities make up such a small portion mean that this a particularly challenging machine learning problem. In this talk will review a series of peer-reviewed research papers that were produced under U.S. government grant funding that have investigated this problem. Through a combination of machine learning, graph theory, and data mining (from sources including social media, deepweb, open web, and Tor sites), these approaches provided promising results. These techniques leveraged an understanding of not only the content of hacker discussions, but also the underlying social structure of these communities as well as technical information about the vulnerabilities themselves. This, in-turn, enabled successful forecasting of exploits before they become available – providing a 20-fold improvement in terms of precision. This talk not only reviews the peer reviewed research, but also gives insight into how machine learning can be used to address cybersecurity problems and provides examples of exploit usage successfully predicted ahead of time.
Topic: My CEO Told Me We Have To Move Our Datacenter to the Public Cloud…So, What’s the Big Deal?
Consider the following:
– You don’t own any of it but, it is your responsibility to control and secure everything in it
– You don’t own any of it, but you critically depend on what’s in it
– You don’t maintain any of it, but you trust all of it is properly maintained at all times
– You can’t touch any of it, but it’s up to you to completely orchestrate, control and secure what’s in it
– You can’t physically walk in anywhere but you (and anyone else on the planet with the right access) can virtually access from everywhere
At first blush, a seasoned and experienced network / security director may not fully appreciate the significant differences and challenges his/her staff will experience in trying to fulfill their job duties when their datacenter is in the public cloud. The old strategy of ‘lift and shift’ – creating VM’s of all of your current/existing hardware and ‘shifting’ it to the cloud – will fail. Further evidence of the urgent need for purpose-built tools to secure public cloud infrastructures can be seen in the multiple and repeated data leaks and misconfiguration compromises we have seen in the last year – According to Gartner, “Through 2022, at least 95% of cloud security failures will be the customer’s fault.”
And in a world which is rapidly becoming completely ‘software defined’ new skills and tools are required.
In this session, we will discuss why today’s IT organizations require mature and complete native tools – built in the cloud for the cloud – which provide:
– Complete visibility
– Configuration management – Identity protection
– Secure DevOps
– Compliance Automation
– Governance Enforcement
– Environment Lockdown
We will discuss the subtle yet profound differences in operating your datacenter in the public cloud vs operating your own datacenter. We will discuss the ’Shared Responsibility Model’ and what it really means to you and your IT department as you expand the number of workloads you move to the public cloud. And, as your sophistication increases, and you expand your use of PaaS and IaaS, the complexities follow in tandem. We will show how today’s IT organizations require new, purpose-built tools designed and capable of ’speaking the same language’ as the public cloud infrastructures and built to leverage the extensive API’s they provide.