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Machine Learning and Microsegmentation

“Make the trust zones smaller” is the rallying cry behind microsegmentation projects. Break up the network into smaller pieces and put firewalls in between those pieces to ensure attackers can’t get from one part of the network to the next. But making microsegmentation projects work relies on a great deal of knowledge of the network and attack pathways. And it’s an incredibly heavy lift–configuring and deploying a microsegmentation solution takes an immense amount of time and resources. Machine learning can significantly reduce the hurdles by learning the network’s intended state and defining the attack pathways that need to be secured, automating the microsegmentation process.

Edgewise’s Chief Data Scientist John O’Neil will deep-dive into the role of machine learning in microsegmentation and demonstrate how a machine learning driven solution could reduce the time and energy needed to deploy microsegmentation from months to hours.
Recorded Jan 18 2018 37 mins
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John O'Neil, Edgewise Chief Data Scientist
Presentation preview: Machine Learning and Microsegmentation

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  • The Four Keys to Unlocking Application Identity for Security Jun 26 2018 5:30 pm UTC 60 mins
    John O'Neil, Pete Nahas, Adam Sell
    Join Edgewise Chief Data Scientist John O’Neil, Agent Developer Pete Nahas, and Director of Marketing Operations Adam Sell for a conversation on how to enable a zero trust project by establishing secure identities for applications in your cloud or data center.
  • Why Zero Trust Security is Essential for Your Cloud and Data Center Recorded: May 25 2018 59 mins
    Dave Shackleford, SANS Analyst, and Adam LeWinter, Solutions Architect at Edgewise
    Edgewise and the SANS Institute co-presented a webinar on the ways in which zero trust networking can better protect the cloud and data center:

    Attackers rarely land on their intended target; more often, they piggyback on approved network address-based controls to move laterally toward their final target. The growth of private and public cloud further reduces the trust and control defenders have over network. To stop attackers from compromising applications and data, defenders must enforce least-privilege access. But how?
  • AmLaw 200 Firm Uses Zero Trust To Enhance Security and Visibility Recorded: Apr 26 2018 25 mins
    Matthew Finnigan, Goulston & Storrs Senior Infrastructure Manager
    Goulston & Storrs, an AmLaw 200 law firm based in Boston, has enhanced the security of their critical applications and of client data by adopting the zero trust model.

    Senior Infrastructure Manager Matt Finnigan will speak about how Goulston & Storrs has used Edgewise Networks to gain visibility into their application topology, bring protection closer to the workload, and simplify policy building with machine learning.
  • Are NGFWs Becoming Obsolete? Recorded: Mar 14 2018 46 mins
    Harry Sverdlove, Founder and CTO of Edgewise Networks
    While the next-generation firewall (NGFW) represented a quantum leap forward in network security, industry analysts have begun to question if the NGFW is a legacy technology now.

    Edgewise Founder and CTO Harry Sverdlove will try to answer this question and to explore a new vision for a cloud-centric workload security strategy.
  • Building a Zero Trust Network Recorded: Feb 14 2018 59 mins
    Evan Gilman and Doug Barth
    Even as the world continues to change, our network security models have struggled to keep pace. Cloud mobility is a paramount security project, but the perimeter security model is showing its age and having difficulty in the new cloud world order.

    We spend millions on complex perimeter and address-focused technologies, but ever-worsening breaches continue to make the headlines year after year. The zero trust model aims to resolve that conflict.

    Zero trust networks are built with security at the forefront, creating policies using software and user identities, rather than spoofable IP addresses. By shifting the identifiers from addresses to software and user signatures, zero trust networks can protect public cloud workloads and on-premises applications with the same ease and flexibility.

    Doug and Evan will discuss the origins of and philosophy behind the zero trust networking model, why it's needed in today's network security landscape and how it can simplify workload protection.
  • Machine Learning and Microsegmentation Recorded: Jan 18 2018 37 mins
    John O'Neil, Edgewise Chief Data Scientist
    “Make the trust zones smaller” is the rallying cry behind microsegmentation projects. Break up the network into smaller pieces and put firewalls in between those pieces to ensure attackers can’t get from one part of the network to the next. But making microsegmentation projects work relies on a great deal of knowledge of the network and attack pathways. And it’s an incredibly heavy lift–configuring and deploying a microsegmentation solution takes an immense amount of time and resources. Machine learning can significantly reduce the hurdles by learning the network’s intended state and defining the attack pathways that need to be secured, automating the microsegmentation process.

    Edgewise’s Chief Data Scientist John O’Neil will deep-dive into the role of machine learning in microsegmentation and demonstrate how a machine learning driven solution could reduce the time and energy needed to deploy microsegmentation from months to hours.
  • Never Trust, Always Verify Recorded: Dec 6 2017 46 mins
    Harry Sverdlove, Founder and CTO of Edgewise Networks
    The perimeter model of network security is broken – attackers have little difficulty in spoofing IP addresses or piggybacking malicious software on top of policy-permitted network traffic to gain access to the network. And once inside the network, it's a simple task for attackers to move laterally until they find the pot of gold and exfiltrate.

    Harry Sverdlove, Founder and CTO of Edgewise, took a look at the four steps to implementing a zero trust methodology in your network:

    - Identify your assets
    - Map your workloads
    - Implement intent-based security policies
    - Continuously monitor and adapt to workload changes
  • Zero Trust Networking 101 Recorded: Oct 25 2017 49 mins
    Doug Barth and Evan Gilman
    Join Evan Gilman and Doug Barth, authors of the new O'Reilly book Zero Trust Networks, and learn about zero-trust networking and how it's going to improve the way workloads are protected in the cloud and data center.

    Evan and Doug explained why network security has to change, how zero trust networking rethinks the entire approach to workload protection, and what an effective zero trust network looks like in practice.
  • Five Ways to Better Protect Application Workloads in the Cloud Recorded: Sep 28 2017 16 mins
    Peter Smith, Founder and CEO of Edgewise Networks
    Peter Smith, Founder and CEO of Edgewise Networks, explained five ways to more effectively protect cloud and data center workloads and stop attack progression in a recent webinar.

    During the webinar, Peter explained how to:

    - Effectively translate application speak to network speak
    - Dramatically simplify policy management and remove complexity
    - Easily prioritize applications that are in urgent need of protection
    - Clearly demonstrate risks and benefits with measurable metrics
    - Ensure developers and application owners can quickly release new features
Edgewise Protects Where Firewalls Fail
Edgewise Networks stops attack progression in the cloud and data center by allowing only trusted applications to communicate over approved network pathways.

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  • Title: Machine Learning and Microsegmentation
  • Live at: Jan 18 2018 7:00 pm
  • Presented by: John O'Neil, Edgewise Chief Data Scientist
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