Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

ExtraHop and SANS Institute Survey Finds Huge Gaps in Security Visibility During Large-Scale Shift to Remote Work

Two-Thirds of Organizations Have Suffered a Successful Attack in the Past 12 Months, While Almost Half Identified Employee Desktops as the Most Likely Entry Point for Cyber Criminals

ExtraHop, the leader in cloud-native network detection and response, today announced the results of a SANS Institute survey, Network Visibility and Threat Detection. According to the report, more than 64 percent of respondents reported suffering at least one successful attack within the last year, and 59 percent believe a lack of network visibility poses a high or very high risk to their operations. Perhaps most concerning in light of the recent large-scale shift to remote work, 44 percent of respondents see employee desktops as the most likely attack vector.

ExtraHop and SANS Institute Survey Finds Huge Gaps in Security Visibility During Large-Scale Shift to Remote Work

As enterprise organizations and government agencies grapple with how to enable, manage, and secure newly distributed remote workforces, network visibility is more critical than ever as they adjust to the new IT reality. The survey exposes key gaps in enterprise security, including that 98 percent of respondents are concerned about their ability to see into encrypted traffic, while over 80 percent identified east-west traffic and network connected devices as areas of opacity.

Recommended AI News: Nokia Publishes People & Planet Report 2019 As It Looks To Keep People Connected Through The Pandemic

“Having visibility of every device and how they are meant to behave on your network is crucial to understanding what constitutes normal traffic and what could be considered a deviation,” writes survey author Ian Reynolds.

Related Posts
1 of 15,308

Bryce Hein, SVP of Marketing at ExtraHop, concurs. “At a time when organizations are rapidly transitioning to remote work and cloud usage is surging, network visibility has never been more critical,” said Hein. “Organizations need to be able to see into east-west traffic to identify threats in the growing number of cloud workloads, as well as get visibility into which devices are accessing enterprise resources. The fewer tools, less time, and less friction required to get that visibility, the better.”

In addition to identifying critical gaps in network visibility, key survey findings include:

  • Growing complexity within the enterprise environment. Over 93 percent of respondents indicated that they manage more than a thousand endpoints, and almost 90 percent manage between hundreds to thousands of servers.
  • Lack of cloud visibility affects security posture. 40 percent of respondents identified cloud-based systems as a potential entry point for malicious actors. At the same time, only 17 percent reported high visibility into their lateral communication inside their network (east–west traffic), including all cloud traffic.
  • Need to reduce tool sprawl. The majority of companies use tooling from more than 10 vendors, with nearly one-fifth utilizing more than 20. 68 percent of respondents expressed a desire to reduce the complexity of their systems by reducing the overall number of tools involved in their operations.

Recommended AI NewsSAP Makes Support Experience Even Smarter With Machine Learning and AI Enhancements

The survey also found that, while organizations want more network visibility, there are operational impediments. Lack of staff (62 percent), lack of time—including having other issues with greater importance—(51 percent) and lack of appropriate skills in the existing staff (46 percent) were the leading concerns.

According to Reynolds, machine learning will play a key role in overcoming these challenges. “Choose tools that use machine learning to provide improved analytics for access to the right data in less time,” he writes. “This might assist in meeting staffing concerns and provide faster resolution of unexpected behaviors, threats and incidents.”

Recommended AI News: The Privacy Pendulum: How Millennial And Gen Z Perceptions Of Search And Privacy Are Changing

Leave A Reply

Your email address will not be published.