More than three-quarters of respondents believe their IoT devices are not secure, with 75 percent stating even simple IoT devices pose a threat. Two-thirds of respondents admitted they have little or no ability to protect their “things” from attacks.
This article originally appeared on the Business Insider on 5th October 2018. You can view the original article here: https://www.businessinsider.sg/global-study-reveals-that-75-of-apac-it-security-teams-believe-that-their-iot-devices-are-not-secure/
A new global research study conducted by the Ponemon Institute on behalf of Aruba, a Hewlett Packard Enterprise company (NYSE:HPE), has found that the majority of IT security teams believe that a key gap in their company’s overall security strategy is their inability to identify attacks that use IoT devices as the point of entry. In fact, more than three-quarters of respondents believe their IoT devices are not secure, with 75 percent stating even simple IoT devices pose a threat. Two-thirds of respondents admitted they have little or no ability to protect their “things” from attacks.
The Ponemon Institute study, entitled “Closing the IT Security Gap with Automation & AI in the Era of IoT,” surveyed 4,000 security and IT professionals across the Americas, Europe and Asia to understand what makes security deficiencies so hard to fix, and what types of technologies and processes are needed to stay a step ahead of bad actors within the new threat landscape.
The research revealed that in the quest to protect data and other high-value assets, security systems incorporating machine learning and other AI-based technologies are essential for detecting and stopping attacks that target users and IoT devices. The majority of APAC respondents agree that security products with AI functionality will help to:
- Reduce false alerts (66 percent)
- Increase their team’s effectiveness (62 percent)
- Provide greater investigation efficiencies (57 percent)
- Advance their ability to more quickly discover and respond to stealthy attacks that have evaded perimeter defense systems (53 percent)
Twenty-nine percent of APAC respondents said they currently use some form of machine-learning or other AI-based security solution, with another 29 percent stating they plan on deploying these types of products within the next 12 months. Continuous monitoring of network traffic, closed-loop detection and response systems, and detecting behavioral anomalies among peer groups of IoT devices, were cited as the most effective approaches to better protect their environments.
Current Security Tools are not Enough
“Despite massive investments in cybersecurity programs, our research found most businesses are still unable to stop advanced, targeted attacks — with 59 percent believing they are not realizing the full value of their defense arsenal, which ranges from 10 to 75 security solutions,” said Larry Ponemon, chairman, Ponemon Institute. “The situation has become a ‘perfect storm,’ with nearly half of respondents saying it’s very difficult to protect complex and dynamically changing attack surfaces, especially given the current lack of security staff with the necessary skills and expertise to battle today’s persistent, sophisticated, highly trained, and well-financed attackers. Against this backdrop, AI-based security tools, which can automate tasks and free up IT personnel to manage other aspects of a security program, were viewed as critical for helping businesses keep up with increasing threat levels.”
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5 October 2018