Dark Reading is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Security Management

4/11/2019
10:15 AM
Larry Loeb
Larry Loeb
Larry Loeb
50%
50%

Majority of Enterprise Firms Lack Active Incident Response Plans

Report found that 77% of respondents indicated they do not have a cybersecurity incident response plan consistently in force across the enterprise.

The Ponemon Institute, in the recent IBM Resilient sponsored study titled "The 2019 Study on the Cyber Resilient Organization," found that a majority of organizations remain unprepared to fully respond to cybersecurity incidents. The study defines resilience as an organization's ability to maintain its core purpose and integrity in the face of cyber attacks.

The study's survey involved more than 3,600 security and IT professionals from around the world, including the US, Canada, UK, France, Germany, Brazil, Australia, Middle East and Asia-Pacific.

The report found that 77% of respondents indicated they do not have a cybersecurity incident response plan consistently in force across the enterprise. This lack of planning has remained constant over the past four years that the study has been conducted.

Also, the report says that among the organizations which do have a plan in place, more than half (54%) report that they do not test their plans with any regularity. This means that the complex processes and coordination that should take place in the wake of an attack will not be managed as well as they should be.

IBM's Cost of a Data Breach 2018 study has found that if an organization can respond "quickly and efficiently" to contain a cyber attack within 30 days, it will save over $1 million (on average) on the total cost of a data breach.

This year's study was the first one to look at the effects of automation. In the study, automation refers to "enabling security technologies that augment or replace human intervention in the identification and containment of cyber exploits or breaches." These sort of technologies will greatly depend upon artificial intelligence, machine learning, as well as analytics.

Twenty-three percent of respondents said they were significant users of such automation, contrasting to the 77% which reported their organizations only use automation moderately, insignificantly or not at all. Organizations with the extensive use of automation rate their ability to prevent (69% vs. 53%), detect (76% vs. 53%), respond (68% vs. 53%) and contain (74% vs. 49%) a cyber attack as being higher when compared to other respondents.

The skills gap also affected resilience. Only 30% of respondents reported that staffing for cybersecurity was at a sufficient level to achieve a high level of cyber resilience. Furthermore, 75% of respondents said that their difficulty in hiring and retaining skilled cybersecurity personnel was "moderately high" to "high." Adding to the murky situation, nearly half of respondents (48%) thought that their organization deployed too many separate security tools, which served to increase operational complexity as well as reduce visibility into the organization's overall security posture.

An emergent finding of the study was the realization that collaboration between privacy and cybersecurity efforts will improve cyber resilience. Sixty-two percent of those surveyed indicated that aligning teams in both areas is essential to achieving resilience.

Ted Julian, VP of Product Management and Co-Founder of IBM Resilient, told Security Now in a prepared statement that, "When proper planning is paired with investments in automation, we see companies able to save millions of dollars during a breach."

— Larry Loeb has written for many of the last century's major "dead tree" computer magazines, having been, among other things, a consulting editor for BYTE magazine and senior editor for the launch of WebWeek.

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
COVID-19: Latest Security News & Commentary
Dark Reading Staff 9/25/2020
Hacking Yourself: Marie Moe and Pacemaker Security
Gary McGraw Ph.D., Co-founder Berryville Institute of Machine Learning,  9/21/2020
Startup Aims to Map and Track All the IT and Security Things
Kelly Jackson Higgins, Executive Editor at Dark Reading,  9/22/2020
Register for Dark Reading Newsletters
White Papers
Video
Cartoon
Current Issue
Special Report: Computing's New Normal
This special report examines how IT security organizations have adapted to the "new normal" of computing and what the long-term effects will be. Read it and get a unique set of perspectives on issues ranging from new threats & vulnerabilities as a result of remote working to how enterprise security strategy will be affected long term.
Flash Poll
How IT Security Organizations are Attacking the Cybersecurity Problem
How IT Security Organizations are Attacking the Cybersecurity Problem
The COVID-19 pandemic turned the world -- and enterprise computing -- on end. Here's a look at how cybersecurity teams are retrenching their defense strategies, rebuilding their teams, and selecting new technologies to stop the oncoming rise of online attacks.
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2020-15208
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can ...
CVE-2020-15209
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one....
CVE-2020-15210
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and ...
CVE-2020-15211
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices f...
CVE-2020-15212
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `outpu...