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Responding to Cybersecurity Incidents Still a Major Challenge

A study conducted by Ponemon Institute and sponsored by IBM Resilient found that 77 percent of respondents admit they do not have a formal cyber security incident response plan (CSIRP) applied consistently across their organization.

Nearly half of the respondents reported that their incident response plan is either informal/ad hoc or completely non-existent.

Despite this lack of formal planning, 72 percent of organizations report feeling more Cyber Resilient today than they were last year. Highly resilient organizations (61 percent) attribute their confidence to their ability to hire skilled personnel — but organizations need both technology and people to be Cyber Resilient. In fact, 60 percent of respondents consider a lack of investment in AI and machine learning as the biggest barrier to Cyber Resilience.

This confidence may be misplaced, with the analysis revealing that 57 percent of respondents said the time to resolve an incident has increased, while 65 percent reported the severity of the attacks has increased. These areas represent some of the key factors impacting overall cyber resiliency. These problems are further compounded by just 31 percent of those surveyed having an adequate Cyber Resilience budget in place and difficulty retaining and hiring IT Security professionals (77 percent).

“Organizations may be feeling more Cyber Resilient today, and the biggest reason why was hiring skilled personnel,” said Ted Julian, VP of Product Management and Co-Founder, IBM Resilient. “Having the right staff in place is critical but arming them with the most modern tools to augment their work is equally as important. A response plan that orchestrates human intelligence with machine intelligence is the only way security teams are going to get ahead of the threat and improve overall Cyber Resilience.”

The lack of a consistent CSIRP is a persistent trend each year despite a key finding from IBM’s 2017 Cost of a Data Breach Study. The cost of a data breach was nearly $1 million lower on average when organizations were able to contain the breach in less than thirty days — highlighting the value and importance of having a strong CSIRP.

“A sharp focus in a few crucial areas can make a big difference when it comes to Cyber Resilience,” said Dr. Larry Ponemon. “Ensuring the security function is equipped with a proper incident response plan, staffing, and budget will lead to a stronger security posture and better overall Cyber Resilience.”

About the Study: Conducted by the Ponemon Institute and sponsored by IBM Resilient, The 2018 Cyber Resilient Organization is the third annual benchmark study on Cyber Resilience — an organization’s ability to maintain its core purpose and integrity in the face of cyberattacks. The global survey features insight from more than 2,800 security and IT professionals from around the world, including the United States, United Kingdom, France, Germany, Brazil, Asia-Pacific, Middle East, and Australia.

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Responding to Cybersecurity Incidents Still a Major Challenge

A study conducted by Ponemon Institute and sponsored by IBM Resilient found that 77 percent of respondents admit they do not have a formal cyber security incident response plan (CSIRP) applied consistently across their organization.

Nearly half of the respondents reported that their incident response plan is either informal/ad hoc or completely non-existent.

Despite this lack of formal planning, 72 percent of organizations report feeling more Cyber Resilient today than they were last year. Highly resilient organizations (61 percent) attribute their confidence to their ability to hire skilled personnel — but organizations need both technology and people to be Cyber Resilient. In fact, 60 percent of respondents consider a lack of investment in AI and machine learning as the biggest barrier to Cyber Resilience.

This confidence may be misplaced, with the analysis revealing that 57 percent of respondents said the time to resolve an incident has increased, while 65 percent reported the severity of the attacks has increased. These areas represent some of the key factors impacting overall cyber resiliency. These problems are further compounded by just 31 percent of those surveyed having an adequate Cyber Resilience budget in place and difficulty retaining and hiring IT Security professionals (77 percent).

“Organizations may be feeling more Cyber Resilient today, and the biggest reason why was hiring skilled personnel,” said Ted Julian, VP of Product Management and Co-Founder, IBM Resilient. “Having the right staff in place is critical but arming them with the most modern tools to augment their work is equally as important. A response plan that orchestrates human intelligence with machine intelligence is the only way security teams are going to get ahead of the threat and improve overall Cyber Resilience.”

The lack of a consistent CSIRP is a persistent trend each year despite a key finding from IBM’s 2017 Cost of a Data Breach Study. The cost of a data breach was nearly $1 million lower on average when organizations were able to contain the breach in less than thirty days — highlighting the value and importance of having a strong CSIRP.

“A sharp focus in a few crucial areas can make a big difference when it comes to Cyber Resilience,” said Dr. Larry Ponemon. “Ensuring the security function is equipped with a proper incident response plan, staffing, and budget will lead to a stronger security posture and better overall Cyber Resilience.”

About the Study: Conducted by the Ponemon Institute and sponsored by IBM Resilient, The 2018 Cyber Resilient Organization is the third annual benchmark study on Cyber Resilience — an organization’s ability to maintain its core purpose and integrity in the face of cyberattacks. The global survey features insight from more than 2,800 security and IT professionals from around the world, including the United States, United Kingdom, France, Germany, Brazil, Asia-Pacific, Middle East, and Australia.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...