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Cybercrime Costs Rise Nearly 40 Percent, Says HP Research

HP unveiled new research indicating that the cost and frequency of cybercrime have both continued to rise for the third straight year.

According to the third annual study of US companies, the occurrence of cyberattacks has more than doubled over a three-year period, while the financial impact has increased by nearly 40 percent.

Conducted by the Ponemon Institute and sponsored by HP, the 2012 Cost of Cyber Crime Study found that the average annualized cost of cybercrime incurred by a benchmark sample of US organizations was $8.9 million. This represents a 6 percent increase over the average cost reported in 2011, and a 38 percent increase over 2010.

The 2012 study also revealed a 42 percent increase in the number of cyberattacks, with organizations experiencing an average of 102 successful attacks per week, compared to 72 attacks per week in 2011 and 50 attacks per week in 2010.

“Organizations are spending increasing amounts of time, money and energy responding to cyberattacks at levels that will soon become unsustainable,” said Michael Callahan, vice president, Worldwide Product and Solution Marketing, Enterprise Security Products, HP. “There is clear evidence to show that the deployment of advanced security intelligence solutions helps to substantially reduce the cost, frequency and impact of these attacks.”

The most costly cybercrimes continue to be those caused by malicious code, denial of service, stolen or hijacked devices, and malevolent insiders. When combined, these account for more than 78 percent of annual cybercrime costs per organization.

Additional key findings include:

- Information theft and business disruption continue to represent the highest external costs. On an annual basis, information theft accounts for 44 percent of total external costs, up 4 percent from 2011. Disruption to business or lost productivity accounted for 30 percent of external costs, up 1 percent from 2011.

- Cyberattacks can be costly if not resolved quickly. The average time to resolve a cyberattack is 24 days, but it can take up to 50 days according to this year’s study. The average cost incurred during this 24-day period was $591,780, representing a 42 percent increase over last year’s estimated average cost of $415,748 during an 18-day average resolution period.

- Recovery and detection remain the most costly internal activities associated with cybercrime. On an annual basis, these activities account for almost half of the total internal cost, with operating expenses and labor representing the majority of the total.

- Deploying advanced security intelligence solutions can mitigate the impact of cyberattacks. Organizations that deployed security information and event management (SIEM) solutions realized a cost savings of nearly $1.6 million per year. As a result, these organizations experienced a substantially lower cost of recovery, detection and containment than organizations that had not deployed SIEM solutions.

“The purpose of this benchmark research is to quantify the economic impact of cyberattacks and observe cost trends over time,” said Dr. Larry Ponemon, chairman and founder, Ponemon Institute. “We believe a better understanding of the cost of cybercrime will assist organizations in determining the appropriate amount of investment and resources needed to prevent or mitigate the devastating consequences of an attack.”

In conjunction with this third annual study of US companies, cybercrime cost studies also were conducted in Australia, Germany, Japan and the United Kingdom. HP is hosting a series of webinars highlighting the findings from these studies, with the US-focused webinar taking place Nov. 7.

Additional information about this webinar, and those taking place in other regions, is available at www.hpenterprisesecurity.com/ponemon-cost-of-cyber-crime/.

Additional information about HP Enterprise Security Solutions.

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Cybercrime Costs Rise Nearly 40 Percent, Says HP Research

HP unveiled new research indicating that the cost and frequency of cybercrime have both continued to rise for the third straight year.

According to the third annual study of US companies, the occurrence of cyberattacks has more than doubled over a three-year period, while the financial impact has increased by nearly 40 percent.

Conducted by the Ponemon Institute and sponsored by HP, the 2012 Cost of Cyber Crime Study found that the average annualized cost of cybercrime incurred by a benchmark sample of US organizations was $8.9 million. This represents a 6 percent increase over the average cost reported in 2011, and a 38 percent increase over 2010.

The 2012 study also revealed a 42 percent increase in the number of cyberattacks, with organizations experiencing an average of 102 successful attacks per week, compared to 72 attacks per week in 2011 and 50 attacks per week in 2010.

“Organizations are spending increasing amounts of time, money and energy responding to cyberattacks at levels that will soon become unsustainable,” said Michael Callahan, vice president, Worldwide Product and Solution Marketing, Enterprise Security Products, HP. “There is clear evidence to show that the deployment of advanced security intelligence solutions helps to substantially reduce the cost, frequency and impact of these attacks.”

The most costly cybercrimes continue to be those caused by malicious code, denial of service, stolen or hijacked devices, and malevolent insiders. When combined, these account for more than 78 percent of annual cybercrime costs per organization.

Additional key findings include:

- Information theft and business disruption continue to represent the highest external costs. On an annual basis, information theft accounts for 44 percent of total external costs, up 4 percent from 2011. Disruption to business or lost productivity accounted for 30 percent of external costs, up 1 percent from 2011.

- Cyberattacks can be costly if not resolved quickly. The average time to resolve a cyberattack is 24 days, but it can take up to 50 days according to this year’s study. The average cost incurred during this 24-day period was $591,780, representing a 42 percent increase over last year’s estimated average cost of $415,748 during an 18-day average resolution period.

- Recovery and detection remain the most costly internal activities associated with cybercrime. On an annual basis, these activities account for almost half of the total internal cost, with operating expenses and labor representing the majority of the total.

- Deploying advanced security intelligence solutions can mitigate the impact of cyberattacks. Organizations that deployed security information and event management (SIEM) solutions realized a cost savings of nearly $1.6 million per year. As a result, these organizations experienced a substantially lower cost of recovery, detection and containment than organizations that had not deployed SIEM solutions.

“The purpose of this benchmark research is to quantify the economic impact of cyberattacks and observe cost trends over time,” said Dr. Larry Ponemon, chairman and founder, Ponemon Institute. “We believe a better understanding of the cost of cybercrime will assist organizations in determining the appropriate amount of investment and resources needed to prevent or mitigate the devastating consequences of an attack.”

In conjunction with this third annual study of US companies, cybercrime cost studies also were conducted in Australia, Germany, Japan and the United Kingdom. HP is hosting a series of webinars highlighting the findings from these studies, with the US-focused webinar taking place Nov. 7.

Additional information about this webinar, and those taking place in other regions, is available at www.hpenterprisesecurity.com/ponemon-cost-of-cyber-crime/.

Additional information about HP Enterprise Security Solutions.

Hot Topic

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...