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Companies Suffer Crippling Business Damage During First 24 Hours of IT Outage

Most (83%) companies would suffer business damage during the first 24 hours of an outage and thereafter, according to Pivoting to Risk-Driven Security Operations, a report from Netenrich based on a global survey of IT and security professionals.


The survey also revealed interesting findings and contradictions when it comes to scaling security operations:

■ When looking to upgrade their security posture, 67% focused on tool upgrades yet organizations found that tool integrations (55%), lack of tool expertise (52%) and tool sprawl (41%) were their biggest pain points.

■ While security teams aspire to do more proactive and risk-driven operations, like risk management (37%), incident analysis (34%), threat modeling (29%), they spend most of their time doing foundational and reactive security tasks, like updating patches (43%), researching and analyzing critical incidents (41%) and removing false positives (40%).

Security teams are trapped doing the same thing they have been doing for years — reactive security. They're adding more tools, needing more resources and chasing thousands of alerts while lacking the contextual data and prioritization that's highly needed.

"Organizations fail to shift to a proactive approach that prioritizes security defenses around the most likely, highest business-impacting attack vectors," said John Bambenek, Primary Threat Researcher at Netenrich. "Security teams need to start evaluating business risk based on the likelihood of attack success and mapping that attack success to what it would actually cost the business. Focus on the critical issues that matter most to reduce the attack and outage impact."

The survey finds that companies want to do more threat modeling, incident analysis and risk management, however, very few employ it or even know how:

■ Less than 40% perform threat modeling.

■ Less than half conduct threat modeling on a daily (16%) or weekly basis (31%).

■ Only 30% practice external attack surface management.

"Our industry has taken an IT internal view to security rather than an attack external view of security," adds Bambenek. "Organizations need to shift mindsets, adopt a managed risk, not an IT-based approach. Security operations needs to be data-driven and predictive where continuous threat modeling runs at its core."

Other key findings from the report include:

■ 80% of companies have 30% or less of their IT budget dedicated to security.

■ Companies experienced minimal security budget increases despite growing IT demands as a result of remote work shifts and COVID impact: 19% reported no increases to security budgets, 29% received less than 10% budget and 8% received 50% or more budget increase.

■ Companies looked to MSPs to augment their security operations: 47% rely on managed services to run their ops entirely or in hybrid arrangements.

■ MSPs have an opportunity to expand their services by offering advanced, risk-based security and threat modeling services: only 17% of MSPs are offering threat modeling.

Methodology: Administered by Dimensional Research, a total of 333 qualified global IT and security professionals participated in the survey and carried enterprise security responsibilities at medium to enterprise-sized companies.

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Companies Suffer Crippling Business Damage During First 24 Hours of IT Outage

Most (83%) companies would suffer business damage during the first 24 hours of an outage and thereafter, according to Pivoting to Risk-Driven Security Operations, a report from Netenrich based on a global survey of IT and security professionals.


The survey also revealed interesting findings and contradictions when it comes to scaling security operations:

■ When looking to upgrade their security posture, 67% focused on tool upgrades yet organizations found that tool integrations (55%), lack of tool expertise (52%) and tool sprawl (41%) were their biggest pain points.

■ While security teams aspire to do more proactive and risk-driven operations, like risk management (37%), incident analysis (34%), threat modeling (29%), they spend most of their time doing foundational and reactive security tasks, like updating patches (43%), researching and analyzing critical incidents (41%) and removing false positives (40%).

Security teams are trapped doing the same thing they have been doing for years — reactive security. They're adding more tools, needing more resources and chasing thousands of alerts while lacking the contextual data and prioritization that's highly needed.

"Organizations fail to shift to a proactive approach that prioritizes security defenses around the most likely, highest business-impacting attack vectors," said John Bambenek, Primary Threat Researcher at Netenrich. "Security teams need to start evaluating business risk based on the likelihood of attack success and mapping that attack success to what it would actually cost the business. Focus on the critical issues that matter most to reduce the attack and outage impact."

The survey finds that companies want to do more threat modeling, incident analysis and risk management, however, very few employ it or even know how:

■ Less than 40% perform threat modeling.

■ Less than half conduct threat modeling on a daily (16%) or weekly basis (31%).

■ Only 30% practice external attack surface management.

"Our industry has taken an IT internal view to security rather than an attack external view of security," adds Bambenek. "Organizations need to shift mindsets, adopt a managed risk, not an IT-based approach. Security operations needs to be data-driven and predictive where continuous threat modeling runs at its core."

Other key findings from the report include:

■ 80% of companies have 30% or less of their IT budget dedicated to security.

■ Companies experienced minimal security budget increases despite growing IT demands as a result of remote work shifts and COVID impact: 19% reported no increases to security budgets, 29% received less than 10% budget and 8% received 50% or more budget increase.

■ Companies looked to MSPs to augment their security operations: 47% rely on managed services to run their ops entirely or in hybrid arrangements.

■ MSPs have an opportunity to expand their services by offering advanced, risk-based security and threat modeling services: only 17% of MSPs are offering threat modeling.

Methodology: Administered by Dimensional Research, a total of 333 qualified global IT and security professionals participated in the survey and carried enterprise security responsibilities at medium to enterprise-sized companies.

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...