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Active Directory Forest Recovery Needs Urgent Attention

Damon Tepe
Cayosoft

In the intricate landscape of IT infrastructure, one critical component often relegated to the back burner is Active Directory (AD) forest recovery — an oversight with costly consequences.


Recent findings from a comprehensive survey conducted by Cayosoft in collaboration with Petri, the IT Knowledgebase, shed light on the concerning state of AD forest recovery across organizations. The responses uncovered a critical disconnect between the perceived consequences of forest-wide AD outages and the costly reality of its recovery.

With over 1,000 respondents from various organizational sizes, the survey's overwhelming response within a short period underscores the urgency and relevance of the topic. Let's delve into the key highlights:

1. AD Forest outages are on the rise

Organizations have seen a 172% increase in Active Directory outages over the past two years. In 2021, Cayosoft conducted a similar survey where only 29% of participants reported that they had experienced an Active Directory outage. But since then, that number has jumped to a staggering 79%.

Even more alarming is that 90% of enterprises report experiencing an AD outage, meaning that larger organizations are feeling the brunt of this pain (compared to mid-sized companies and SMBs, which have experienced outages at rates of 79% and 65%, respectively). According to 97% of responses, the increase is a result of 3 common denominators — cyberattacks, faulty hardware or environment, and human error.

2. Dangerous lack of AD recovery testing

Despite the criticality of AD recovery testing, a staggering 73% of respondents admitted to testing less than once per month, with 23% testing only once per year. Yet even when they do test, many fail to test in full by reestablishing AD domain controllers. To ensure AD recovery will work, it needs to be tested frequently and fully, otherwise, organizations will fail to comprehensively understand the scenarios and potential pitfalls of an actual outage. This lack of thorough testing not only prolongs recovery times but also breeds false confidence in backup systems, leaving organizations vulnerable to failure.

3. Cumbersome recovery solutions cause unnecessary delays

The survey revealed that 90% of enterprises must rebuild and/or maintain clean servers in order to recover their AD forest. Given that cyberattacks are the primary cause of AD outages — and malware the predominant tool used in those attacks — many organizations may find themselves without a clean server available for recovery. This means purchasing and configuring a new server (deploy OS, config network, update drivers, and so on.), installing Windows Server (including authoritative restore, metadata & DNS cleanup, more), and only then beginning the actual recovery process, which adds significant delays to the process.

With each added step,critical time is lost, and organizations face heightened risks of prolonged downtime and escalating financial consequences. All in all, this process could add six hours, or more, to the recovery process. When organizations have so much at stake, minutes matter.

4. Organizations drastically underestimate the cost of AD downtime

Despite the potential financial ramifications, 70% of respondents underestimated the cost of AD downtime, expecting losses of at least $100k per day in labor expenses alone. But, assuming an average salary of $75k per year, an enterprise with 15,000 employees risks losing over $4.5M per day just in lost labor expenses during AD downtime. This doesn’t even account for additional losses from disrupted operations and communications with suppliers, partners, and customers. This reality paints a stark picture of the actual financial toll of AD outages — organizations are miscalculating the true cost of Active Directory outages.

Active Directory serves as the authentication and authorization backbone for numerous directory-enabled applications. In fact, 18% of enterprises state that "all or most" of their core systems are reliant on Active Directory. This can include marketing, sales, accounting, and development systems which are crucial to an organization's success. As a result, an AD outage and subsequent recovery delays causes a ripple effect, affecting the entire business.

Conclusion

These findings are a wake-up call for organizations worldwide. With AD outages becoming increasingly prevalent and the costs far surpassing expectations, proactive measures are imperative to mitigate risks and ensure business continuity.

The convergence of rising cyber threats and technological complexities underscores the urgency for robust AD recovery strategies. It's time for organizations to reassess their AD recovery preparedness, prioritize regular testing, and invest in modern solutions capable of automating recovery. Only through proactive measures and a thorough understanding of the true cost of downtime can organizations safeguard their operations and minimize the impact of AD outages on their bottom line.

Damon Tepe is VP of Marketing at Cayosoft

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Active Directory Forest Recovery Needs Urgent Attention

Damon Tepe
Cayosoft

In the intricate landscape of IT infrastructure, one critical component often relegated to the back burner is Active Directory (AD) forest recovery — an oversight with costly consequences.


Recent findings from a comprehensive survey conducted by Cayosoft in collaboration with Petri, the IT Knowledgebase, shed light on the concerning state of AD forest recovery across organizations. The responses uncovered a critical disconnect between the perceived consequences of forest-wide AD outages and the costly reality of its recovery.

With over 1,000 respondents from various organizational sizes, the survey's overwhelming response within a short period underscores the urgency and relevance of the topic. Let's delve into the key highlights:

1. AD Forest outages are on the rise

Organizations have seen a 172% increase in Active Directory outages over the past two years. In 2021, Cayosoft conducted a similar survey where only 29% of participants reported that they had experienced an Active Directory outage. But since then, that number has jumped to a staggering 79%.

Even more alarming is that 90% of enterprises report experiencing an AD outage, meaning that larger organizations are feeling the brunt of this pain (compared to mid-sized companies and SMBs, which have experienced outages at rates of 79% and 65%, respectively). According to 97% of responses, the increase is a result of 3 common denominators — cyberattacks, faulty hardware or environment, and human error.

2. Dangerous lack of AD recovery testing

Despite the criticality of AD recovery testing, a staggering 73% of respondents admitted to testing less than once per month, with 23% testing only once per year. Yet even when they do test, many fail to test in full by reestablishing AD domain controllers. To ensure AD recovery will work, it needs to be tested frequently and fully, otherwise, organizations will fail to comprehensively understand the scenarios and potential pitfalls of an actual outage. This lack of thorough testing not only prolongs recovery times but also breeds false confidence in backup systems, leaving organizations vulnerable to failure.

3. Cumbersome recovery solutions cause unnecessary delays

The survey revealed that 90% of enterprises must rebuild and/or maintain clean servers in order to recover their AD forest. Given that cyberattacks are the primary cause of AD outages — and malware the predominant tool used in those attacks — many organizations may find themselves without a clean server available for recovery. This means purchasing and configuring a new server (deploy OS, config network, update drivers, and so on.), installing Windows Server (including authoritative restore, metadata & DNS cleanup, more), and only then beginning the actual recovery process, which adds significant delays to the process.

With each added step,critical time is lost, and organizations face heightened risks of prolonged downtime and escalating financial consequences. All in all, this process could add six hours, or more, to the recovery process. When organizations have so much at stake, minutes matter.

4. Organizations drastically underestimate the cost of AD downtime

Despite the potential financial ramifications, 70% of respondents underestimated the cost of AD downtime, expecting losses of at least $100k per day in labor expenses alone. But, assuming an average salary of $75k per year, an enterprise with 15,000 employees risks losing over $4.5M per day just in lost labor expenses during AD downtime. This doesn’t even account for additional losses from disrupted operations and communications with suppliers, partners, and customers. This reality paints a stark picture of the actual financial toll of AD outages — organizations are miscalculating the true cost of Active Directory outages.

Active Directory serves as the authentication and authorization backbone for numerous directory-enabled applications. In fact, 18% of enterprises state that "all or most" of their core systems are reliant on Active Directory. This can include marketing, sales, accounting, and development systems which are crucial to an organization's success. As a result, an AD outage and subsequent recovery delays causes a ripple effect, affecting the entire business.

Conclusion

These findings are a wake-up call for organizations worldwide. With AD outages becoming increasingly prevalent and the costs far surpassing expectations, proactive measures are imperative to mitigate risks and ensure business continuity.

The convergence of rising cyber threats and technological complexities underscores the urgency for robust AD recovery strategies. It's time for organizations to reassess their AD recovery preparedness, prioritize regular testing, and invest in modern solutions capable of automating recovery. Only through proactive measures and a thorough understanding of the true cost of downtime can organizations safeguard their operations and minimize the impact of AD outages on their bottom line.

Damon Tepe is VP of Marketing at Cayosoft

Hot Topics

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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 ...