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, in collaboration with Oxford Economics—sheds light on the staggering financial toll of downtime on Global 2000 companies, estimated to be a whopping $400 billion annually. But beyond the mind-numbing numbers, this report also uncovers a deeper issue: the significant impact of human error and how AI and automation can offer a solution.
Downtime is more than just an inconvenience; it’s a massive financial burden. According to the report, the direct costs of downtime include lost revenue, regulatory fines, and penalties for missed service level agreements . On average, companies lose $49 million in revenue each year due to downtime, with an additional $22 million in regulatory fines and $16 million in SLA penalties. However, these figures only scratch the surface., CISO of Splunk, during Splunk’s recent .conf24 conference in Las Vegas. We talked about how detecting and responding to a security event may seem like the end of the incident, but in many ways that is just the first in a cascade of consequences for the organization. He explained that downtime isn't just about the immediate loss of revenue. It's also about the long-term damage to shareholder value, brand reputation, and customer trust. This sentiment echoes throughout the report, which details how hidden costs—such as diminished shareholder value, stagnant developer productivity, and delayed time-to-market—can be just as crippling as direct financial losses.What Time Does ‘The Bear’ Season 3 Come Out On Hulu And Disney+? One of the most alarming findings is the average recovery time from a downtime incident: 79 days. During this period, companies not only work to restore their systems but also must rebuild their brand and reassure customers and partners of their reliability."The cost of recovery isn't just financial. It's about regaining the trust and confidence of your customers and stakeholders," Lee emphasized. The report reveals that 41% of tech executives admit their customers are often the first to detect downtime. This not only impacts customer loyalty but also damages public perception. For Chief Marketing Officers, downtime can significantly affect customer lifetime value and reseller or partner relationships.A striking 56% of downtime incidents are due to security issues, with human error being the primary culprit. From phishing attacks to configuration mistakes, the role of human error cannot be overstated."Human error is a major factor. It's not just about malicious attacks; it's about the everyday mistakes that can have serious consequences," Lee explained. The prevalence of human error in security incidents underscores the need for better solutions to mitigate these risks. Lee shared an insightful perspective:"When you think of downtime, 56% being security-focused isn't surprising. What's surprising is that human error remains the top cause. Automating more processes can help reduce these errors and improve overall security posture."The solution to reducing downtime and its associated costs may lie in AI and automation. The Splunk report highlights how resilience leaders—companies that recover faster from downtime—invest significantly in cybersecurity and observability tools. These organizations are also more advanced in adopting generative AI, using these technologies to automate routine tasks and reduce human error. Lee is optimistic about the potential of AI and automation:"Automation can handle repetitive tasks, allowing human experts to focus on more strategic issues. This not only improves efficiency but also reduces the likelihood of errors." He also stressed that generative AI can assist in identifying and addressing vulnerabilities before they lead to downtime. In practical terms, automation can streamline responses to common security threats. For example, automated phishing response systems can detect and remove malicious emails from all user inboxes simultaneously, minimizing the risk of human error."There are opportunities to automate many aspects of security. Customers often don't realize the full potential of these tools," Lee noted.For companies aiming to minimize downtime and its associated costs, the path forward is clear: invest in automation and AI. These technologies not only enhance security but also improve overall business resilience. Lee noted that companies that invest in business continuity, resiliency, and cybersecurity fare better across all metrics. Venkatraman pointed out, “It's clear that the recipe for digital resiliency and bouncing back quicker from downtime is embracing a unified approach to security and observability.”The prevailing theme of my conversation with Jason Lee was that the key to resilience is not just in preventing incidents but in being prepared to recover swiftly and effectively when they occur. The story of downtime is one of significant financial impact and hidden costs. But it’s also a story of opportunity. By embracing AI and automation, companies can mitigate human error and build a more resilient future.Our community is about connecting people through open and thoughtful conversations. We want our readers to share their views and exchange ideas and facts in a safe space.Insults, profanity, incoherent, obscene or inflammatory language or threats of any kindContinuous attempts to re-post comments that have been previously moderated/rejectedAttempts or tactics that put the site security at riskProtect your community.
.Conf24 Jason Lee The Hidden Cost Of Downtime Human Error Cybersecurity Cyber Resilience
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