去中心化网络安全的兴起:趋势与机遇

老雅痞Опубліковано о 2022-11-09Востаннє оновлено о 2022-11-09

Анотація

目前网络安全工程总职位中有8.5%的空缺,而整个软件工程领域的空缺率仅为6.3%。在移动、云、在家工作的时代,身份从零信任开始,网络安全是科技行业最大的技能短缺。

保护无边界目标需要去中心化的网络安全。这个概念激发了一波巨大的变革浪潮,催生了为后防火墙时代而建立的新初创公司。

”“

不幸的是,向去中心化网络安全的转变正在加剧该领域的人才缺口。SignalFire的研究发现,与软件工程行业相比,网络安全工程领域的熟练劳动力短缺程度要严重35%。一项对职位空缺的审查显示,目前网络安全工程总职位中有8.5%的空缺,而整个软件工程领域的空缺率仅为6.3%。

”“

幸运的是,正如我们的数据科学团队的研究所强调的那样,安全的去中心化为企业从头开始重新思考其方法创造了难得的机会。SignalFire发现,自疫情开始以来,超过50%的首席信息安全官加入了新的公司。有了新鲜的思维和正确的工具,企业可以迅速适应。

”“

什么是去中心化网络安全?它被定义为一个由预防性和反应性防御措施组成的集成网络,无论目标在哪里、做什么,或他们在云端和on-prem与谁交互,都会受到保护。

”“

由于疫情加速了远程工作并使之正常化,这种多对多的安全模式是必要的。缺乏背景的永久性网络边界将逐渐消失,取而代之的是能够允许正确的人在正确的时间正确访问正确资产的基础设施。

在过去的30年里,网络安全逐渐变得去中心化:

“”

>第一阶段:1990年代。一对一安全模式。通过集中管理的on-prem应用程序在办公室工作。最佳策略:保险库,没有任何东西可以进入或流出。

>第二阶段:2000年代。一对多安全模式。通过on-prem应用程序和虚拟化服务器在办公室工作。最佳策略:门控堡垒,所有进入者都必须接受检查。

>第三阶段:2010年代。Some-to-many安全模式。通过on-prem或公共云应用程序在家中或路上工作。最佳策略:由加固隧道连接的掩体。

>第四阶段:2020~。多对多安全模式。通过各地应用程序随时随地工作。最佳策略:零信任架构理念与高度集成的动态门控相结合。

“”

这种转变要求对整个安全生态系统进行重新思考,因为现在的解决方案必须灵活且协作,以便在环境和情况变化很大的情况下提供持续的保护。以前,组织寻求严格的、独特的、一流的系统来处理广泛但稳定的场景,而现在他们需要灵活的、可互操作的、特定的解决方案,以适应不断变化的条件。

“”

简单地说,单一的安全解决方案无法取胜,因为现在的访问已经分散在办公室、移动设备和家庭设备之间。威胁形势发展太快,单一供应商无法在各种情况下保护每个层面。

“”

相反,SignalFire认为网络安全应专门针对特定的攻击面和特定行业垂直的解决方案。通过云原生安全的视角,该行业将越来越关注自动化和众包,以解决人才短缺,而DevSecOps将进行扩展以应对开源使用的爆炸性增长。以下是影响当今和未来去中心化网络安全的最大趋势。

“”

去中心化的网络安全趋势

“”

在移动、云、在家工作的时代,身份从零信任开始

“”

>欺诈检测、认证、授权、供应和其他相关工具的改进对保护公司及其数据至关重要

>云应用和API的扩展导致非人类身份的数量是人类身份的45倍,这突出了对全面的人类和非人类身份安全战略的需求

>没有创新的身份和访问管理(IAM)解决方案,就无法实现真正的零信任网络的愿景

“”

对于分布式员工队伍来说,防火墙已经过时了

“”

>在一个无边界的环境中,我们需要零信任的基础设施来仔细检查谁正在连接以及他们正在连接什么

>CIO和CISO没有意识到他们的全部数字足迹会导致组织无法检测到攻击的影子IT

>需要为这些碎片化方面(包括物联网、网络应用和云)提供新的监控和合规工具

“”

网络安全是科技行业最大的技能短缺

“”

>不断增长的需求和培训机会的不足造成了网络安全劳动力和专业知识的短缺

>网络安全工程的熟练劳动力短缺情况比软件工程领域的总体情况严重35%。目前,网络安全工程总职位中有8.5%的空缺,而整个软件工程领域只有6.3%。自疫情开始以来,超过50%的CISO加入了一家新公司

>数字基础设施已成为越来越受欢迎的攻击目标,因为个人黑客、犯罪团伙和民族国家更喜欢网络攻击,认为它们比传统战争或恐怖主义更有效

>美国未能将其最优秀的技术人才吸引到安全领域

>随着机器学习允许对大数据进行分析,自动化程度的提高有助于在短期内缩小差距

>随着我们从物联网设备等非传统来源获取资产和交易数据,数据过剩推动了对数据识别和优先化基础设施的需求

>为了在中期缩小差距,直到高等教育能够迎头赶上,在职和私立教育技能培训解决方案很有必要

>鉴于当前市场劳动力和财务资源较少,网络安全提供商必须更多地依赖产品驱动的增长,而非销售

>供应商必须同时简化整合流程,以减少客户对整合工程劳动力的需求

“”

开源和无代码正在创造不可控制的依赖性迷宫

“”

>现代技术堆栈越来越依赖于快速扩展的开源库,这导致了Log4j等不可预见的大规模漏洞

>尽管它们的使用量不断增加,年轻的、新兴的SaaS和开源公司往往缺乏适当保护其系统的资源和专业知识

>我们需要解决方案来平衡利用开源工具带来的创新并保护日益去中心化的软件供应链

>此外,低代码/无代码软件的Cambrian爆炸性增长使得业务部门的员工可以在没有适当的隐私或安全监管的情况下,自行调整自己的工作流程和应用程序,从而创造出传统审查无法看到的内部自动化层

去中心化网络安全的创业机会

“”

自动化/众包

“”

网络安全人才40%的短缺使得人工干预更加困难。

复杂性和警报量的迅速增加:数十亿的设备,攻击扩散等。

重点:跨云、跨saas的MDR解决方案、大型众包网络。

“”

攻击面特定解决方案

“”

移动设备取代台式机成为主要终端,物联网推动了设备激增。

表明威胁级别并用于数据保护的用户行为。

重点:资产管理、行为认证。

“”

垂直特定解决方案

“”

自动化程度低/安全性差的垂直行业正受到威胁(例如,医疗保健网络攻击增加了55%)。

横向解决方案(如KYC)无法满足独特的合规性和数据隐私需求。

重点:合规数据隐私解决方案,数字风险管理,反欺诈协调引擎。

“”

身份

“”

身份是真正零信任环境的关键。

现代的网络安全漏洞中,80%都涉及一组被破坏的特权凭证。

重点:跨云环境和应用的统一配置和治理。

“”

DevSecOps

“”

开源软件的大规模涌现暴露了安全漏洞。

更快速的云开发推动了安全自动化的需求。

重点:跨编程语言和跨开发生命周期安全解决方案。

“”

云原生网络安全

“”

COVID-19导致工作从企业数据中心转移到云端。

用户、设备和软件应用的激增使基于边界的模式变得多余。

重点:为企业和SMB提供云原生安全的简单打包实施方案。

“”

数据安全

“”

迁移到云端使数据访问和使用民主化,并加速了数据扩散。

由于监管压力增加,发现、分类和监控所有敏感数据变得至关重要。

重点:通过强大的响应措施和多云功能进行实时数据威胁检测。

Пов'язані матеріали

Rented Faith: How Much of the Bitcoin ETF Inflows Is Real Money?

"Rented Conviction: How Much of Bitcoin ETF Flows Is Real Money" The weekly inflows into Bitcoin ETFs are often interpreted as a gauge of institutional belief. However, a significant portion of this activity is driven by a hidden arbitrage trade, not directional conviction. The core mechanism is a cash-and-carry arbitrage: traders buy spot Bitcoin (often via ETFs) while simultaneously shorting CME futures to lock in the price difference, or "basis." This delta-neutral trade is essentially an interest rate play. In weekly data, about half the fluctuation in ETF flows can be explained by new short positions added by leveraged funds (hedge funds), with a correlation of 0.70. Bitcoin's price movement in a given week shows no statistical power in predicting these flows. While this arbitrage trade drives weekly *volatility*, it is not the main component of the cumulative *stock*. Of the total ~$55 billion in net ETF inflows, the current net arbitrage position is only about $1 billion. The remainder is steady, directional buying averaging ~$400 million per week, which constitutes the vast majority of the accumulated "mountain" over two years. Thus, ETF flow data overstates the *volatility* of conviction, not its *level*. This arbitrage trade has been unwinding for nearly two years. Leveraged fund short positions peaked at ~$14 billion in late 2024 and have since declined to ~$4.5 billion. When the basis compresses to unprofitable levels, ETF inflows and short positions retreat together. Recent outflows should not be mistaken for a loss of faith but rather the routine unwinding of this rate trade. For Ethereum ETFs, the pattern is weaker. Accounting for staking yield makes the basis often negative, so neither strong conviction buying nor robust arbitrage supports its flows. To interpret ETF flows correctly, monitor the CME basis versus T-bill rates and leveraged fund net shorts. They reveal how much of the next "demand" headline is real. The real, patient buy-and-hold demand is what constitutes the enduring bulk of ETF assets.

marsbit11 хв тому

Rented Faith: How Much of the Bitcoin ETF Inflows Is Real Money?

marsbit11 хв тому

Soaring Over Tenfold Within the Year: The Frenzy Over SK Hynix Leveraged Products

South China Morning Post The leveraged ETF tracking SK Hynix has surged over tenfold year-to-date, fueled by intense market speculation on the memory chip sector. By June 22, the value of the 'South Korea 2x Long SK Hynix ETF' listed in Hong Kong had skyrocketed by more than 1,061% since the start of the year, while its asset size exploded over twenty times from the end of last year. The rally is driven by AI-driven demand for high-bandwidth memory (HBM), with SK Hynix recently sampling its next-generation HBM4E product. However, industry professionals warn of significant risks. Leveraged ETFs magnify both gains and losses. During a recent market correction, while the underlying SK Hynix stock fell 19.1%, its double-leveraged ETF dropped nearly 38%. Korean regulators noted that such products could theoretically lose 60% in a single day. Additionally, these ETFs face risks like time decay in volatile markets, liquidity spirals during mass redemptions, and extreme price dislocations from market-making failures, as seen in early June when an ETF moved opposite to its underlying stock. The trading is predominantly driven by retail investors, with institutional capital largely absent due to the products' high volatility. Analysts caution that with the semiconductor sector at elevated valuations and facing geopolitical and supply chain uncertainties, leveraged ETFs pose a substantial threat of amplified losses for uninformed investors.

marsbit1 год тому

Soaring Over Tenfold Within the Year: The Frenzy Over SK Hynix Leveraged Products

marsbit1 год тому

18 Months, Over 50x Surge: KIOXIA's Epic Comeback

KIOXIA, a NAND flash memory giant, staged a dramatic comeback driven by AI demand. After a period of significant losses, a failed merger, and missed HBM opportunities, its 2024 IPO began modestly. However, fueled by explosive demand for AI data storage, its stock price skyrocketed over 50 times within 18 months, making it Japan's most valuable company, surpassing Toyota. Its Q1 FY2026 profit guidance soared 30-fold year-over-year, with 2026 NAND capacity already sold out. Key to its success is its 3D NAND technology, BiCS FLASH. As the inventor of NAND, KIOXIA advanced its technology through generations, reaching over 200 layers by 2023. Key innovations include CBA (CMOS directly Bonded to Array), which separately manufactures control circuits and memory arrays for better performance, and OPS (On Pitch Select Gate) to increase density. The company is now developing high-capacity packages like an 8TB solution stacking 32 dies. Looking beyond NAND, KIOXIA is exploring 3D DRAM with its OCTRAM technology, using oxide semiconductor transistors for ultra-low leakage to reduce power consumption. This fundamental research differs from HBM and represents a long-term bet to extend its 3D expertise from NAND into future DRAM architectures. KIOXIA's story highlights how technological assets and shifting market cycles can rapidly transform a company's fortunes. While questions remain about sustaining growth beyond the current AI boom, its resurgence demonstrates that in semiconductors, being down does not necessarily mean being out.

marsbit1 год тому

18 Months, Over 50x Surge: KIOXIA's Epic Comeback

marsbit1 год тому

Market Trends in U.S. Stocks (June 23): Peak at Listing? SpaceX Loses Over $800 Billion in Three Days, Tech Stocks Experience Severe Internal Divergence

Stock Market Trends (June 23): Did SpaceX Peak at IPO? The company loses over $800 billion in market value in three days as a sharp divergence unfolds within the tech sector. SpaceX's post-IPO decline of over 20%, falling below its first-day close, reflects a swift market repricing. The catalyst is a clear shift in narrative from "AI platform potential" to concerns over rising capital costs, as its $8.57 billion IPO and subsequent $20 billion debt offering are earmarked for acquisitions and refinancing existing bridge loans rather than de-leveraging. While high-valuation tech stocks like Google, Meta, Amazon, and Microsoft faced pressure, Micron surged nearly 7% to a record high following a strategic supply deal with Anthropic for HBM and memory, highlighting robust, tangible demand in AI infrastructure. The broader market saw funds rotate into more defensive industrial and financial names. Macro factors included a dip in oil prices to a three-month low on news of a US-Iran framework deal, though logistical hurdles for resuming full Strait of Hormuz shipments remain. Key events ahead include Nvidia's shareholder meeting, Micron's earnings, and the May PCE inflation data. The latter will be crucial in determining whether the sell-off in high-valuation growth stocks, which appears to have just begun, will persist.

marsbit1 год тому

Market Trends in U.S. Stocks (June 23): Peak at Listing? SpaceX Loses Over $800 Billion in Three Days, Tech Stocks Experience Severe Internal Divergence

marsbit1 год тому

Торгівля

Спот
Ф'ючерси
活动图片