エクスポージャー管理とは?

• Exposure management consolidates visibility across your entire attack surface, including IT, cloud, OT, AI, identity, and more.
• It transforms abstract, contextless security data into a business-aligned qualification of risk.
• Continuous exposure management looks at how three primary risks (vulnerabilities, misconfigurations, and excessive permissions) create toxic combinations that attackers can exploit and move across your attack surface.
• By mapping attack paths, exposure management helps you find and break attack chains at scale before a breach or material impact.

Exposure management is a strategic, business-centric approach to cybersecurity that reduces cyber risk by continuously contextualizing, prioritizing, and closing your organization’s most critical cyber exposures.

It gives you insight and context across your entire attack surface — IT, cloud, OT, AI, identity, and hybrid environments — including three primary risks:

1. 脆弱性
2. 設定ミス
3. 過剰な権限

When these risks combine, they create toxic combinations that attackers are eager to exploit. 

Exposure management maps and prioritizes the viable attack paths that lead to your mission-critical assets and data, so you can see how attackers could exploit them and move laterally across your environment. Cybersecurity exposure management also helps you understand how to break these attack chains at scale.

Traditionally, security teams struggled to correlate these risks because security data often lives in siloed security tools: one for vulnerability management, one for cloud security, another for endpoints and your networks, and on, and on. And often, teams responsible for managing those domains rarely communicate with one another.

Exposure management transcends these silos so your teams can focus on remediating true business exposures — the cyber risks most likely to materially impact operations, compliance, and your organization’s reputation. 

The Tenable One Exposure Management Platform uses third-party data from native sensors across your attack surface, as well as third-party data from your enterprise security tools to unify visibility, insight, and action.

The result of exposure management is a fundamental shift in your security program. Instead of reacting to noisy security alerts, you can:

• Get comprehensive visibility across your attack surface with enterprise-wide views of cyber risk
• Expose security gaps that leave you open to attacks
• 文脈を利用して脅威を予測
• Understand the true exposures that threaten your organization
• Prioritize remediation and focus resources based on what will prevent the most likely attacks
• Improve cyber risk communication across your organization
• Take actions that drive business value
• Understand a business-aligned quantification of your organization’s exposure

Want to take a deeper dive into exposure management? Check out our exposure management resource center.

Tenable pioneered the exposure management category in cybersecurity with the cyber exposure ecosystem in October 2017. Tenable introduced the first exposure management platform in 2018.

Gartner created a category for continuous threat exposure management (CTEM) in 2022, a cybersecurity framework to guide exposure management processes. 

In 2025, the technology research firm introduced a new category of comprehensive exposure management tools called exposure assessment platforms (EAPs) to combine vulnerability assessment and vulnerability prioritization capabilities into a single platform.

Exposure management is important because it helps your organization overcome these common security challenges:

1. Increasing volume of security risks and alerts with little or no context, including vulnerabilities, misconfigurations, and identity exposures.
   • Exposure management gives you a unified view of your most critical exposures — the preventable risks that threat actors are highly likely to exploit, and that could have significant impact on your business. Instead of digging through a list of vulnerabilities and reactively responding to security alerts, exposure management uses threat intelligence and business context to help you proactively prioritize and remediate exposures most likely to impact your organization.
2. A sprawling, diverse attack surface that introduces technologies like the cloud, containers, Kubernetes, cyber-physical systems, hybrid applications, AI, and more.
   • Exposure management helps you shrink your exploitable attack surface. You can use an exposure management platform to get a unified view of all your assets and exposures, wherever they are, even across hybrid environments.
3. Increasingly sophisticated and well-organized threat actors use advanced tactics like AI, ransomware, and hacking-as-a-service tools.
   • Exposure management helps you find and close viable attack paths before attackers find them. By eliminating these attack chains at scale, you can neutralize attackers’ abilities to move laterally or launch high-impact attacks.
4. Domain-specific security silos and tools create significant blind spots across your attack surface.
   • From web app security to vulnerability management, from cloud security to identity security, OT security, and AI security, exposure management helps you unify siloed security functions and data from disparate security tools.
5. An inability to communicate cyber exposure to executives and boards, or align security risk with business risk to quantify risk posture.
   • Exposure management helps you more accurately communicate risk and align it to business risk, so stakeholders, like your board, can take actions that drive business value.
6. With AI a part of your daily workflows, every prompt or integration is an AI threat. If you can’t see how employees use AI, accidental data leakage or a prompt injection is a real possibility.
   • An exposure management solution with AI security capabilities can reduce the risk of accidental leakage that happens through prompts, uploads, and automated interactions. It gives you continuous insight into AI usage across your workforce and agent-driven workflows. With exposure management, you can manage an inventory of all digital AI assets while also monitoring who uses AI platforms, how employees use them, and where risky behavior occurs. With exposure management, you can automatically apply governance controls, like your AI acceptable use policy (AI AUP), to decrease AI risk impact, without slowing AI innovation.

1. Strategy
   • Define and scope the problems you want exposure management to solve
   • Know the outcomes and goals you want to achieve
   • Get insight into your attack surface, risks, and which types of threat actors and tactics pose the greatest threat to your organization
   • Consider scoping your program around a specific use case, like:
     • 資産インベントリ
     • 緊急対応
     • Exposure analytics
     • エクスポージャーの優先度付け
     • 脅威の調査
   • Know your exposure management maturity level. Unsure? Take this quick exposure management maturity assessment to get more insight.
   • Determine desired security posture
   • Conduct an exposure management gap assessment to determine which capabilities you don’t have and what you need to reach that state
2. Visibility
   • Include all forms of preventable risk, like excessive permissions, vulnerabilities, and misconfigurations
   • Inventory all of your assets, everywhere — cloud, identity, apps, AI, OT, IoT, and more
   • Use exposure management software to see your entire attack surface in a unified dashboard
3. Insight:
   • Use a consistent and robust scoring methodology for all of your assets and risks
   • Avoid disparate scores that siloed security tools create
   • Add technical and business context to exposure data to better prioritize and remediate risk based on possible business impact
4. Action
   • Define roles
   • Determine cross-domain resources needed to support your exposure management program
   • Use an exposure management solution to integrate, streamline, mobilize, and optimize security processes and workflows
   • Use cross-domain analytics and reporting to measure program effectiveness
   • Set and enforce service level agreements (SLAs)

Want to know more about the four components of exposure management and their benefits? Download this executive brief for more insight.

Exposure management can dramatically improve outcomes from your existing security program and investments. Here are some key exposure management benefits: 

1. Unify visibility, insight, and action across your attack surface
2. Turn security data into continuous action to close exposures before exploitation
3. Apply technical and business context to proactively mitigate exposure before a breach or material impact
4. Collect and consolidate asset, identity, risk data, and other information from your existing security tools into a single source of truth
5. Shrink your attack surface and related threat and incident volumes
6. Effectively collaborate and communicate exposure data across IT teams, security, and other departments, including executives and your board
7. Automate workflows to reduce manual processes and speed up response times
8. Business-align, measure, and optimize investments in people, processes, and technologies.
9. Streamline compliance with changing regulatory mandates.
10. Reduce alert noise, elevate security skills, and reduce staff churn.
11. Govern generative AI use by identifying which AI tools your employees use and when they share sensitive or protected data in AI platforms.

• Vulnerability management focuses on individual risk findings
• Exposure management focuses on business-impacting exposures

Vulnerability management assesses, ranks, and remediates individual vulnerabilities and often uses industry-standard vulnerability scoring systems, like CVSS, to inform prioritization. Contextless, static vulnerability scores like these leave your security teams with a never-ending list of security flaws, and no insight into the likelihood — or how — these cyber threats may actually impact your business.

If you only apply vulnerability management best practices, you’ll never see your attack surface the same way an attacker does or understand how asset, identity, and risk relationships combine to help them do things like disrupt service, steal intellectual property, or launch a ransomware attack.

Exposure management, on the other hand, looks across your entire attack surface, including all vulnerabilities, misconfigurations, and excessive permissions.

It maps and prioritizes viable attack paths attackers could use to get to your mission-critical assets and data. The best exposure management platform with these capabilities can also provide specific remediation guidance to help you break these attack chains at scale. 

Unlike vulnerability management that leaves you juggling abstract security findings, exposure management gives you a business-aligned quantification of your organizational exposure. It can also help you communicate those exposures to your board and executives in a language they understand.

Here are five exposure management best practices to help you implement an exposure management program:

ステップ 1: 自社環境のアタックサーフェスを把握する

Identify every asset across your entire attack surface, including cloud, IT, OT, IoT, AI, and more. Use an exposure management platform to get continuous visibility into all assets, applications, identities, and workloads to uncover blind spots in your internal and external-facing infrastructure.

ステップ2: 回避可能なリスクをすべて特定する

Find risks that could impact your business, such as misconfigurations, vulnerabilities, and excessive permissions. Map asset relationships with threat intelligence to understand how these risks become toxic combinations, instead of treating them in isolation.

ステップ 3: 最重要事項を優先する

Map assets, identities, and risks to critical services, processes, and functions. Focus your resources on the exposures that lead directly to mission-critical systems or sensitive data. Align remediation with business goals like operational resilience, proactive risk management, financial risk mitigation, and cybersecurity compliance.

ステップ 4: 修正して検証する

Use threat and business context to prioritize remediation of exposures with a high probability of exploitation and material impact. Use an exposure management platform with risk-based guidance to remediate these exposures and break attack chains at scale. Use automation within the solution to track remediation and verify your fixes successfully close security gaps and meet established SLAs and compliance requirements.

ステップ 5: 継続的に監視して改善する

Align investments in people, processes, and technologies to support business objectives. Use continuous practices to routinely assess, prioritize, and reduce exposures based on the changing threat landscape, your expanding attack surface, business context, and the latest threat actor tactics.

A few more helpful exposure management tips:

• Use an API-first integration strategy to unify siloed security data.
• Implement an exposure management solution that ingests findings from your existing security stack, such as cloud, AI, endpoint detection, and identity tools. Use pre-built connectors, like Tenable One Connectors, to break down data silos and consolidate insights so you can understand risk context and how attackers see your environment.
• Consider working with an exposure management consultant.
• Look for a vendor with use cases, customer reviews, trials or demos, implementation strategies, onboarding, active user engagement communities, and ongoing customer support.

Want to take a deeper dive into exposure management best practices? Check out the Tenable blog, “What is exposure management, and why does it matter?”

エクスポージャー管理における攻撃経路分析の役割

攻撃経路分析 (APA) は、攻撃者がシステムやネットワークの侵害に使用する可能性がある潜在的な経路を事前に検出するためのリスク管理戦略です。 

攻撃経路を明らかにしてマッピングすることで、脆弱性、設定ミス、権限がどのように組み合わさってエクスポージャーを生み出すかをより詳しく理解できます。

APA は、攻撃者の視点から潜在的なセキュリティ上の弱点を発見し、サイバー侵害が引き起こされる前に修正することに役立ちます。 

攻撃経路の管理は、エクスポージャー管理に欠かせない要素です。 潜在的な攻撃経路がどこにあるのか、攻撃者がそれをどのように悪用し得るかがわかり、どのように (多くの場合隠れたままで) 環境全体でラテラルムーブメントを行い、権限を昇格させ、データを窃取し、さらにはランサムウェアやその他のマルウェアによってシステムを人質に取るのか、などが確認できるようになります。

過去のセキュリティチームは Active Directory (AD) のような重要で潜在的な攻撃経路のいくつかを見落としていたという履歴があります。エクスポージャー管理のベストプラクティスを Active Directory に適用すれば、AD の設定ミス、過剰な権限、その他の攻撃の侵入口を継続的に検出できます。 

このアプローチが実行されていない場合、攻撃者は Active Directory の弱点を積極的に悪用して最初の足場を固め、その後すぐに権限を昇格することができます。ひとたびこれが成功すると、攻撃者はネットワーク全体を移動し、検出や閉鎖が困難なバックドアを作成できるようになります。 

包括的なエクスポージャー管理プログラムの一環として APA を実行することで、攻撃者がドメインコントローラーを侵害したり、マルウェアを展開したり、企業を完全に支配したりすることが防止できます。

APA を使用すると、攻撃経路のリスクの修正をより適切に優先順位付けして、攻撃経路の連鎖を先行的に断ち切ることもできます。 たとえば、エクスポージャー管理計画の一環として不必要な管理者権限をオフにすれば、攻撃者の移動を防ぎ、ドメインコントローラーへのアクセスを制限することができます。

また、攻撃経路分析を使ってエクスポージャー管理プロセスを成熟させることもできます。 たとえば、実際の攻撃のシミュレーションを実施して、攻撃者がどのように環境内を移動する可能性があるかを確認し、そのギャップを埋めるためにセキュリティ制御を強化することが有効です。

攻撃経路管理がエクスポージャー管理で果たす役割についてもっと知りたい方は、「攻撃経路分析とは?」ページをご覧ください。

Other core exposure management tools:

• CTEM: A five-stage cybersecurity framework for exposure management (scoping, discovery, prioritization, validation, and mobilization) that uses asset context, threat intelligence, and real-world exploit potential to evaluate and prioritize mitigation. Learn more about CTEM on the “What is CTEM?” and “The CTEM Framework” pages.
• CAASM: Provides full visibility into internal IT, cloud, OT, IoT and hybrid assets, supporting zero-trust and least-privilege strategies. Read more on the “What is CAASM?” page.
• EAP: A platform that continuously finds and prioritizes exposures to streamline exposure management. Take a deeper dive into the “What is an exposure assessment platform (EAP)?” page.
• EASM: Identifies and monitors all external-facing assets, including domains, APIs, cloud apps, public IPs, web apps and unmanaged or shadow resources. Learn more on the “External attack surface management” page.

Exposure maturity model: Helps organizations evaluate their current exposure management capabilities, understand gaps across tools, processes, visibility, and team alignment, and prioritize steps to improve security posture and reduce risk. Read more in the “exposure management maturity model” blog.

If you’re a CIO, CISO, or security program leader, here are seven strategies to guide your exposure management journey and mature your program.

1. Begin by understanding the security and business outcomes that are possible with your exposure management program. In simple terms, this is where you define the problems you want to address and set clear, measurable goals.
2. Assess the current state of your organization’s exposure management maturity. If you’re unsure, take this quick exposure management maturity assessment.
3. Set your program’s scope and feasibility. Plan for realistic outcomes based on your available (and anticipated) resources and budget. If you’re struggling to scope your exposure management program, consider working with an exposure management vendor like Tenable, who can help you better understand the people, processes, and technologies you’ll need to reach your goals.
4. Get leadership and board buy-in. Find (or become) a champion for your program. You’ll need organizational-wide support to build your governance program, drive change, get your program off the ground, and keep the momentum going.
5. Set your core team. 小さく始める: Consider representatives from IT, security, engineering, product development, etc. Look for a mix of skills and experience, especially in those who understand business goals and risk, and can help move your program forward.
6. Break down silos. Collaborate and work across domains. Partner with key stakeholders to understand their pain points, critical assets, business processes, and other concerns. Help other teams understand how exposure management will improve the work they do and how it can help them find, understand, and manage critical exposures to protect business continuity and operational resilience.
7. Establish your governance program and select a program manager to oversee day-to-day leadership. Ensure, as your program evolves, that it delivers a quantifiable return on investment and anticipated results.

The seven strategies above are a brief overview of how you can implement preemptive security across your entire organization with unified visibility, insight, and action across security domains. By guiding these exposure management strategies, your organization will be able to actionably shrink your attack surface, prevent breaches, and reduce critical cyber risk.

詳細をお知りになりたい場合は、 Download the Tenable e-book, “Security leaders’ guide to exposure management strategy,” to get more insights and details.

1. You can’t see everything across your diverse and changing attack surface.
   • Exposure management gives you unified visibility into all your assets and exposures everywhere, from IT and the cloud to OT, IoT, Active Directory (AD), identity, AI risk, web apps, containers, Kubernetes, and microservices, third-party integrations, industrial control systems (ICS), shadow AI, hybrid environments, mobile endpoints, and beyond.
2. Your security processes are reactive.
   • Exposure management is the key to proactive security. It uses attack path analysis to see where attackers can enter and move through your network, automated threat modeling to understand what might happen during a breach, and preemptive security controls, like segmentation and zero trust, to help you minimize risk before attackers exploit your exposures.
3. You don’t know which exposures to fix first or which might actually impact your environment.
   • Exposure management gives you insight into threat and business context, exploit likelihood, and potential breach impact, so you understand your most critical exposures and where to focus remediation first.
4. You’re using specialized security tools for each domain, which silos data and limits visibility.
   • With exposure management, you can collect and consolidate asset, identity, and risk data from all your existing security tools for more insight and visibility.
5. Your security processes are slow and manual.
   • An exposure management platform can help you automate your security workflows and speed up incident response.
6. Your board and leadership struggle to understand technical security data and its potential impact on operations.
   • Exposure management aligns cyber risk with business risk so you can communicate complex cyber risk accurately at all levels, from practitioners, all the way to your board.

• Increased regulatory pressure, such as mandates for expanded security controls and disclosure of incidents that result in material impact.
• Tool sprawl and limited budgets have resulted in consolidation projects to reduce the number of vendors and expensive, disparate point tools.
• With limited staff, resource constraints, gaps in expertise, and tight labor markets, security leaders need ways to drive greater efficiencies and retain existing professionals.
• An uptick in high-profile breach headlines, ransomware attacks, and related coverage has led to a reduced risk tolerance by the board, C-suite, lines of business, and investors.
• Once-separate solutions, such as vulnerability management, EASM, and CAASM, are moving toward market convergence to address related problems. As organizations look to replace point tools with unified platforms, it’s driving some of the changes in the exposure management market.

• Proactive and automated identity and access management (IAM) capabilities will automatically grant users access to the right data for the correct task at the time they need it. While continuous verification is now a baseline, the future is self-healing identity.
• Exposure management will continue to evolve and automatically revoke over-privileged non-human permissions (AI agents and service accounts) the moment the system detects an anomaly to neutralize lateral movement without requiring human intervention.
• The next frontier is agentic asset governance. Exposure management platforms will use autonomous agents to discover new assets in real-time and proactively test their security posture to automatically apply guardrail policies as your attack surface flexes.
• エクスポージャーのマッピングの精度とスピードが向上するでしょう。 Working hand in hand with dynamic attack surface management (DASM), attack path management and mapping will update in real time, finding dependencies and exposures to limit attacker access and movement.
• Platforms will integrate advanced breach and attack simulation (BAS) to run millions of automated “what-if” scenarios to predict future attack paths.
• The attack surface will include AI model governance, where exposure management platforms monitor for data poisoning, prompt injection, and ethical drift within corporate AI ecosystems.
• Future-ready exposure management platforms will provide automated inventories of cryptographic assets to manage the transition to post-quantum cryptography (PQC) and ensure long-term data resilience.

If you’re in the market for an exposure management platform, there are three basic capabilities the platform should include:

1. Visibility to see everything across your attack surface, including relationships. Ask:
   • Does the exposure management solution support native asset discovery for IT, OT, IoT, multi-cloud, applications, AI, containers, Kubernetes, and infrastructure-as-code?
   • Can it detect all forms of risk attackers may exploit, like vulnerabilities, misconfigurations, and excessive machine and human identities?
   • Does it have data aggregation and integrations with security monitoring and IT tools, like vulnerability management, cloud-native application protection platform (CNAPP), IT/OT security, dynamic application security testing (DAST), endpoint detection and response (EDR), configuration management databases (CMDB), Service Desk, etc.?
   • Does it have a scalable, unified data lake that aggregates and normalizes asset, risk, and threat intelligence from thousands of sources?
   • Can it map technical relationships between assets, identities and risk, business relationships, or regulatory frameworks?
2. Prioritization to help you understand the difference between alert noise and business-impacting exposures
   • Does it have normalized risk scoring across all assets, including exploitability, threat intelligence, and asset criticality, to determine total asset exposure?
   • Does it have business context? Can it tag assets for easy classification and align them based on any criteria, like business function? Can it create customizable scorecards with tags?
   • Does it support custom exposure management policies for all assets and risk types, including multiple variables to find toxic combinations?
   • Does it have AI-powered insights and agentic AI security capabilities, like remediation guidance, natural language inventory searches, plain language attack path explanations, with identification of choke points?
   • Can it conduct continuous attack path analysis to map attack chains and MITRE ATT&CK Framework tactics, techniques, and procedures (TTPs) across asset classes and risk types?
   • Does it have pre-defined and custom policy definitions for control validation, including integrations with breach and attack simulation and pen testing tools to enhance testing based on attack path priority?
3. Mobilization to speed up remediation and improve communication
   • Does it automatically assign remediation ownership with metadata, and configurable criteria and tags for closed-loop remediation and SLA tracking?
   • Does it enable workflow orchestration and automation with a mix of ticketing, development, and collaboration tools across domains?
   • Does it have pre-defined, customizable, and business-aligned exposure reporting? Does it aggregate data across security tools?
   • Does it include interactive exposure dashboards with customizable widgets and tailored views for security, IT, business leaders, and compliance?
   • Can it enhance emergency response with threat intelligence, AI search, and exposure response tracking to continuously assess zero-day risk?
   • Does it support KPI tracking? Can it dynamically calculate KPIs based on customizable criteria, like SLA tracking?

The capabilities above are key to assessing the best exposure management solution. If you’d like more insight and to take a closer look at the importance of visibility, prioritization, and mobilization capabilities, download Tenable’s free exposure management buyer’s guide.

サイバーセキュリティにおけるエクスポージャー管理とは?

Cybersecurity exposure management unifies visibility, insight, and action across your entire attack surface. It gives you technical and business context to close priority exposures before they lead to a breach or material impact.

How is exposure management different from other cybersecurity disciplines?

• Exposure management discovers and aggregates asset and risk data across your attack surface and existing tools for a unified, contextual view of assets and exposure, exploitable attack paths leading to crown jewels, and potential business impact so you can prioritize remediation.
• A vulnerability management program identifies IT assets and prioritizes software vulnerabilities using industry-standard vulnerability scoring metrics, like common vulnerabilities and exposures (CVEs) from the National Vulnerability Database (NVD), such as CVSS.
• Risk-based vulnerability management identifies IT assets and enhances prioritization using risk-based scoring that factors in exploitability and asset criticality.
• EASM identifies external-facing assets and associated risks that are often an initial target of attackers.
• CAASM: Aggregates asset information from existing security tools for a centralized view of assets across your attack surface.
• Unified vulnerability management aggregates findings from existing tools for a centralized view of risk across your attack surface.

エクスポージャー管理では、どのようなツールが一般的に使用されていますか?

エクスポージャー管理で一般的に使用されるツールの一部を以下に挙げます。

• セキュリティの弱点を検出するための、継続的な脆弱性診断
• 攻撃可能な経路を発見し、関連付けるための攻撃経路分析
• Active Directory (AD) のようなシステムの設定ミスを検出するための、アイデンティティエクスポージャー評価
• クラウド環境を保護するための、クラウドセキュリティポスチャー管理
• インターネットに露呈している資産に関連するリスクを特定し、軽減するための EASM
• 脅威の評価と優先順位付けによってリスクを先行的に低減するための CTEM
• クラウドを監視、管理することで過剰なアクセスを防ぎ、アイデンティティを利用した攻撃を減らすための、クラウドインフラ権限管理 (CIEM)
• 内部および外部のすべての資産を包括的に可視化し、セキュリティギャップを特定してアタックサーフェス管理を改善するための CAASM
• ウェブアプリや API の脆弱性を発見し、SQL インジェクションやクロスサイトスクリプティング (XSS) などの攻撃を防ぐための、ウェブアプリのスキャン
• 監視制御およびデータ収集 (SCADA) デバイスや産業用制御システム (ICS) の脆弱性を検出してオペレーショナルテクノロジー環境を保護するための、OT セキュリティ
• 現在のセキュリティ態勢をリアルタイムで把握し、サイバーリスクを経時的に追跡して測定できるようにする、AI とエクスポージャー分析

エクスポージャー管理の恩恵を最も受けるのはどの業界ですか?

すべての業界がエクスポージャー管理の恩恵を受けます。 However, industries with complex and expansive attack surfaces, like finance, healthcare, energy and manufacturing could benefit significantly from exposure management. これらの業界では、機密データや重要インフラを管理しており、高度なセキュリティとコンプライアンス対策が不可欠です。

エクスポージャー管理をサイバーセキュリティフレームワークに統合する方法は?

継続的な資産検出、リスク評価、攻撃経路分析、修正プロセスの実施によって、エクスポージャー管理をサイバーセキュリティフレームワークに統合することができます。

エクスポージャー管理を実施する上で課題となるのは何ですか?

エクスポージャー管理の実施には以下のような課題があります。

• 脆弱性、設定ミス、アイデンティティ、攻撃経路を関連付けること。これがないと真のエクスポージャーを把握できません。
• 内部、外部、クラウド、OT のすべての資産を特定して管理すること。困難ですが、これがないと盲点や未知のセキュリティギャップが生じる可能性があります。
• ビジネスの文脈を踏まえてサイバーリスクを測定し、伝達するための標準化された方法がない。
• 自動化されていない。自動化なしてはエクスポージャー管理は時間がかかり、事後対応的で、リソースを大量に消費するものになります。
• 変化する業界や政府のセキュリティ義務に適応対応する必要があります。
• アタックサーフェスや攻撃手法が複雑で進化を続けていること。これは、絶えず環境を評価して更新することで事前対策型セキュリティを実現する必要があることを意味しています。
• 従来型のサイロ化されたセキュリティツール。リスクに関するインサイトを統合してエクスポージャーを一元的に可視化することは困難です。
• 文脈に基づくリスクの優先順位付けがない。これを行わなければ、セキュリティチームはアラート疲れと非効率な修正ワークフローの問題に直面することになります。
• エクスポージャー管理を実施してその恩恵を受けるための、サイバーセキュリティの専門知識やリソースの不足。

CAASM と EASM の違いは何ですか?

CAASM と EASM は似ていますが、対象範囲が異なります。 IT 資産アタックサーフェス管理は、社内環境におけるすべての資産の包括的な可視化に重点を置いています。 外部アタックサーフェス管理は、外部の脅威にさらされる可能性のある、インターネットに露呈した資産を特定して管理します。 どちらもエクスポージャー管理には欠かせません。

エクスポージャー管理は自動化できますか?

はい。Tenable One のような適切なサイバーエクスポージャー管理ソリューションがあれば、エクスポージャー管理の実施と継続的なプロセスを自動化できます。