What is an attack surface?
An attack surface is the sum of all potential entry points that an attacker could exploit to gain unauthorized access to a system, network, or data. The broader your IT environment, the larger your attack surface becomes, especially given the growing number of devices, identities, and tools expanding perimeters by roughly 7 to 30 percent.
Attack vectors are different: they are the specific methods attackers use to exploit those entry points, such as phishing, malware, or credential theft. Think of the attack surface as the total area you need to defend, and attack vectors as the paths attackers take through it.
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Types of attack surfaces
Organizations face three distinct categories of exposure: physical, digital, and social engineering. Each type presents unique risks and requires different mitigation strategies.
Physical attack surfaces include hardware like servers, laptops, mobile devices, and IoT equipment. Digital attack surfaces encompass software, APIs, cloud services, and network configurations. Social engineering attack surfaces target the people in your organization through manipulation and deception.
Physical attack surface
An enterprise's physical attack surface includes hardware like computers, mobile devices, external storage drives, laptops, and IoT machinery. The physical attack surface can be exploited via insider attacks, stolen equipment, poor disposal of decommissioned hardware, negligence from remote teams, and many other dangerous scenarios.
Social engineering attack surface
The social engineering attack surface specifically refers to the human element, including the susceptibility of individuals within an organization to manipulation and deception. Unlike physical and digital vulnerabilities, which often involve exploiting technical weaknesses in systems, social engineering attacks capitalize on human emotions, cognitive biases, and lack of awareness to trick users into compromising security.
Digital attack surface
Digital attack surfaces are the most complex category because cloud environments constantly change. Key components include misconfigurations, weak identity and access management (IAM), publicly exposed resources, and shadow IT, which refers to cloud services deployed without security team approval.
Common attack vectors
Attack vectors are the specific techniques attackers use to breach your defenses. Recognizing the most common methods helps you prioritize where tostrengthen controls.
| Attack Vector | Description | Threatened attack surface |
|---|---|---|
| Phishing and social engineering | Attackers manipulate individuals into divulging sensitive information or granting access to systems through deceptive emails, messages, or calls. | Endpoints, user accounts, email systems |
| Malware and ransomware | Malicious software is deployed to compromise systems, encrypt files, or exfiltrate data, often demanding ransom payments. | Cloud workloads, databases, storage systems |
| Credential theft and brute force attacks | Attackers steal or guess login credentials through phishing, keylogging, or automated brute-force attempts. | User accounts, IAM systems, cloud management consoles |
| Exploiting misconfigurations | Security flaws in cloud services, storage settings, or IAM policies leave systems vulnerable to unauthorized access. | Cloud services, storage buckets, IAM policies, databases |
| Zero-day vulnerabilities | Attackers exploit undiscovered or unpatched software vulnerabilities before a fix is available. | Operating systems, applications, cloud services |
| Man-in-the-middle (MITM) attacks | Cybercriminals intercept and manipulate data exchanged between users and services, often over unsecured networks. | Network traffic, APIs, user sessions, authentication mechanisms |
| Distributed Denial-of-Service (DDoS) attacks | Attackers flood networks or applications with traffic, causing service disruptions and downtime. | Network infrastructure, cloud services, web applications |
| API attacks | Exploiting weak or exposed APIs to access sensitive data, disrupt services, or escalate privileges. | API endpoints, cloud platforms, microservices |
| Supply chain attacks | Attackers compromise third-party software, dependencies, or CI/CD pipelines to infiltrate an organization. | Software dependencies, CI/CD pipelines, vendor integrations |
| Insider threats | Employees, contractors, or compromised accounts intentionally or unintentionally expose sensitive data or systems. | Internal systems, data repositories, privileged accounts |
| Weak or missing encryption | Data transmitted or stored without proper encryption can be intercepted or accessed by unauthorized parties. | Data in transit, data at rest, backup systems |
| Unpatched or outdated software | Systems running old versions with known vulnerabilities become easy targets for attackers. | Operating systems, applications, firmware, libraries |
What are the components of a cloud attack surface?
As businesses increasingly rely on cloud infrastructure, understanding its key components becomes essential for them to be able to identify vulnerabilities and strengthen security defenses. The cloud attack surface consists of all the entry points threat actors can exploit in a cloud environment. These points may be:
Application program interfaces (APIs)
APIs are software that act as connective tissue between multiple heterogeneous cloud applications. They're the secret to the seamlessness of cloud environments.
Unsecured and unencrypted APIs are a significant contributor to an enterprise's attack surface. One example: In 2023, an API vulnerability in Honda's e-commerce platform resulted in compromised customer data, dealer records, and other sensitive documents.
Third-party applications
Enterprises expand their attack surface by commissioning third-party applications and tools, including media players, web browsers, and collaboration tools. Unnecessary or unused software can introduce security vulnerabilities, increasing the risk of exploitation.
Rather than eliminating third-party collaboration altogether, businesses should acknowledge the inherent risks and take proactive steps to mitigate them. This includes vetting vendors for security compliance, enforcing strict access controls, and continuously monitoring third-party integrations for vulnerabilities.
Databases and storage buckets
Businesses leverage storage solutions from cloud service providers (CSPs) to warehouse their data. Although data storage is quick and convenient with these solutions, there are security implications to consider.
For instance, companies need to delineate which security responsibilities belong to them and which belong to their CSPs. Whenever businesses fail to do this, it can result in catastrophic security events. For example, misconfigured and publicly exposed storage buckets can quickly lead to a data breach.
Data
Almost all exploits of an enterprise's attack surface aim to exfiltrate data. Securing data storage containers is insufficient. The data itself needs protection to minimize the attack surface. Some common techniques to protect the data layer in an attack surface include encryption, role-based access controls (RBAC), and backups.
Containers and container management platforms
Containers and container orchestration systems like Kubernetes are becoming widespread in modern cloud-based IT environments.
The rise in container culture introduces many deeply embedded risks in infrastructure-as-code (IaC) files in Dockerfiles, Kubernetes YAML manifests, and Helm charts. Container environments bring numerous benefits but can add to an enterprise's attack surface if left unchecked.
Users
It's easy to focus on the intricacies of cloud topologies and forget who is navigating these spaces. Users or "digital identities," both human and machine, are a dynamic and high-risk component of an enterprise's attack surface.
Over-privileged access and weak passwords and credentials are some of the risks associated with users in cloud environments. Cybercriminals can leverage these risks to gain unauthorized access, move laterally within a business's IT environment, exfiltrate data, and corrupt internal systems.
Code repositories
The rise in high-octane DevOps environments has added to enterprise attack surfaces. Code repositories are potential vectors for threat actors to exploit. This could be due to security flaws, shadow code, and secret or sensitive code. It could also be because of accidentally published early-iteration code in public repositories. Wiz Research found that 61% of organizations have secrets exposed in public repositories, according to the State of Code Security Report 2025.
Furthermore, companies that haven't integrated security early in their software development life cycles (SDLCs) are likely to have a much broader attack surface to reckon with.
Artificial intelligence (AI)
AI is becoming an integral part of cloud operations, as it helps streamline and simplify processes while boosting efficiency. However, it also introduces new security risks, as AI tools, pipelines, and even shadow AI can serve as entry points for attackers, with prompt injections now considered the leading security threat aligned to LLM applications.
In June 2023, our team of researchers discovered that Microsoft unintentionally exposed 38TB of sensitive data when sharing AI research via misconfigured SAS tokens in Azure. This incident underscores the growing need for robust security measures to protect AI assets from unauthorized access and data leaks.
What is attack surface management?
Attack surface management (ASM) is the continuous process of discovering, analyzing, and reducing the entry points attackers could exploit. ASM takes an outside-in perspective, simulating how threat actors view your environment so you can prioritize defenses based on real-world exploitability rather than theoretical risk.
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Key steps in the attack surface management lifecycle
A typical attack surface management lifecycle is comprised of three steps:
1. Attack surface analysis
Complete asset inventory is the foundation of ASM. Analysis involves mapping every cloud resource that attackers could target, includingAPIs, storage buckets, third-party integrations, containers, and digital identities.
Start by cataloging your IaaS, PaaS, and SaaS services, then prioritize high-risk assets based on exposure and business impact. This visibility lets security teams close gaps before attackers discover them.
2. Attack surface monitoring
Continuous monitoring detects changes before they become exposures. Cloud environments shift constantly as new workloads spin up, APIs update, and configurations drift.
Effective monitoring combines activity logging, continuous vulnerability scanning, and risk-based alerting. Integrate these signals with SIEM, SOAR, or XDR platforms to correlate events and accelerate response. Third-party integrations also require attention, since vendor security gaps can quietly expand your exposure.
3. Attack surface reduction
Reduction eliminates unnecessary exposure and validates that remaining controls work. Key actions include:
Remove unused entry points: Decommission redundant accounts, outdated applications, and orphaned cloud resources.
Enforce least privilege: Apply zero-trust principles, MFA, and just-in-time (JIT) access to limit standing permissions.
Segment and encrypt: Use network segmentation and encryption to contain potential breaches.
Validate defenses: Run red team exercises, penetration tests, and adversary simulations to confirm controls perform as expected.
Reduction is not a one-time project. Attackers adapt continuously, so your reduction efforts must keep pace.
How Wiz can help you monitor, analyze, and reduce your attack surface
Siloed tools and legacy approaches struggle to keep pace with dynamic cloud environments. Wiz unifies attack surface management across the full lifecycle:
Agentless discovery: Automatically inventory cloud, AI, on-prem, and SaaS assets without agents or manual setup.
Graph-based context: Correlate exposures with identity, data, and configuration to prioritize what is actually exploitable.
Attack path visibility: Map how individual risks combine into real attack paths that threaten sensitive data or privileged accounts.
AI-aware coverage: Detect shadow AI deployments, exposed model endpoints, and misconfigured AI pipelines alongside traditional cloud risks.
Accelerated remediation: Route issues to the right owner with AI-guided fix recommendations to reduce mean time to remediate.
Get a demo to see how Wiz connects external exposure to internal blast radius, so your team can focus on the attack paths that actually matter.
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