Vulnerability scanning allows organizations to identify and address security weaknesses before attackers can exploit them. This proactive approach helps in preventing potential security breaches, reducing the risk of data loss, financial damage, and reputational harm.
Compliance and Regulatory Requirements
Vulnerability scanning helps organizations achieve data and software security, to better align with compliance frameworks
such as SOC 2, ISO 27001, and NIST 800-53.
Cost savings
Identifying and remedying vulnerabilities early can significantly reduce the costs associated with a security breach. The financial implications of a breach often extend beyond immediate remediation efforts to include legal fees, fines, and lost business. Regular scanning helps organizations allocate resources more efficiently by prioritizing vulnerabilities based on their severity.
Asset Visibility and Management
Vulnerability scanning provides an inventory of all devices and software on a network, offering valuable insights into the security posture of an organization's digital assets. This visibility is crucial for effective asset management, ensuring that all parts of the IT infrastructure are up-to-date and secure.
Improved security posture
Regular scanning enables organizations to continuously assess and improve their security posture. By identifying and tracking vulnerabilities over time, organizations can measure the effectiveness of their security strategies and make informed decisions about where to invest in security improvements.
Agentless scanning solutions typically have quicker setup and deployment and require less maintenance. They can scan all workloads using cloud native APIs and connects to customer environments with a single org-level connector. If the approach is agent-based, this type of deployment will require ongoing agent installation, update, and maintenance effort.
スキャンツールは、目的のパラメータに従ってスキャンするように設定する必要があります。 構成の詳細には、ターゲット IP アドレスまたはドメイン名の指定、スキャンの強度または速度の設定、スキャン手法の定義が含まれます。
プロのヒント
No organization should resort to using default policy configurations. This is because default policy configurations rarely address an organization’s nuanced business-, region-, and industry-specific requirements.
Scanning Virtual Machine images and Container images for vulnerabilities and secrets during the CI/CD pipeline can help increase efficiency in the software development process by detecting vulnerabilities and security risks before deployment to the runtime environment.
Vulnerability scanning requires significant network bandwidth and computing resources. Production (in the IT environment) is also resource intensive. When both processes share resources provided by the organization’s infrastructure, resource contention occurs, and can negatively impact the scan's efficiency.
False positives
The vulnerability scanning tool could incorrectly identify a non-existent vulnerability, wasting time and effort. For instance, a developer could be patching a dependency in the source code, and the tool might alert that malicious activity is taking place. Misconfiguring the vulnerability scanner usually leads to these kinds of false positives.
Alert Fatigue
Vulnerability scanning generates quintillions of alerts, making it overwhelming for the security team to painstakingly track and address each alert, and that can lead to neglecting critical vulnerabilities.
Siloed tooling
Using vulnerability scanning tools with other security solutions across different environments or departments can create data silos and distort vulnerability management. That can hinder collaboration and make it difficult to have an end-to-end view of the organization's security posture.
Inability to contextualize vulnerability impact
Vulnerability scanning tools may be ineffective for risk management as they’re often ignorant of asset criticality, business processes, and system dependencies. They also likely won’t understand the impact of vulnerabilities across individual organizations.
High ownership costs
Vulnerability scanning tools and the associated infrastructure can be expensive to procure, deploy, and maintain. Organizations may also need to invest in staff training and dedicated personnel employment. All of that translates to increased costs.
Ongoing maintenance efforts
Some vulnerability scanning solutions require agents to be installed on target systems for continuous scanning. Managing the installation, updates, and maintenance of these agents across many systems can be challenging and time consuming.
Blind spots
This occurs when vulnerabilities in certain assets are missed during scanning, and may be caused by a tool’s inability to detect vulnerabilities on specific asset types, such as cloud infrastructure, mobile devices, or IoT devices.
Software development delays
Traditional vulnerability scanning practices require extensive scans and manual verification, causing delays in the development of applications and the release of software updates. These kinds of delays ultimately hurt an organization’s bottom line.
It's important to be able to scan virtual machines or containers even if the workload is offline. Security teams can remediate the vulnerability before the workload is online and effectively at risk.
But with an agent-based scanner, since an agent is part of the runtime of the workload, the scanning can only happen while the workload is online. This also applies for authenticated scanning, which means you can test applications in their ready-to-run configuration both in staging and production environments.
The cloud poses unique challenges that traditional vulnerability management solutions may struggle to address. Cloud vulnerability management is a proactive security solution that can keep up with the speed and scale of the cloud.
Traditional scanning tools were able to identify and remediate vulnerabilities but often flagged vulnerabilities that were non-critical and irrelevant. Furthermore, traditional vulnerability management had a significant deficiency: context.
このツールは、SIEM(Security Information and Event Management)、ログ管理、SCM(Security Configuration Management)のツールとシームレスに統合して、脅威の検出と インシデント対応、およびまとまりのあるセキュリティ管理を提供します。
Vulnerability prioritization is the practice of assessing and ranking identified security vulnerabilities based on critical factors such as severity, potential impact, exploitability, and business context. This ranking helps security experts and executives avoid alert fatigue to focus remediation efforts on the most critical vulnerabilities.
Application security posture management entails continuously assessing applications for threats, risks, and vulnerabilities throughout the software development lifecycle (SDLC).
AI risk management is a set of tools and practices for assessing and securing artificial intelligence environments. Because of the non-deterministic, fast-evolving, and deep-tech nature of AI, effective AI risk management and SecOps requires more than just reactive measures.
SAST (Static Application Security Testing) analyzes custom source code to identify potential security vulnerabilities, while SCA (Software Composition Analysis) focuses on assessing third-party and open source components for known vulnerabilities and license compliance.
Static Application Security Testing (SAST) is a method of identifying security vulnerabilities in an application's source code, bytecode, or binary code before the software is deployed or executed.