DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Curious about the future of data-driven systems? Join our Data Engineering roundtable and learn how to build scalable data platforms.

Data Engineering: The industry has come a long way from organizing unstructured data to adopting today's modern data pipelines. See how.

Threat Detection: Learn core practices for managing security risks and vulnerabilities in your organization — don't regret those threats!

Managing API integrations: Assess your use case and needs — plus learn patterns for the design, build, and maintenance of your integrations.

Related

  • Inside the World of Data Centers
  • Will GenAI Force Coders to Switch Careers?
  • Building an IoT-based Waste Management System: A Software Architect's Guide
  • MLOps in Software-Defined Vehicles: A Centralized Platform Approach

Trending

  • Boosting Efficiency: Implementing Natural Language Processing With AWS RDS Using CloudFormation
  • 12 Expert Tips for Secure Cloud Deployments
  • Leveraging Event-Driven Data Mesh Architecture With AWS for Modern Data Challenges
  • From Code to Insight: Using NLP and Sentiment Analysis in Git History
  1. DZone
  2. Software Design and Architecture
  3. Security
  4. Ensure Software Security by Understanding the Attack Surface

Ensure Software Security by Understanding the Attack Surface

By 
Sanjay Zalavadia user avatar
Sanjay Zalavadia
·
Jun. 20, 15 · Opinion
Likes (0)
Comment
Save
Tweet
Share
1.0K Views

Join the DZone community and get the full member experience.

Join For Free

For many organizations, it seems like cyberattacks can come from anywhere, at any time. This sense is heightened by the number of endpoints in play that could be vulnerable to threats. Quality assurance teams must ensure that they have the data on hand to keep these risks at bay. By gathering information on current dangers, companies can better understand the attack surface and establish safeguards.

Breaking down elements in play
The attack surface contains all possible vulnerabilities - known and unknown - that may exist across your infrastructure, and sums up your risk of exposure. While the attack surface may seem like one big scary entity, it's actually made up of several parts. Tripwire broke considerations down into software, network and human attack surfaces to make this large picture easier to manage. QA professionals should approach the attack surface this way in order to ensure that all aspects are accommodated for rather than being overwhelmed by the big picture. Everything from coding to devices and human error must be considered when gathering information and preparing for potential threats.

Analyze data and act on it
Testing results can be a critical indicator of what types of vulnerabilities may be present within a program. The Open Web Application Security Project noted that an attack surface analysis will help QA and developers better understand what they're up against and build in security accordingly. During this evaluation, they must determine high risk areas of code, what functions should be reviewed for defects and when the attack surface has changed. This last consideration will be especially critical as further tests and adjustments will be needed to secure the software.

Anything that an organization does could affect the attack surface, which means that it will have to be constantly monitored. QA teams need to ask what's changed, how it's different from before and what potential holes were opened in the process. This will help keep the attack surface visibly mapped out, making it easy to strategize how to protect the business, its employees and customers.

Reduce the noise
While a breach is certainly possible, that doesn't mean it should be easy for attackers to gain entry into business systems. Organizations can reduce their attack surface by decreasing the amount of noise within their infrastructure. Accuvant pointed out that doing this will reduce an attack's operating surface, minimizing the likelihood of malicious access. QA teams can use tactics like configuration management, exploit analysis, patching, sandboxing and secure application development to effectively reduce or eliminate the impact of a vulnerability.

"Integrating these strategies into your security program make it much harder for exploits to attack your organization's systems," Accuvant stated. "By reducing your adversaries' operating surface, you are effectively limiting their attack surface."

The threat of a vulnerability is a very real concern for businesses. By gathering information on what types of attacks are becoming prevalent and understanding how they can affect company software, QA teams can prepare for these risks and protect their users from the growing attack surface.

Software

Opinions expressed by DZone contributors are their own.

Related

  • Inside the World of Data Centers
  • Will GenAI Force Coders to Switch Careers?
  • Building an IoT-based Waste Management System: A Software Architect's Guide
  • MLOps in Software-Defined Vehicles: A Centralized Platform Approach

Partner Resources


Comments

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends: