#application-security

#application-security

91% of organizations have experienced a software supply chain incident in the past year

Zero-day exploits and misconfigured cloud services are the most common attack vectors

Threat actors exploit entry points in open source packages to execute malicious commands and compromise applications.

Developers are cautioned to carefully evaluate open source packages to mitigate risks of supply chain attacks.

AppSec teams face increased pressure due to rapid DevSecOps adoption and the complexity introduced by generative AI, necessitating improved collaboration with development teams.

Implementing SAST best practices is vital for securing code and identifying vulnerabilities in an evolving digital landscape.

Less than 4% of software developers prioritize cybersecurity training in design.

Only 3.87 application security specialists exist per 100 developers.

Large firms can cut vulnerabilities by over 50% with secure design practices.

There's an urgent need to improve cybersecurity training amid rising cyber threats.

Engaging developers in security practices enhances overall cybersecurity by aligning security measures with their existing workflows.

Effective application security supports innovation and efficiency in development teams.

Integrating security into the development process alleviates the burden of fixing vulnerabilities later.

Collaboration between DevOps and AppSec is essential to balance speed and security.

The effectiveness of 'shift left' is hindered by the complexities of integrating security and QA into the development process.

Application and infrastructure security are becoming increasingly blurred.

DevOps now views security as a crucial part of the development process.

Banking organizations must innovate rapidly while maintaining application security to meet customer demands.

Less than half of organizations employ best DevSecOps practices despite recognition of its importance in improving application security.

A clear trend is emerging in investing in security tools and practices among DevOps teams, signaling an increasing focus on security.

Prime Security's AI-enhanced platform helps software teams ensure security during development.

The platform identifies security vulnerabilities early in the software development lifecycle.

Backslash Security adds upgrade simulation & LLM usage for DevSecOps teams, enhancing application security posture management.

A significant gap exists between what senior executives believe is happening in terms of application security improvement and the actual practices among developers.

DefectDojo's new universal parser simplifies data integration for AppSec teams, promoting better collaboration in vulnerability management.

DefectDojo secures $7 million funding to enhance application security and risk management.

The platform aggregates data and automates workflows for better vulnerability management.

Upgrading Rails enhances security and maintenance despite requiring significant refactoring effort.

Data breaches are becoming more common, with the average cost reaching $4.45 million.

Frontend application security is crucial for businesses to protect against modern-day attackers.

Application security is vital for protecting sensitive data and maintaining business operations against evolving cyber threats.

95% of organizations have critical risks in their software supply chain.

Simpler applications tend to harbor critical security vulnerabilities, especially in under-secured sectors like finance.

Larger, more complex applications get patched faster and have fewer serious vulnerabilities.

Checkmarx's report highlights the tension between leveraging generative AI benefits and establishing governance to mitigate emerging risks in enterprise application development.

Mobb Fixer provides developers with code fixes for security alerts in GitHub pull requests.

Mobb's remediation technology combines security research and traditional semantic analysis with generative AI to enhance code coverage.

Corporations rushing to implement AI overlook application security, especially in generative AI.

Securing AI involves three layers: training environment, tools for running applications, and application security on top.

Lack of attention to application security in AI deployment poses risks of data misuse and exploitation.

Cycode acquires Bearer, enhancing DevSecOps capabilities with generative AI tools for application security.

Bearer's tools for security testing integrate with Cycode's ASPM platform for better risk assessment.