#application-security

#application-security

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

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.

DevOps faces security integration challenges due to cultural divides and mismatched tools, requiring a paradigm shift for better collaboration.

Collaboration between application and security teams is crucial for leveraging APM data in enhancing app security.

APM tools provide valuable insight into application behavior for security purposes.

Enterprise software development environments are critically vulnerable, as all organizations face high security risks.

Traditional application security approaches are ineffective against modern threats, leaving organizations exposed.

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

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.

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

Veracode enhances application security by acquiring Phylum's technology for real-time analysis of malicious packages, addressing rising supply chain attack costs.

HCLSoftware offers solutions that enhance security in cloud-native applications, emphasizing comprehensive security measures for modern IT environments.

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.

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

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

Microsoft has partnered with Endor Labs to enhance its cloud-native application security through a software composition analysis tool.

Backslash Security adds support for C, C++, Ruby, Rust, Scala, integrations with GitHub, GitLab. Detects 'phantom packages', creates workflows, enhances UI, adds access controls.

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.

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.