#application-security

#application-security

Upwind's acquisition of Nyx enhances real-time threat detection and integrates deeper application monitoring into its platform.

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.

Endor Labs develops advanced AppSec agents to tackle security risks stemming from rapid AI-driven code generation.

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.

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

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

AI/ML applications introduce new security risks necessitating updates to traditional security approaches.

Traditional DAST tools are ineffective for modern API-driven applications and create issues for developers.

Hardcoded secrets in source code expose organizations to significant security risks, necessitating greater awareness and secure practices in development environments.

Endor Labs introduces AI agents for advanced security defect identification and remediation in application architecture.

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

DryRun Security has introduced Natural Language Code Policies to enhance application security policy definition for developers.

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.

Agentic AI automates tedious tasks in application security, enabling faster remediation and more secure software.

APIs are crucial in connecting LLMs and applications, presenting security risks in AI software development.

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

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.