#application-security

#application-security

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.

DryRun Security raised $8.7 million to enhance application security with AI-driven Natural Language Code Policies.

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.

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.

Cycode improves SAST accuracy, reducing false positives for better trust among developers.

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

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

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

Aptori's AI-driven AppSec Platform uses advanced semantic reasoning to enhance application security by identifying and remediating vulnerabilities in real-time.

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

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

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.

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.