#devsecops

#devsecops

Over a third of code contains vulnerabilities, with an average of 55.5 security vulnerabilities each day per organization.

Organizations address only a fraction of vulnerabilities monthly due to limited resources and lengthy remediation phases.

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

Hybrid cloud and container technologies enhance collaboration and innovation, but they require updated cybersecurity practices to combat new threats.

Cybersecurity teams will adopt a proactive approach using AI to improve security during the application development process.

AWS introduces declarative policies to enhance cybersecurity and reduce DevSecOps friction.

DevSecOps teams on GitHub often utilize insecure workflows, including untrusted input, code execution, and artifacts. 3rd party actions pose risks due to limited cybersecurity expertise.

ActiveState remains dedicated to assisting enterprises with open source management, emphasizing the need for secure and compliant practices in software development.

ASPM strengthens security in CI/CD, bridging the gap between DevSecOps theory and practice.

Symbiotic Security empowers developers to identify and fix code vulnerabilities in real-time, enhancing security during the development process.

OpenText and Secure Code Warrior simplify learning for developers on DevSecOps best practices and streamline security training access.

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.

AI enhances DevSecOps workflows by streamlining tasks, boosting productivity, and improving security measures.

Implement necessary guardrails to ensure secure AI usage in DevSecOps practices.

Monitoring the impact of AI allows teams to adjust strategies for optimal efficiencies.

AI is reshaping software development, including responsible use, best practices for deploying AI models, and leveraging AI in DevSecOps workflows.

GitLab's Global DevSecOps Report reveals disparity between executive speed perception and AI adoption in software development.

DevSecOps aims to blend the speed of DevOps with robust security measures, but organizations face challenges with overwhelming reported vulnerabilities and slow progress.

Businesses face a surge in software security supply chain attacks, leading to the adoption of CodeOps for improved efficiency and security in software development.

DevSecOps integrates security throughout the DevOps pipeline, ensuring robust protection and regulatory compliance from the beginning of the software development lifecycle.

Checkmarx enhances software supply chain security with new Repository Health and Secrets Detection tools, part of the Checkmarx One platform.

GitGuardian has partnered with CyberArk to streamline secrets detection and management by integrating their platforms.

CyberArk Conjur Cloud is now integrated with HasMySecretLeaked to cross-reference secrets against a private database of exposed secrets.

GitLab Duo Enterprise offers AI tools enhancing the software development lifecycle, promoting faster and secure software delivery.

AI is widely used in coding, but security concerns about generated code are significant among developers.

Investing in AI requires careful governance strategies to protect sensitive data.

Most organizations recognize challenges of AI but lack confidence in their security measures.

Harness introduces AI agents to automate DevOps tasks, reducing manual workloads and burnout for software engineers.

New tools and modules improve efficiency and compliance across the DevOps toolchain.

The security of software supply chains and CI/CD pipelines is crucial in modern software delivery processes.

Identifying and rectifying CI/CD security anti-patterns is vital to protect against potential breaches and attacks.

DevOps emphasizes rapid, high-quality service delivery.

DevSecOps integrates security into the software delivery process to combat supply chain attacks.

Shift Left emphasizes early testing and security integration.

No Shift strategy advocates for development and testing directly in production, leveraging advanced technologies.

DevOps initiatives are essential for IT organizations, with most organizations recognizing its importance in software development.

DevSecOps is a popular variant of DevOps, focusing on integrating security practices throughout the software development lifecycle.

OpenTofu 1.7.0 introduces end-to-end state encryption for enhanced security in DevOps and DevSecOps operations.

JFrog and GitHub launched a unified dashboard for improved vulnerability tracking and compliance in DevSecOps workflows.

JFrog integrates with Qwak for DevSecOps collaboration

MLOps platforms streamline AI model building

Security should be a top priority from the start to prevent breaches and losses.

DevSecOps integrates security early in the SDLC to address risks promptly.

The mix of security tools in DevSecOps can create discord due to redundant alerts and lack of context.

Prioritizing vulnerability backlog based on impact is crucial for improving security posture.

Diffblue has integrated its automated unit testing platform for Java with GitLab's DevSecOps platform to streamline regression testing and improve application quality and security.

Diffblue's AI-based platform can update tests 250 times faster than manual testing, reducing friction and bottlenecks in DevSecOps teams.

DevSecOps integrates security into all phases of software development, enhancing security, productivity, and quality.

Learn about DevSecOps principles and GitLab's integration for streamlined development processes.

Organizations prioritize investments in AI, security, and automation, focusing on software supply chain security.

SaaS principles can guide enterprise devsecops for enhanced application reliability, scalability, and security.

Logging is vital for DevSecOps success. AI assists in handling the overwhelming volume of log data and provides continuous monitoring and insights for proactive issue resolution.

Datadog enhancing DevSecOps workflows with new tools and capabilities.