Why Traditional Application Security Isn't Enough Anymore
Application security has historically relied on a set of tried-and-tested practices: static code analysis, penetration testing, authentication and authorization controls, firewalling, and network segmentation. These methods, once sufficient to protect web apps and APIs from common threats, now struggle to address the rapidly advancing risk landscape. A dramatic shift has occurred in how applications are built, deployed, and consumed—driven by cloud-native development, open source dependency usage, containerization, and continuous integration/continuous deployment (CI/CD) automation. Enterprises must adapt to this landscape, recognizing that traditional application security alone is no longer adequate.
AI and Machine Learning in Supply Chain Security: Opportunities and Risks
Software supply chain security remains a top priority for organizations racing to safeguard their CI/CD pipelines, container images, open source dependencies, and proprietary code. While traditional security controls provide vital first lines of defense, a new wave of innovation is reshaping how teams detect, respond to, and mitigate threats: Artificial Intelligence (AI) and Machine Learning (ML). This blog post examines how AI and ML are transforming supply chain security, exploring both opportunities and risks, and provides actionable guidance for engineering leaders, DevOps teams, and security professionals.
The Future of Software Supply Chain Security: 2025 Predictions and Beyond
As digital transformation accelerates across industries, software supply chain security has emerged as a fundamental concern for every organization relying on third-party software, open-source dependencies, and continuous integration and deployment (CI/CD) pipelines. The landmark vulnerabilities of recent years—such as SolarWinds and Log4j—have underscored the urgent need for proactive, holistic approaches to securing software delivery from source to production. With 2025 on the horizon, how will software supply chain security evolve, and what strategies should security professionals, DevOps engineers, and technology leaders adopt to stay ahead?
Build vs. Buy: Should You Develop In-House Supply Chain Security Solutions?
As software development’s velocity accelerates, enterprises and technology leaders face an urgent question: how best to safeguard their software supply chains? With high-profile supply chain attacks making headlines and new regulatory requirements (such as executive orders, mandates for SBOMs, and SLSA-level attestations) pushing organizations towards compliance, CTOs and engineering managers must decide: should they build their own supply chain security solution or purchase an existing platform?
This post dives into the technical, operational, and business considerations behind “build vs. buy” for software supply chain security. We’ll evaluate key factors including cost, time-to-market, compliance, customization, and ongoing risk management, illustrated with real-world insights and references to leading industry standards. Whether you’re defending enterprise applications or SaaS products, these guidelines will help ROI calculations and set your security team up for success.
Software Supply Chain Security Tools Comparison: Features, Pricing, and Use Cases
Securing the software supply chain has become a critical priority for organizations of all sizes. With the rise of supply chain attacks, such as SolarWinds and dependency confusion, engineering leaders and security professionals are under pressure to adopt robust tooling for vulnerability management, SBOM generation, compliance, and CI/CD pipeline protection. This post offers a comprehensive comparison of leading software supply chain security solutions, detailing their features, pricing models, and ideal use cases, helping you make an informed decision for your enterprise DevOps environment.
Provenance Attestation: Verifying Software Authenticity at Scale
Introduction
Modern enterprise development pipelines rely on a complex web of open source libraries, third-party components, CI/CD automation, and cloud-native deployment strategies. As these pipelines grow more distributed, the challenge of ensuring software authenticity and integrity becomes even more acute, elevating the importance of provenance attestation for security teams, DevOps engineers, and compliance stakeholders. Provenance attestation provides a structured, auditable approach for verifying the origin, build processes, and modification history of software artifacts, enabling organizations to mitigate supply chain risks proactively.
Supply Chain Attacks in 2025: Real-World Case Studies and Lessons Learned
The rapid evolution of software supply chains has brought immense benefits for speed, scalability, and innovation. Yet, this transformation has also made enterprises more vulnerable to an increasingly sophisticated set of supply chain security threats. In 2025, new attack vectors targeting the software supply chain have dominated headlines and forced organizations to rethink their security postures. This post highlights several of this year’s most impactful supply chain attacks, analyzes the root causes, and provides actionable lessons for DevOps, security professionals, and engineering leaders aiming to elevate their defenses.