RapidFort supports the PTCA by informing decisions on adversary behavior, consulting on regulation and emerging technology, and securing federal networks with 30,000+ near-zero CVE container images.
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Read the latest cybersecurity news and musings from the RapidFort team.
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GitHub Actions workflows are a frequent target when misconfigurations enable untrusted pull request code execution, unsafe comment triggers, or shell injection via event fields. This guide explains the highest-risk patterns to audit and shares RapidFort’s open-source org-wide GitHub Actions security audit tool to assess repositories at scale and prioritize remediation.
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Explore the critical security challenges facing fintech platforms in 2026, specifically the risks posed by unused software in containerized environments. RapidFort’s Software Attack Surface Management (SASM) platform empowers fintech security teams to move beyond static reporting by utilizing Runtime Bill of Materials (RBOM) and Curated Near-Zero CVE Images. By focusing on execution-aware security, organizations can reduce their software attack surface by up to 90% and CVEs by up to 95% without modifying source code, ensuring defensible compliance for frameworks like PCI DSS v4.0 and SOC 2.
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AI is now accelerating every phase of the attack lifecycle – not just vulnerability discovery. Recent nation-state activity shows exploit creation, reconnaissance, and lateral movement all becoming automated. This post explores what changed, why it matters, and the practical steps defenders can take now.

Explore how the Shai-Hulud super-worm exploits developer trust in the npm ecosystem and why traditional scanners fail. Learn RapidFort’s proactive defense strategy—Curated Near-Zero CVE Images, automated 95% CVE remediation, and compliance acceleration—to build a resilient digital immune system against modern supply chain threats.
RapidFort helps organizations win the AI-driven cyber battle with secure-by-design containers, automated remediation, and continuous runtime defense. The AI-Driven Shift in the Security LandscapeIn the past year, we’ve seen countless reports highlighting both the promise and the perils of AI in software development. While AI is driving unprecedented innovation, it is also enabling new classes of threats in the software supply chain.We are in the middle of a cat-and-mouse game:On one side, innovative companies are using AI to preemptively prevent exposures, detect anomalies faster, and harden the software development lifecycle from end to end.On the other side, bad actors are leveraging AI to scan for and exploit vulnerabilities in both first-party and third-party code, container images, and open-source components — often at a scale and speed never seen before.The Open Source & Container RealityContainerized applications and open-source components are becoming the backbone of modern software delivery. This approach brings efficiency, portability, and scalability — enabling teams to build complex applications faster.However, this also means that vulnerabilities in shared images, dependencies, and registries can be replicated across countless deployments, expanding the attack surface dramatically.How Do We Stay Ahead of Bad Actors?The key lies in combining secure-by-design principles with continuous, automated protection throughout the application lifecycle.1. Start with a Clean CanvasAdopt a shift-left, secure-by-design methodology — one that begins with a foundation free of known vulnerabilities. This means leveraging pre-hardened, near-zero CVE “golden images” to drastically reduce the need for reactive patching.While this is a powerful starting point, it is only one piece of the puzzle. Developers must also plan for newly discovered CVEs, shifting compliance requirements, and emerging threat vectors.2. Continuously Remediate & MonitorSecurity is not a one-time event. Implement tested, proven solutions that automatically remediate new vulnerabilities as they arise — without requiring disruptive code changes. Pair this with runtime monitoring & defending to continuously reduce attack surfaces and monitor for new CVEs.3. Fortify Your ApplicationsGo beyond patching and scanning. Deploy advanced technologies that analyze, profile, and harden workloads to shrink the attack surface by up to 90%. Combine this with continuous benchmarking and reporting to maintain compliance with frameworks like FedRAMP, CMMC, and STIG.The Bottom LineAI has become both a weapon and a shield in the battle for software supply chain security. The organizations that will win are those that embrace secure-by-design foundations and continuously adapt their defenses to match the pace of AI-enabled threats.In this high-stakes game, standing still is not an option — and the side with better tools, better intelligence, and better automation will always have the advantage.
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