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Traditional SCAs Are Broken: Did You Know You Are Missing Critical Pieces? Application Security professionals face enormous challenges securing their software supply chains, racing against time to beat the attacker to the mark.  Software Composition Analysis (SCA) tools have become a basic instrument in the application security arsenal in the last 7 years. Although essential, many platforms end up creating more mess and driving the key pain in the industry - alert fatigue, leaving your supply chain exposed to critical vulnerabilities and malicious code attacks. Fortunately, alongside the black hat hackers making their best efforts to find new attack vectors and surfaces, innovative security tools are breaking new ground, helping organizations stay secure despite emerging threats. Myrror Security 's latest resource, "Your SCA is Broken Guide - The Missing Pieces In Your Software Composition Analysis Platform," offers application security professionals a view into the tra...

Introduction The modern software supply chain represents an ever-evolving threat landscape, with each package added to the manifest introducing new attack vectors. To meet industry requirements, organizations must maintain a fast-paced development process while staying up-to-date with the latest security patches. However, in practice, developers often face a large amount of security work without clear prioritization - and miss a significant portion of the attack surface altogether. The primary issue arises from the detection and prioritization methods used by traditional Static Code Analysis (SCA) tools for vulnerabilities. These methods lack the organizational-specific context needed to make an informed scoring decision: the score, even if critical, might not  actually  be critical for an organization because its infrastructure works in a unique way - affecting the actual impact the vulnerability might have.  In other words, since these tools depend on a relatively ...

In a world where more & more organizations are adopting open-source components as foundational blocks in their application's infrastructure, it's difficult to consider traditional SCAs as complete protection mechanisms against open-source threats. Using open-source libraries saves tons of coding and debugging time, and by that - shortens the time to deliver our applications. But, as codebases become increasingly composed of open-source software, it's time to respect the entire attack surface - including attacks on the supply chain itself - when choosing an  SCA platform  to depend upon. The Impact of One Dependency When a company adds an open-source library, they are probably adding not just the library they intended to, but also many other libraries as well. This is due to the way open-source libraries are built: just like every other application on the planet, they aim for a speed of delivery and development and, as such, rely on code other people built - i.e., ot...

Security operations centers (SOCs) are under pressure from both sides: threats are growing more complex and frequent, while security budgets are no longer keeping pace. Today's security leaders are expected to reduce risk and deliver results without relying on larger teams or increased spending. At the same time, SOC inefficiencies are draining resources. Studies show that up to half of all alerts are false positives, with some reports citing false positive rates as high as 99 percent . This means highly trained analysts spend a disproportionate amount of time chasing down harmless activity, wasting effort, increasing fatigue, and raising the chance of missing real threats. In this environment, the business imperative is clear: maximize the impact of every analyst and every dollar by making security operations faster, smarter, and more focused. Enter the Agentic AI SOC Analyst The agentic AI SOC Analyst is a force multiplier that enables organizations to do more with the team an...