Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Scanning AI Assets: Catching What SCA and SAST Might Miss

Your standard application security tools are designed to protect your software pipeline by checking third-party components for known vulnerabilities (via SCA), analyzing source code for security flaws (via SAST), and scanning for accidentally exposed credentials (using secret scanners). But if a developer drops a SKILL.md file into their coding agent, installs a plugin from a marketplace, or pulls in an APM manifest, your AppSec scanners may not catch it.

Your CVE is reachable. But is it exploitable?

Any SCA tool worth its salt has reachability analysis these days. When a dependency has a known vulnerability, these tools can tell you whether your code calls the affected function. This is pretty much non-negotiable because it helps teams focus their security efforts instead of sifting through noise. Every other step in prioritizing dependency CVEs builds on it. But just because the vulnerable function is reachable doesn’t mean it’s exploitable.

Zero-Day Minus the Scramble: A Better Approach to Vulnerability Risk Management

SCA tools are good at identifying vulnerabilities in your dependencies. They’re not built for the harder part of vulnerability risk management: telling you whether those vulnerabilities are actually reachable in your application, or which assets are running an affected component the moment a zero-day drops. Seemplicity’s SCA Analyst solves both problems inside a single centralized vulnerability management platform.

Best Software Composition Analysis Services: Top 8 in 2026

Software Composition Analysis (SCA) services are automated tools that scan codebases to find, identify, and manage open-source components, detecting security vulnerabilities (CVEs), licensing issues, and outdated libraries. They help teams maintain secure, compliant software by creating a software bill of materials (SBOM) and shifting security left in the development lifecycle (DevSecOps). Top providers include Mend.io, Snyk, and Checkmarx.

Fix SCA issues at scale in your terminal with Snyk Remediation Agent in the CLI

Snyk is now detecting six vulnerabilities for every one remediated. NIST reported a 33% increase in CVE submissions in Q1 2026. According to Gartner, the average time to patch a high/critical vulnerability is 55 days (Gartner, "How to Respond to the 2026-2027 Threat Landscape," 28 May 2026).

Best Software Composition Analysis (SCA) Tools: Top Solutions in 2026

Software Composition Analysis (SCA) tools expose the risks in open source dependencies by identifying vulnerabilities, outdated dependencies, and license issues in your codebase. Top solutions include Mend.io (best for automated remediation and proactive SCA), Sonatype Lifecycle (known for enterprise policy management), Snyk (known for developer experience), and Checkmarx SCA (known for comprehensive coverage).

Complete Guide to Patch-in-Place SCA Remediation

A definitive guide to how automated and human-reviewed patch-in-place remediation solves both direct and transitive open source vulnerabilities - without forcing risky upgrades. Learn why traditional tools miss transitive risk, and how to evaluate modern platforms based on SLA, provenance, and CI/CD fit.

Preventing SCA Findings From Becoming a Remediation Bottleneck

SCA tools often generate multiple CVEs for the same dependency, creating unnecessary tickets and slowing remediation. Aggregating those findings into a single fix helps AppSec teams reduce ticket sprawl and align security work with how developers actually resolve vulnerabilities.

Best Software Composition Analysis Providers: Top 5 in 2026

Major software composition analysis (SCA) providers include Mend, Black Duck (Synopsys), and Veracode. They offer solutions to find, manage, and fix vulnerabilities and license issues in open-source components, with options ranging from developer-focused tools to enterprise-grade platforms with SBOM generation and deep compliance features.