42Crunch vs Apiiro

About Apiiro

Apiiro offers Guardian Agent, which protects coding agents, prevents risk and AutoFixes backlogs, powered by the Apiiro Context Graph. Apiiro describes agentic development as a setting where code is written by agents, risk appears at machine speed, and offensive agents exploit vulnerabilities in seconds. Guardian Agent delivers three outcomes for CISOs and CTOs by executing actions and measuring success. On compliance, Apiiro provides automated evidence collection and policy enforcement for every feature and code change.^[1][3][4][5]

Guardian Agent actions run on the AppSec Context Graph, made up of a Software Graph and a Risk Graph, which gives every action the context of policies and software architecture from prompt to code to runtime. Patented Deep Code Analysis (DCA) and code-to-runtime matching continuously map each customer's evolving software architecture, including APIs, AI assets, PII, OSS, internal packages and their material changes. Apiiro correlates code to runtime to trace exposure paths and reachability. Apiiro governs every tool and change, human or agent, with one policy and risk engine.^[2][3][4]

Apiiro discovers, inventories and catalogs AI models, agents, MCP servers, AI datasets, 3rd-party services and everything inside codebases. Apiiro discovers and inventories the AI tools that developers and coding agents use, including IDEs, extensions, skills, plugins and MCP servers. Apiiro discovers, inventories and tracks open-source dependencies, licenses, end-of-life status, versions and vulnerabilities, and where they are used across the software architecture graph. Apiiro discovers, inventories and assesses cryptographic usage in code, including encryption, hashing, keys, secrets, certificates, algorithms and KMS implementation. Apiiro discovers, inventories and maps CI/CD pipelines, build systems, artifacts, registries, deployment flows and the software delivery paths from code to runtime. Apiiro's policy and risk engine is an open, graph-based risk engine that correlates findings from 1st/3rd-party tools, maps them to the software graph, detects toxic combinations and blast radius, and prioritizes business-specific risk. Apiiro assesses AI usage risks across code and the software supply chain, including dependencies, models, coding agents, MCP servers, skills and extensions. Apiiro continuously ingests, assesses, manages and tracks Software Bill of Materials (SBOMs) across codebases, the software supply chain (OSS) and 3rd-party applications.^[1][7]

Autonomous monitoring detects new feature tickets in Jira, GitHub and Azure DevOps and triggers threat analysis with no human in the loop.^[8]

AI-SAST shifts static analysis from a detection problem to a risk validation and fix problem. Deep Code Analysis (DCA) continuously builds a Software Graph of the software architecture across files, code modules, repositories and code owners, updated on every commit and material change. AI-SCA shifts open source security from CVE matching to risk validation and fix. Apiiro continuously detects vulnerable and malicious OSS components and risky licenses using AI-powered context from the customer's software graph and business risk. Dependency scanning runs to the leaf node, covering direct, transitive and custom-built internal dependencies. Open source coverage extends beyond CVEs to malicious packages, license conflicts and AI components.^{[5][6][7][9][10][12]}

Apiiro detects secrets in code, history, documentation and pipelines. Apiiro surfaces secrets deleted from the codebase that remain in every branch and revision of Git history. Apiiro checks every detected secret against the issuing platform, marking it valid, invalid or revoked. Guardrails block valid secrets at the pull request, before deployment. Apiiro inventories AI agents, MCP servers, GenAI frameworks, models, datasets and AI-related secrets from code on every commit. Apiiro blocks unapproved frameworks and models at the pull request. Apiiro generates audit-ready evidence for the EU AI Act, NIST AI RMF and ISO/IEC 42001 from code.^[11][12]

Apiiro maps packages, skills and plugins to their repositories, coding agents, pipelines and running containers. Apiiro's Dependency Firewall scans open-source code using Deep Code Analysis to detect and block malicious packages before installation. Apiiro inspects packages downloaded by coding agents, locally and in the cloud, across operating systems. Package policies control installations based on malware, backdoors, vulnerabilities and application risk.^[13]

AutoFix takes findings from Apiiro's own scanners, 3rd-party scanners and frontier model scans, and fixes them across the attack surface. Apiiro generates each fix in the context of the software architecture graph and organizational policies, and runs tests to prove nothing breaks. Apiiro reflects Chainguard's remediation state directly in Risk Graph, so findings Chainguard has already fixed stop showing as open. Apiiro AutoFixes OSS in first-party code based on risk and gives maintainers free AutoFix to accelerate community fixes.^{[1][2][3][5][6][7][8][9][10][14]}