GitHub Advanced Security, GitLab, Semgrep and Veracode

About GitLab

GitLab states that software teams and their agents plan, build, secure, and ship on one control plane. GitLab describes that control plane as covering unified context, orchestration, security and governance, and execution on GitLab Core. GitLab combines planning, source control, and CI/CD in one platform, and projects, releases, and code share one data plane.^[3][4]

GitLab runs four peer pillars on one foundation. Execution and Workflows covers planning, source code management, CI/CD pipelines, registry, and delivery. Security and Governance covers application security, software composition analysis, compliance management, and agent governance. Context and Data covers analytics, value stream visibility, and lifecycle context including Context Graph. Agentic Orchestration covers GitLab Duo Agent Platform: agents, agentic workflows, model choice, and extensibility. Deployment and AI inference options let customers choose where GitLab runs and which models power agents.^[2][3]

GitLab Duo Agent Platform is how GitLab orchestrates agents across the software development lifecycle. GitLab says humans stay above the loop with policy, identity, and audit. GitLab defines intelligent orchestration as teams setting intent and guardrails while agents execute within them. Policies, approvals, and scanning in GitLab apply to human and agent changes alike. GitLab supports APIs, webhooks, integrations, and Model Context Protocol (MCP) so agents and tools share context under the customer's policies. Across deployments, GitLab customers can use GitLab-managed models or self-hosted models, and reshape seats and agent usage with GitLab Flex.^[3][4]

GitLab runs scanning, policies, and approvals inside the pipeline. GitLab consolidates scanners such as SAST, SCA, Secret Detection, and DAST into one platform. Security findings from GitLab appear directly in merge requests and IDEs. GitLab built-in scans run on every push to detect insecure code during development. GitLab can run automated security scans to capture vulnerabilities before code is merged. GitLab supports ensuring that passwords and sensitive information are not in source code. GitLab can find disclosed vulnerabilities in dependent software before they reach production. GitLab can generate an SBOM automatically so that every dependency in the project is known.^[4][5][6]

GitLab can block risky packages before they enter the build. GitLab describes protecting multiple attack surfaces, including code, build, dependencies, and release artifacts, with policy-as-code and continuous governance. GitLab can block malicious packages and packages above a vulnerability severity threshold before they are fetched. GitLab can scan licenses and block packages that fall outside organization policies. GitLab isolates the build environment to block unauthorized access and malicious code execution.^[6]

GitLab offers over 60 out-of-the-box controls prebuilt into a single platform. GitLab keeps code authors, reviewers, and deployers separated by policy so that no single person or agent can develop and deploy unreviewed changes. GitLab captures every human and AI-driven change in one immutable audit trail. GitLab maps controls from every major or custom framework into a single, unified compliance view. For infrastructure, GitLab includes Infrastructure as Code static and dynamic testing to help catch vulnerabilities before they get to production. GitLab integrates Flux to support pull-based GitOps workflows. GitLab stores Terraform state files and modules and shows Terraform plan output directly in the merge request.^[4][7][8]

GitLab.com is multi-tenant SaaS, and Self-Managed runs in the customer's environment on any cloud or on premises, including air-gapped patterns. GitLab Dedicated and GitLab Dedicated for Government provide single-tenant SaaS with data residency and isolation controls. GitLab can deploy to virtual machines, Kubernetes clusters, or FaaS from multiple cloud vendors. Organizations can make one annual commitment and steer their spend across seat-based licenses and usage-based credits.^[3][4][9]

GitLab provides building blocks to support compliance, certification, and standards programs for functional safety, code quality, and other requirements: ISO 26262, MISRA, IEC 61508. GitLab describes integrating virtual and physical hardware testing into automated CI. GitLab describes self-hosted and BYOM options that keep code and data inside the customer's boundary. GitLab describes shift-left policies, remediation, and release evidence that help engineer processes for DO-178C.^{[2][3][9][10][11][12][13]}

About Semgrep

Semgrep sells an application security platform that unifies SAST, SCA, secrets scanning, and malware protection. Semgrep says its platform catches, flags, and fixes real vulnerabilities before they ship. Semgrep says findings are triaged automatically using code context, patterns, and prior decisions. Semgrep says human triage decisions create reusable memories that suppress repeat false positives automatically.^[1]

Semgrep says teams can automate, manage, and enforce code standards across an organization for code, supply chain, and secrets. Semgrep integrates with GitHub, GitLab, and other source code management and continuous integration tools. Semgrep says teams can deploy scans across hundreds or thousands of repos with just a few clicks. Semgrep says teams control which detected issues are monitored by security, which notify developers in their workflow, and which block merges of critical bugs. Semgrep says Managed Scans run on Semgrep's cloud infrastructure, which scans repos in minutes, not hours. Semgrep says diff-aware scans let teams focus on issues in current changes, not ones accumulated from the past.^[8]

Semgrep announced that all Semgrep Code scans use Pro Engine, which brings cross-function analysis and Pro-only languages. Semgrep says cross-file analysis remains optional because of its potential impact on scan speeds. Semgrep says it detects complex issues like IDORs, broken authorization, and multi-step logic flaws. Semgrep shows code for dataflow traces no matter how many files a trace spans.^[9][10]

Semgrep says 24/7 on-call security monitoring triggers incident-specific scans within minutes of an open-source package compromise. Semgrep says Semgrep rapidly identifies blast radius and notifies impacted customers via dashboard, Slack or API. When Semgrep's Security Research team declares an incident, Supply Chain checks the account's SBOM and sends a Slack alert to configured channels. Semgrep Malware Firewall runs silently on developer machines, intercepting network requests to any public registry and blocking malicious and compromised open-source packages from reaching your environment. Semgrep says malware findings can be linked to automated workflows, including blocking commits, notifying sec-ops, and re-scanning to confirm malicious dependency removal. Semgrep says dedicated in-house support and security research teams monitor for incidents and provide response guidance.^[8][11][12]

Semgrep says coding agents install malicious packages, hardcode secrets, and write vulnerable patterns, and that Guardian stops each one at generation time. Semgrep says Guardian's firewall blocks malware before install, at the network layer. Semgrep says Guardian catches credentials before they're committed and sets environment variables automatically. Semgrep's MCP server exposes Semgrep's scanning capabilities as tools the agent can call directly. Semgrep says Hooks fire on every file write.^[13]

Semgrep says pre-built Agentic Workflows hunt for authentication, injection, and logic flaws, covering 70+ CWEs. Semgrep says Agentic Workflows apply static analysis tools such as Semgrep Pro Engine and Pro rules. Semgrep says Agentic Workflows use frontier AI models such as Claude Opus for reasoning about exploitability. Semgrep says Agentic Workflows can dynamically test code to confirm a vulnerability is exploitable. Semgrep says Agentic Workflows generate PRs that reference impact, context, and validation.^[14]

Semgrep Assistant offers autofix, autotriage, and component tagging, which users can run on selected findings. Semgrep says it generates tailored remediation and upgrade guidance directly in PRs and IDEs. Semgrep says step-by-step guidance from Semgrep Assistant removes 90% of remediation effort. Semgrep works with CLI, CI/CD, and IDEs including VS Code and JetBrains. Semgrep runs PR checks in GitHub, GitLab, Bitbucket, and Azure. Semgrep offers MCP integrations for AI tools like Cursor and Replit. Semgrep has reporting capabilities covering the production backlog, developer engagement levels, and overall security posture. Semgrep users can filter to see only issues associated with a subset of projects.^{[1][8][13][15][16][17][18]}

About Veracode

Veracode sells an Application Risk Management Platform that identifies risks across the software development lifecycle, automates flaw fixes, and simplifies governance and compliance. Veracode says it identifies and resolves application risks with decades of expertise and AI-driven insights. Veracode combines decades of security research, proprietary data, and AI-driven analysis to give enterprises a clearer view of application risk from code to runtime. Veracode describes the platform as a suite of application risk management tools purposely built to reduce risk, catch vulnerabilities early, and empower developers to deliver secure code across the SDLC.^[3]

Veracode Application Risk Management (ASPM) centralizes risk data across code, containers, and cloud. Application Security Posture Management prioritizes vulnerabilities and pinpoints the owner and root cause of each security issue. Veracode's Application Risk Management platform is described as helping quantify technical risks in business terms. Veracode consolidates scanning data (SAST, DAST, SCA) into a single source of truth. Over 100 languages and frameworks are supported to secure the SDLC.^{[3][5][11][12]}

Veracode's Static Application Security Testing (SAST) scans over 100 languages and frameworks in real time within IDEs and CI/CD pipelines. Static analysis can scan first-party source code alongside third-party or proprietary code when source is not available. Static analysis supports full program analysis for applications up to 5GB of code. The static analysis engine aligns its findings with the Common Weakness Enumeration (CWE) standard. Dynamic application security testing identifies and addresses runtime vulnerabilities in web apps and APIs through simulated attacks. Dynamic scans can be automated or scheduled to match release frequency, compliance, and policy needs. Dynamic scans can cover hundreds of assets across environments, including those behind a firewall. Resola used Veracode Dynamic Analysis for faster scans, improved security, and boosted customer trust. The platform automates open-source security scans, identifies new vulnerabilities, and manages license risks. SAST, DAST, SCA, IaC, and container scans are integrated into IDEs.^{[1][3][5][11][13][15]}

Veracode Container is included with the Veracode CLI, which is available on Windows, Linux, and MacOS. Container scanning inspects and corrects container images and Infrastructure as Code files. Tools for scanning containers and Infrastructure as Code cover vulnerabilities, misconfigurations and embedded secrets. The platform is described as proactively stopping vulnerabilities, malware, and policy violations before they reach development pipelines. Insights for security teams are curated by the Veracode Threat Research team and delivered via a proprietary threat feed. SBOMs can be created and managed, alongside third-party reviews and detailed reporting for compliance and stakeholder satisfaction. Veracode acquired Phylum, Inc technology for enhanced software composition analysis.^{[1][3][6][7][8][11]}

Veracode Fix brings AI-powered remediation to the code written in-house and the open-source libraries it depends on. Veracode Fix integrates into the IDE, CLI, or CI/CD tool, with interactive and batch modes. Developers get fix guidance directly in the IDE, CLI, and CI/CD, with quality gates. Fix suggestions are described as covering, on average, over 70% of detected flaws across 10 supported languages. Pull requests for open-source dependency fixes include version rationale, impacted components, and supporting references. Veracode Fix includes a configurable GitHub Action that scans and suggests on Pull and Merge in GitHub.^[15]

Security teams get unified visibility across code, dependencies, containers, and runtime signals. Developers get remediation guidance and AI-driven fixes inside the tools they already use. The platform gives governance, reporting, and policy control to support compliance and prove progress. eLearning and Security Labs provide hands-on training to build secure coding skills.^[11]

Veracode says its compliance and reporting capabilities help meet healthcare regulations like HIPAA and GDPR. Veracode says its AppSec solutions safeguard energy systems and smart grids. Veracode says its on-demand application security testing solution allows financial institutions to meet GLBA compliance as part of their overall security program. Manhattan Associates is described as automating appsec across its development environment. HDI Global SE is described as making its security innovation initiative a measurable reality. Cox Automotive is described as boosting time to market.^{[1][3][8][12][16][17]}