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Mend.io

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www.mend.io

Integrated security platform protecting AI-enabled software from code to deployment.

Overview

Mend.io provides an integrated security platform that helps organizations secure AI-enabled software and the broader codebase. It combines AI-powered risk analytics, policy-driven governance, and broad coverage across code security, software supply chain security, and compliance. This enables developers, security teams, and product stakeholders to detect and remediate risks, enforce policies, and maintain auditable records across the full software lifecycle, including open-source dependencies and AI components.

Mission statement

To secure AI-enabled software across its lifecycle with safe, compliant, and auditable security spanning code, dependencies, and AI components.

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What we offer

Mend AI

Enhance Security for AI-Enabled Software with Comprehensive Risk Management.

www.mend.io/mend-ai/

Mend AppSec

Enhance application security with AI-driven risk management and remediation.

www.mend.io/mend-platform/

Mend Renovate

Automate Dependency Updates At Scale To Reduce Risk By Up To 70%

www.mend.io/mend-renovate/

Mend SCA

Mend SCA helps organizations secure open source dependencies and container images effectively.

www.mend.io/sca/

Market segments

Market size by segment

Growth potential (CAGR)

AI security

12.01 Billion USD19.1% CAGR

Capabilities to test, harden, govern, and monitor AI models and LLM interactions, including red teaming, runtime guardrails, prompt hardening, and policy enforcement.

Application security testing

14.12 Billion USD14.5% CAGR

Static and dynamic application testing integrated into CI/CD and the SDLC to find code and runtime vulnerabilities, provide real‑time code security analysis, and automate security testing and governance.

Supply chain security

2.52 Billion USD12.6% CAGR

Monitoring and protecting CI/CD pipelines, dependencies, containers, and development workflows to prevent supply-chain attacks, detect secrets leakage, and enforce compliance.

Open source dependency governance

1.2 Billion USD20% CAGR

Inventory, policy enforcement and developer guidance to manage open‑source risk, prioritize remediation and automate dependency updates.

More information about our offering

Mend AI

Mend AI is a platform that secures AI-enabled software across the AI stack. It ensures how AI behaves rather than just what it is built from, with capabilities for AI red teaming, runtime guardrails, system prompt hardening, and policy governance to help teams detect and remediate AI-related security risks.

  • Automate Adversarial Testing
    Mend AI streamlines the process of testing AI interactions to uncover vulnerabilities, ensuring robustness against sophisticated attacks.
  • Establish Runtime Guardrails
    Mend AI offers real-time protection measures to ensure AI behaves as intended during operation, minimizing risk exposure.
  • Enforce Policies Effectively
    With automated governance, teams can maintain compliance and security standards, reducing risks associated with AI deployments.
  • Harden System Prompts
    By evaluating prompts for security, Mend AI minimizes the risk of malicious inputs that could compromise AI integrity.

Mend AppSec

Mend AppSec provides comprehensive application security across the code layer, open source, and runtime. It includes AI-powered risk triage and remediation, and covers Mend SCA, Mend SAST, Mend DAST, API security, open source security, and compliance, with native repo integrations to GitHub, GitLab, Bitbucket and Azure.

  • Utilize AI for Risk Management
    Leverage advanced AI capabilities to analyze risks throughout the application lifecycle, tailoring responses based on real-time data.
  • Manage Open Source Vulnerabilities
    Automatically identifies and assists with remediating known vulnerabilities in open source components, improving software integrity.
  • Identify Risks Early
    Static application security testing identifies vulnerabilities in the code before deployment, lending proactive security management.
  • Implement Real-Time Protection
    This feature helps enforce security protocols during LLM interactions, safeguarding against potential breaches in real-time.
  • Generate Automated Fixes
    Automated suggestions for fixes improve response speed to vulnerabilities while still allowing human review, enhancing team efficiency.
  • Integrate Seamlessly with Repositories
    Native integrations streamline the workflow, enabling easy adoption of security measures within the development environment.
  • Strengthen User Prompts
    This feature enhances security against prompt injections, ensuring the integrity of AI interactions.
  • Automate Adversarial Testing
    This feature allows teams to simulate real-world attacks on AI systems, identifying vulnerabilities before they can be exploited in production.
  • Conduct Comprehensive Code Scans
    This ensures that vulnerabilities are detected in any code repository, offering broad coverage regardless of the programming language used.
  • Test Live Applications
    Dynamic Application Security Testing allows for detection of vulnerabilities in running applications, simulating real attack scenarios.
  • Track AI Component Usage
    This feature helps organizations maintain an inventory of AI components, making it easier to manage compliance and security risks.

Mend Renovate

Mend Renovate automates dependency updates at scale, reducing risk and enabling faster delivery. It is the trusted standard for automated dependency updates, running on millions of repositories, and offers multiple Renovate options along with ROI guidance.

  • Reduce Risk By Up To 70%
    Mend Renovate significantly reduces the risk associated with outdated dependencies, making it a go-to standard in the industry for managing and automating updates.
  • Integrate With Major Platforms
    The platform easily connects with popular version control systems, allowing for smooth transitions and minimal disruption to existing workflows.
  • Choose Best Update Method
    Users can select from various methods to update dependencies, optimizing processes according to their unique project requirements.
  • Estimate Savings Quickly
    Mend Renovate offers tools to help organizations quickly calculate their savings and efficiency gains from automated dependency management.

Mend SCA

Mend SCA secures open source dependencies and container images, with repository integrations to major code hosts and end-to-end coverage of the software supply chain.

  • Identify CVEs
    Mend SCA provides alerts and fixes for known vulnerabilities in your open source dependencies.
  • Automate License Management
    Mend SCA simplifies compliance by tracking and managing open source licenses across your codebase.
  • Leverage AI for Risk
    Utilize advanced analytics to assess potential risks associated with open source and container components.
  • Secure Container Images
    Mend SCA ensures the integrity of container images by continuously scanning for vulnerabilities.
  • Comprehensive Coverage
    Mend SCA offers robust security policies to safeguard the entire software supply chain.
  • Integrate with Major Repos
    Seamless integration with key code hosting platforms ensures streamlined usage and monitoring.

References

Methodology and sourcing behind the market figures shown above.

AI security

Estimate anchored to The Business Research Company’s AI infrastructure security figure ($12.01B in 2025) as the closest match to model/LLM-focused security; corroborated by broader AI-in-cybersecurity reports (MarketsandMarkets, Market Research Future) showing larger total-market ranges and CAGRs of ~11–15% for broader definitions.

Application security testing

Estimated current (2025) market size set to the cluster of independent estimates around USD 14B (median of cited reports). Growth potential (CAGR) taken as a central tendency of reported forecasts (most sources 11–16% with some higher outliers); I selected ~14.5% as a representative, actionable CAGR reflecting consensus across the search results.

Supply chain security

Primary estimate uses the MarketsandMarkets 2024 supply chain security forecast (USD 2.52B in 2024, 12.6% CAGR to 2030). Other search results report larger totals (MarketResearchFuture: USD 17.57B in 2024, 7.79% CAGR; LinkedIn/report summaries: ~USD 30B, ~13.1% CAGR) reflecting broader definitions (hardware, logistics, and compliance). Variation arises from differing market scopes; MarketsandMarkets was used as the primary, conservative anchor for this segment.

Open source dependency governance

No explicit market-size or CAGR figures for “open source dependency governance” were present in the provided search results. I estimated using domain hierarchy and vendor/service signals: dependency governance is a subset of the Software Composition Analysis / application-security/DevSecOps space. Leading vendors (Snyk, Sonatype, Synopsys Black Duck, Mend/WhiteSource) plus professional services and managed offerings imply a combined addressable market in the low-single‑billion USD range. Aggregate vendor product revenues, adoption across enterprises driven by supply‑chain security, SBOM/regulatory demand, and ongoing developer automation trends support a high growth profile. Conservatively this niche is estimated at ~1.2B USD today with continued rapid adoption implying a ~20% CAGR over the next several years (driven by increased enterprise adoption, regulatory pressure, and integration into CI/CD toolchains).

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