Mend.io Features

Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications.

Provides the ability to extend the platform to include additional features and functionalities

Provides risk scoring for suspicious activity, vulnerabilities, and other threats.

Provides tools for managing authentication credentials such as keys and passwords.

Analyzes data associated with security configurations and infrastructure to provide vulnerability insights and best practices.

Monitors configuration rule sets and policy enforcement measures and document changes to maintain compliance.

Tools to visualize and analyze data.

Track issues as vulnerabilities are discovered. Documents activity throughout the resolution process.

Examines application source code for security flaws without executing it.

Scans application source code for security flaws without executing it.

Allows users to access a terminal host system and input command sequences.

Runs pre-scripted security tests without requiring manual work.

Allows users to test applications for specific compliance requirements.

The rate at which scans accurately detect all vulnerabilities associated with the target.

The rate at which scans falsely indicate detection of a vulnerability when no vulnerabilitiy legitimately exists.

Provides image verification features to establish container approval requirements and continuously monitor for policy violations to identify containers with known vulnerabilities, malware, and other threats.

Scans application and image source code for security flaws without executing it in a live environment

Track issues as vulnerabilities are discovered. Documents activity throughout the resolution process.

The rate at which scans accurately detect all vulnerabilities associated with the target.

The rate at which scans falsely indicate detection of a vulnerability when no vulnerabilitiy legitimately exists.

Runs pre-scripted vulnerability scans without requiring manual work.

Allows users to scan applications and networks for specific compliance requirements.

Analyzes network devices, servers and operating systems for vulnerabilities.

Monitors configuration rule sets and policy enforcement measures and document changes to maintain compliance.

Allows users to perfrom hands-on live simulations and penetration tests.

Scans application source code for security flaws without executing it.

Scans functional applications externally for vulnerabilities like SQL injection or XSS.

Supports a useful and wide variety of programming languages.

Integrates seamlessly with the build environment and development tools like repositories, package managers, etc.

Grants comprehensive user-friendly insight into all open source components.

Provides relevant and helpful suggestions for vulnerability remediation upon detection.

Monitors open source components proactively and continuously.

Comprehensively identifies all open source version updates, vulnerabilities, and compliance issues.

Ability to detect any attempts to tamper with the software during the development or deployment stages

Scans for malicious code

Verifies authenticity of third-party components

Tracks potential security risks

Offers a software bill of materials to keep track of components

Tracks audit trails

Provides automated and continuous monitoring of various components

Identifies, tracks, and remediates vulnerabilities

Assesses and prioritizes risks based on application context

Ensures compliance with industry standards and regulations

Ensures mechanisms are in place for enforcing security policies across applications

Integrates with existing development and DevOps tools

Automates security tasks to improve efficiency

Includes tools for analyzing trends in security incidents and vulnerabilities over time

Assigns scores to vulnerabilities based on their potential impact, helping prioritize remediation efforts

Provides customizable dashboards that present real-time data on vulnerabilities, risks, and compliance status

Supports relevant SBOM formats such as cycloneDX and SPDX.

Provides robust, industry standard SBOM annotation functionality.

Generates thorough evidence of compliance including component relationships, licenses, and more.

Automatically and continuously monitors components to alert users of noncompliant elements.

Presents a transparent and easy to use dashboard for performing SBOM management.

Includes controls for role-based access permissions.

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Provides specific capability to defend AI assets from adversarial attacks (including prompt injection, data poisoning, model inversion or extraction) without requiring retraining of the underlying model.

Enables automatic inspection of model inputs (prompts) and/or outputs (responses) to prevent unsafe, sensitive or manipulated content.

Monitors the integrity of model weights, dependencies or metadata (for example via SBOM/AIBOM) to detect tampering, drift or unauthorised modification.

Verifies the ability to enforce who or what (users, agents, systems) may access a model or LLM asset.

Detects unusual or harmful runtime behaviour of AI models, agents or workflows (such as unexpected output patterns, excessive permissions use, or unknown agents).

Provides a persistent, searchable audit log of AI‑asset inputs, outputs and interactions (including who/what invoked the model, when, and with what data) for forensics and compliance.

Ensures that the AI‑security platform supports scaling of AI‑asset protection (models, agents, multi‑cloud deployments) and applies governance/compliance frameworks as AI usage grows.

Enables integration of the AI‑security solution with traditional security stacks (SIEM, SOAR, cloud security, application security, identity/access management) to unify visibility and response.

Offers visibility into unmanaged or unauthorized AI/agent use (“shadow AI”) across the organisation and enforces control over such usage (e.g., agent creation, LLM‑based services).

Supports codified, machine‑enforceable security policies targeting AI models/agents (for example, blocking certain categories of prompts, enforcing least‑privilege for model use, enforcing “no external data” rules).