TrustMe
Product
AI powered Software Governance empowers decision making to manage costs, security, and operations in less time.
TrustMe Discovers > Ingests > Engages: Scans, orchestrates, and reports to enhance the security, performance, and compliance of your software development lifecycle. TrustMe’s AI-driven solution provides observability into security and risks, delivering actionable insights, preemptive analytics, and productivity. TrustMe manages risk and security posture across People, Process, Product and Perimeter for engineering and DevOps teams.
Discover: Automatically find all code, devices, and endpoints
Ingest: Load structured and unstructured data
Engage: Identify productivity, security, and cost issues from a holistic single pane-of-glass dashboard
Observability
Aggregates data across security, asset management, issue management, business context, third-party risk, employee productivity and efficiency, and assessment framework guidelines
Application Security
Built-in application security tools provide Software Code Analysis (SCA), software vulnerability scans, Software Bill of Materials (SBOM), and endpoint application security
Actionable Insights
Correlates and normalizes related risks, security, and productivity to enable modeling of risks and derive actionable insights
Productivity & Efficiency
Software Engineering Intelligence Platform (SEIP) analyzes the productivity of developers and IT staff and efficiency of digital assets
Enterprise Knowledge Graph
Maps relationships across the organization by continuously gathering data automatically
Predictive Analytics
Contextualizes risk, security, and productivity data to predict outcomes, identify consequences, and optimize decisions
Continuous Monitoring
Monitors operations in real-time for holistic continuous visibility
Compliance
Quantifies trustworthiness for a competitive advantage and meets Governance, Risk, and Compliance (GRC) requirements
Security
Provide the tools and services to implement best practices for security and operations by optimizing the testing and analyses of security processes.
Built-in agents include:
Cloud Native Application Protection (CNAPP):
Helps organizations build, deploy, and run secure cloud-native applications throughout their lifecycle
Static Application Security Testing (SAST):
Provides real-time analysis, identifying issues within application source code
Dynamic Application Security Testing (DAST):
Detects security vulnerabilities early in the development cycle, saving costs
Software Composition Analysis (SCA):
Identifies open-source libraries, security issues, license compliance, and code quality to mitigate risks
Software Bill-of-Material (SBOM) Analysis:
Identifies license information of open-source and third-party software components to mitigate legal and reputation risk
Infrastructure-as-a-Code (IAC) Analysis:
Identifies weaknesses in infrastructure configuration, analyzes images, and detects vulnerabilities before deployment
Productivity
Connect with Jira, GitHub, BitBucket, Gitlab and SVN to measure developer productivity through open/closed tickets, completed sprints, and code commits
Understand project & sprint productivity
Measure predictability through Git/SVN analytics
TrustMe drives productivity and efficiency posture management, starting with looking at employee productivity and risk. TrustMe’s platform continuously measures and quantifies productivity based on activities, while also identifying potential threats like moonlighting or insider risks.
TrustMe specializes in developer productivity, providing actionable insights into efficiency, adherence to timelines, and overall performance. These insights empower organizations to optimize processes, develop targeted training, and reduce costs.
By analyzing productivity at the project and sprint levels, TrusMe offers a comprehensive view of team and individual performance. This enables better sprint planning, resource allocation, and improved project predictability.
TrustMe’s Git/SVN analytics provide deep insights into development workflows, identifying bottlenecks and opportunities for improvement. This data-driven approach enhances overall development productivity and efficiency.
Track and analyze development productivity to identify performance gaps
Predict and improve development progress for on-time delivery
Analyze individual developer productivity using metrics like story points, bug fixes, and security vulnerabilities
Visualize productivity insights with charts including: Velocity; Burndown; Lead Time; Cycle Time; Tempo Hours; Request For Enhancement Rate; Defect Rate; Roadmap Ticket Rate; and Support Assistance Rate
Agents
- Probes built-in for servers & endpoints
- Runs CNAPP (SAST, DAST, SCA), QCA, & IaC scanners
- Discovers assets (Libraries, DBMS, Files, etc.)
- Checks for patches
- Provides telemetry
Cloud
SaaS Orchestrator and Risk & Security Posture Management Control Center
Data aggregation
Dashboard
Live reports & analytics
Scanners
Scans applications & assets and integrates with 3rd party tools (SAST, DAST, SCA, IaC, & QCA)
Coach
AI guided inquiries & analytics
AI guided calculation
Toolset
- Scanners & monitors
- Client scanners & monitors
- Integrator (with CI/CD/issue
Management, Assets Management, Reputation Sources, Third-Parties)
Connector
- Installs in data center, private or public cloud
- Enables access for scanners to the test code and applications
- Sends telemetry from repos such as Gitlab, JIRA, and endpoints
- Integrates with APIs to AWS, BitBucket, GitHub, GitLab, Jira, and SVN