Now Live · v2.4 Agentic Security Patch
The Co-Creator for
Secure SDLC
AI-Powered SDLC Acceleration
Deploy specialized agents across your pipeline – auto-generate BRDs, test cases & code; automate JIRA workflows; provision CI/CD and infra in real time. Security-first, agentic architecture.
Deploy specialized agents across your pipeline – auto-generate BRDs, test cases & code; automate JIRA workflows; provision CI/CD and infra in real time. Security-first, agentic architecture.
Security professionals concerned about AI agent vulnerabilities.
87
%
Faster PR cycles via automated agentic code generation.
3.7
x
Trust architecture built into every autonomous execution layer.
0
// The Agent Squad
Autonomous Agents.
Unified Defense.
A modular army of specialized intelligence working across every phase of your development lifecycle.
BRD Generation
Converts stakeholder intent into precise technical requirements with traceable logic.
Type: Strategic
Code Generation
Multi-file scaffolding and feature synthesis with strict adherence to architectural patterns.
Type: Build
AI-as-a-Judge
Converts stakeholder intent into precise technical requirements with traceable logic.
Type: Evaluative
Testing Agent
Self-healing end-to-end suites that adapt as your codebase evolves day by day.
Type: Quality
DevSecOps Agent
Real-time vulnerability scanning, dependency triage, and automated patch generation.
Type: Operations
GenAI Cyber Shield
Detects prompt injection and adversarial attacks before they reach production.
Type: Defensive
// GenAI Cybersecurity
Real-time Threat
Neutralization
92% of security professionals are concerned about AI agent vulnerabilities. Our security agents don’t just alert – they act. They intercept malicious traffic and automatically rewrite vulnerable code suggestions on the fly.
- Automated SOC triage and analysis
- Predictive threat modeling for LLM deployments
- Continuous red-teaming by autonomous agents
- Prompt-injection & data-exfiltration mitigation
// MLAI Digital
METAGUARD.ai
Advanced AgenticAI Tool for Support SDLC
BRD Generation
Number of AI Models/AI Agents – 3
- Agents using LLM to Generate BRDs. Historical Data is also considered
- JIRA Automation
Code Generation
MCP Server integrated with Windsurf/Cursor/Github CoPilot
- Code Generation For Front End, Back End and Workflows by Various AI Tools
- Data Ingestion Pipelines
AI Eval Agents
Number of AI Models/AI Agents – 3
- AI-as-a-Judge
- Evaluation Benchmark
- Metrics Computation
Test Cases
Number of AI Models/AI Agents – 5
- Test Cases Generation using AI considering Manual Testing, Load Testing, Automated Testing
- JIRA Automation
Security and DEVOPS
Number of AI Models/AI Agents – 30
- Security Agents for AI
- DEVOPS Agents for Deployment