Security Research and Vulnerability Discovery
NextGrid Labs is the research arm of NextGridIT. Active bug bounty work on Microsoft and HackerOne platforms drives the same methodology that informs client security assessments, vulnerability prioritization, and remediation guidance.
Active research platforms
Research findings follow coordinated disclosure processes. Exact exploit paths remain inside disclosure boundaries while the research track is active.
Active research investigates whether public identity and mail-discovery endpoints can leak enough differential behavior to confirm a valid principal or tenant relationship without first obtaining credentials.
The analysis concentrates on response symmetry, protocol branching, timing variance, and legacy discovery heuristics that may allow an external actor to turn low-noise reconnaissance into higher-confidence account enumeration.
In practical terms, this is the kind of weakness that can compress the reconnaissance stage for password spraying, tenant profiling, and downstream social-engineering operations. That is why the work is framed around both root cause and defender-oriented mitigation.
Identity and authentication research
Investigating how public identity endpoints and mail-discovery workflows can leak information about valid accounts, tenant relationships, and organizational structure before authentication occurs.
Operational impact
When these patterns are reproducible, they compress the reconnaissance stage for password spraying, tenant profiling, and business email compromise preparation.
Defender perspective
Every finding is paired with practical mitigations — symmetric pre-auth behavior, legacy discovery reduction, tighter identity controls, and monitoring guidance for defenders.
Labs output drives real-world security work.
The same methodology used in bug bounty research feeds client security assessments, vulnerability prioritization, and remediation planning. Research isn't separate from the services — it's what makes them better than a generic scan-and-report.
Private model execution for analysis and code review.
NextGrid Labs uses self-hosted AI models to accelerate technical analysis, code review, and vulnerability triage — without letting source material, telemetry, or client data leave the controlled environment.
Tools We Build
Security and automation tools from NextGridIT. Open source, self-hosted, no vendor lock-in.
DNS Blocking
Practical DNS-level blocking for network security. Filter malicious domains, ads, and tracking at the DNS layer without expensive appliances.
Aegis SSH MCP
MCP server for SSH operations. Enables AI agents and automation workflows to execute remote commands, transfer files, and manage server infrastructure securely.
Aegis API MCP
MCP server for API interactions. Connect AI agents to REST and GraphQL endpoints with structured request handling and response parsing.
Active intelligence
Run Instant Perimeter Audit
Use the labs terminal to classify the mail edge, cross-reference research posture, and preview a blurred exposure brief before requesting the full report.
> waiting for target input...
> accepted input format: apex domain or delegated subdomain
Exposure brief preview
Awaiting target domain
Risk Score
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Preview staging
Run a scan to stage a blurred exposure brief with mail-edge classification, research context, and an instant risk score.