Technology
Nemesis: the workspace behind our deepest analysis
Nemesis is an advanced security operations platform that gives our consultants a unified workspace for deep analysis, automated code review pipelines, and structured engagement management. Every critical decision has an expert in the loop.
What Nemesis does
One workspace, from evidence to deliverables
Security teams usually stitch together separate tools for code analysis, finding triage, reporting, and collaboration. Nemesis consolidates those workflows into one platform with shared context and persistent run history.
Engagement Workspace
Each engagement gets a scoped workspace where consultants upload code, documentation, and flow recordings. Everything stays organized and accessible to the team throughout the assessment.
Code Analysis Pipeline
Ten integrated static analysis engines run in parallel across languages and frameworks. Findings are normalized into a single view so consultants work from one coherent picture, not fragmented tool outputs.
Automated Finding Triage
LLM-assisted triage classifies each finding as true positive or false positive, with reconciliation passes for consistency. Consultants review actionable results, not pages of noise.
Deep Research and Threat Modeling
AI-assisted research synthesis grounded in workspace evidence, plus OWASP Threat Dragon model generation and import. Findings, research, and notes compound into structured risk artifacts.
Test Plan Generation
Nemesis generates structured security test plans from findings, research, and engagement context. Consultants refine through an interactive Q&A loop and export finalized plans.
Report Drafting
Pentest-style report generation from cross-feature evidence with live editing during drafting. Consultants control every conclusion before export.
Code analysis
Ten engines, one normalized output
Nemesis integrates ten static analysis tools covering code quality, dependency vulnerabilities, secrets detection, and infrastructure-as-code scanning. Run them individually or launch the full suite in parallel.
Each engine's findings go through an LLM-assisted triage pipeline that classifies results as true positives or false positives, applies reconciliation passes for consistency, and produces standardized outputs that feed directly into findings, test plans, and reports.
Code and dependency scanning
Snyk Open Source, Snyk Code, Semgrep, Bandit, DevSkim, ESLint, PVS-Studio, and Detekt.
Secrets detection
Gitleaks scans repositories for exposed credentials, API keys, and other sensitive data.
Infrastructure as code
Consolidated IaC scanning via Checkov, Kubescape, Hadolint, and Helm Lint for container and Kubernetes configuration review.
How it works
The consultant stays in the loop
Nemesis proposes. The consultant decides. Nothing ships to a client without expert review and sign-off.
Expert-in-the-loop
Consultants drive it. Nemesis handles the grind.
Consultants set scope
Every engagement starts with a human defining what to test, how to test it, and what matters most. Nemesis executes within those boundaries.
Consultants approve actions
Nemesis can propose next steps like deeper scans, additional tool runs, and follow-up tests. But nothing runs without consultant approval. Human confirmation gates are built into every mutating action.
Consultants review findings
Every finding that reaches a client has been reviewed, validated, and contextualized by a human expert. Nemesis surfaces candidates; consultants make the call.
Consultants sign off on deliverables
Reports, recommendations, and risk assessments carry a consultant's judgment, not just a tool's output. Nemesis drafts; humans verify and deliver.
Architecture
Runs anywhere. Data stays with you.
Containerized
Nemesis runs as containerized services that deploy to any infrastructure: on-prem, cloud, or hybrid. No vendor lock-in.
Any cloud
AWS, Azure, GCP, or your own data center. Nemesis adapts to your environment rather than forcing you into ours.
Any LLM provider
Nemesis routes AI workloads through a centralized gateway supporting OpenAI, Azure OpenAI, Gemini, Groq, DeepInfra, Baseten, and AWS Bedrock. Use the provider that fits your requirements.
Data stays in your environment
Client source code and findings never leave the deployment environment. Cloud service boundaries are protected with mTLS. Your data, your infrastructure, your control.
Want to see Nemesis in action?
Talk to us about how Nemesis amplifies our consulting engagements.
Get in touch