REPOGEO REPORT · LITE
derisk-ai/OpenDerisk
Default branch main · commit 3194987c · scanned 6/13/2026, 7:51:46 PM
GitHub: 944 stars · 127 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface derisk-ai/OpenDerisk, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README opening to clarify open-source, AI-native, multi-agent focus
Why:
CURRENTOpenDeRisk is an AI-Native Risk Intelligence System designed as your application system's intelligent manager, providing 7×24 hour comprehensive and in-depth protection.
COPY-PASTE FIXOpenDeRisk is an **open-source, AI-Native Risk Intelligence System** that leverages a **multi-agent architecture** to act as your application system's intelligent manager, providing 7×24 hour comprehensive and in-depth protection. Unlike traditional enterprise security platforms, OpenDeRisk offers a transparent, extensible framework for proactive risk identification and deep root cause analysis.
- mediumhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://[YOUR_PROJECT_WEBSITE_OR_REPO_URL_HERE]
- lowtopics#3Add more specific topics to improve categorization
Why:
CURRENTagent, ai-sre, aigc, devops, mcp, multi-agent-systems, multi-agents-orchestration, rag, risk, rl, sre
COPY-PASTE FIXagent, ai-sre, aigc, devops, mcp, multi-agent-systems, multi-agents-orchestration, rag, risk, rl, sre, open-source, application-security, risk-intelligence, ai-security
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Splunk Enterprise Security (ES) with Machine Learning Toolkit · recommended 1×
- Elastic Security (formerly Elastic SIEM) with Machine Learning · recommended 1×
- Microsoft Azure Sentinel with Azure Machine Learning · recommended 1×
- Google Cloud Security Command Center (SCC) with Chronicle Security Operations · recommended 1×
- IBM Security QRadar Advisor with Watson · recommended 1×
- CATEGORY QUERYHow can I use AI to proactively identify and mitigate application system risks?you: not recommendedAI recommended (in order):
- Splunk Enterprise Security (ES) with Machine Learning Toolkit
- Elastic Security (formerly Elastic SIEM) with Machine Learning
- Microsoft Azure Sentinel with Azure Machine Learning
- Google Cloud Security Command Center (SCC) with Chronicle Security Operations
- IBM Security QRadar Advisor with Watson
- CrowdStrike Falcon Platform (with Falcon Insight XDR and Falcon Fusion)
- Darktrace Enterprise Immune System
AI recommended 7 alternatives but never named derisk-ai/OpenDerisk. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools provide multi-agent SRE capabilities for deep root cause analysis across logs and traces?you: not recommendedAI recommended (in order):
- Dynatrace
- New Relic One
- Datadog
- Splunk Observability Cloud
- Honeycomb
- Loki (grafana/loki)
- Tempo (grafana/tempo)
- Mimir (grafana/mimir)
- Prometheus (prometheus/prometheus)
- Grafana (grafana/grafana)
- Lightstep
AI recommended 11 alternatives but never named derisk-ai/OpenDerisk. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of derisk-ai/OpenDerisk?passAI named derisk-ai/OpenDerisk explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts derisk-ai/OpenDerisk in production, what risks or prerequisites should they evaluate first?passAI named derisk-ai/OpenDerisk explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo derisk-ai/OpenDerisk solve, and who is the primary audience?passAI named derisk-ai/OpenDerisk explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of derisk-ai/OpenDerisk. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/derisk-ai/OpenDerisk)<a href="https://repogeo.com/en/r/derisk-ai/OpenDerisk"><img src="https://repogeo.com/badge/derisk-ai/OpenDerisk.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
derisk-ai/OpenDerisk — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite