The Autonomous Cyber Defense Platform for Modern Cloud & AI Systems
Continuous Cloud Security Posture (CSPM), OWASP LLM Red Teaming, and Zero-Day API Defense. Engineered with OrcaRouter Cyber Inference and 8 dynamic AI providers for instant threat neutralization before vulnerabilities hit production.
git clone https://github.com/najafdev/secscan_ai.git && bash install.sh
remediation_s3_block_public.tf. Applied in 1.18s. Status: RESOLVED.
Engineered to Neutralize Cyber Threats at AI Velocity
Traditional vulnerability scanners produce mountains of unprioritized alerts. SecScan AI combines deep static & dynamic analysis with autonomous AI reasoning to isolate attack surfaces and write drop-in remediation code.
OrcaRouter Cyber Inference
Unified multi-provider AI engine featuring OrcaRouter integration (PR #26), OpenAI, Anthropic Claude, Google Gemini, Groq, DeepSeek, and local air-gapped Ollama instances with sub-second failover.
- Auto-fallback across 8 providers
- 240k tokens/sec inference routing
- Zero telemetry retention option
Cloud Posture & Kubernetes (CSPM/KSPM)
Real-time posture assessment across AWS, Azure, GCP, and Kubernetes clusters. Evaluates CIS Benchmarks, misconfigured IAM roles, open storage, and generates ready-to-run Terraform scripts.
- CIS Benchmarks v3.0 mapping
- Automated Bash & Terraform fixes
- Pod security standards enforcement
Autonomous OWASP LLM Red Teaming
Fuzz, probe, and attack generative AI pipelines against the OWASP Top 10 for LLMs. Uncovers prompt injections, indirect jailbreaks, vector store poisoning, and sensitive credential exfiltration.
- Adversarial prompt injection library
- Model inversion & hallucination tests
- Automated guardrail rule generation
The SecScan AI Modular Defense Matrix
A battle-tested architecture that unifies cloud infrastructure posture, runtime threat detection, application vulnerability scanning, and generative AI defenses into one coherent engine.
OrcaRouter Intelligent Cyber Inference
Dynamically routes security payloads across 8 AI models depending on latency, cost, and complexity constraints. Ensures zero-downtime cyber reasoning with automatic fallback.
from ai_engine.model_registry import get_model_registry
registry = get_model_registry()
engine = registry.resolve_optimal_provider(task="cspm_iac_remediation")
response = engine.generate_remediation(context=cloud_findings)Cloud Posture & K8s Guard
Continuous compliance auditing for AWS, Azure, GCP, and Kubernetes clusters with automated Bash and Terraform 1-click remediation scripts.
API Zero-Day Defense
High-speed detection of Broken Object Level Authorization (BOLA), JWT signature forging, mass assignment, and unauthenticated endpoints.
Detection-as-Code
Every detected vulnerability is mapped directly to countermeasure tactics: Deceive, Evade, Isolate, Harden, and Verify with compiled Sigma & YARA rules.
Distributed Redis Caching & Async Telemetry
Architected for high-throughput enterprise pipelines. Multi-tiered Redis caching caches repeated vulnerability fingerprints, cutting AI inference tokens by 68% and scanning whole repositories in seconds.
Test SecScan AI's Threat Neutralization Engine
Choose an attack vector or target architecture below and witness how SecScan AI's autonomous scanner assesses risks, discovers flaws, and synthesizes 1-click remedies.
D3-PSA (Process Segment Authorization)D3-LPA (Least Privilege Access)# Autonomous Remediation generated by SecScan AI
apiVersion: apps/v1
kind: Deployment
metadata:
name: auth-service
spec:
template:
spec:
securityContext:
runAsNonRoot: true
allowPrivilegeEscalation: false
capabilities:
drop: ["ALL"]
readOnlyRootFilesystem: trueZero Friction. Integrates in Seconds.
Run SecScan AI directly from your terminal, invoke via our Python SDK in automated pipelines, or spin up the distributed container stack with Docker Compose.
# 1. Clone repository & install dependencies
git clone https://github.com/najafdev/secscan_ai.git
cd secscan_ai
bash install.sh
# 2. Run an autonomous Cloud Security Posture (CSPM) scan
python advance_secscan_ai.py --cspm --cloud aws --k8s --output report.json
# 3. Launch interactive web dashboard & REST service
python advance_secscan_ai.py --web --port 8080from security.cspm_scanner import CloudSecurityScanner
from ai_engine.model_registry import get_model_registry
# Initialize CSPM scanner with CIS Benchmark checks
scanner = CloudSecurityScanner()
results = scanner.run_full_assessment(target_cloud="aws")
# Query OrcaRouter Cyber Inference engine for auto-remediation
registry = get_model_registry()
engine = registry.resolve_optimal_provider(task="remediation")
remediation_plan = engine.generate_remediation(findings=results["violations"])
print(f"Security Posture Score: {results['posture_score']}%")
print(f"Remediation Script:\n{remediation_plan.code}")# Start SecScan AI engine, Redis multi-tier cache, and PostgreSQL
docker-compose up -d
# Verify operational health
curl http://localhost:8080/health
{"status":"healthy","version":"2026.10.23","ai_engine":"OrcaRouter"}
# Tail live threat detection telemetry
docker-compose logs -f secscan_ai# Initiate autonomous vulnerability audit via API
curl -X POST http://localhost:8080/api/v1/scan \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $SECSCAN_AI_API_KEY" \
-d '{
"target": "https://api.internal.bank.com",
"scan_profile": "owasp_api_top10",
"ai_provider": "orcarouter",
"auto_remediate": true
}'Official Solana Ecosystem Token
To prevent fraud and protect our community, please note that the official SecScan AI token is currently under preparation and audit. Beware of counterfeit tokens and fake contract addresses.
* The official contract address is verified on this website and official GitHub repository releases. Never send funds to unverified contracts.
Built by Security Engineers for Developers
SecScan AI is maintained by an open, security-focused community committed to democratizing autonomous cyber defense.
FOUNDER
Everything You Need to Know
Answers to common questions regarding deployment, architecture, model data safety, and compliance.
How does SecScan AI compare to legacy vulnerability scanners?
Legacy scanners generate static reports full of false positives and leave remediation to manual human intervention. SecScan AI pairs multi-cloud posture analysis with autonomous AI reasoning (OrcaRouter, Claude, GPT-4o) and MITRE D3FEND mappings, delivering tested, ready-to-merge Terraform and Bash scripts that neutralize flaws in seconds.
Can SecScan AI operate in an air-gapped or high-security VPC?
Yes. SecScan AI natively supports local, air-gapped inference via Ollama and self-hosted model runners. Zero telemetry or code leaves your perimeter, making it fully compliant with SOC 2 Type II, ISO 27001, HIPAA, and defense-grade requirements.
What AI engines are supported out of the box?
As of release v2026.10.23, SecScanAI supports 8 interchangeable providers: OrcaRouter Cyber Inference, OpenAI, Anthropic Claude 3.5, Google Gemini 2.0, Groq (500 tok/s), DeepSeek V3, Mistral, and local Ollama instances with intelligent runtime failover.
How does SecScan AI conduct OWASP LLM Red Teaming?
Our AI Red Team harness runs automated adversarial probes against targeted generative AI applications. It tests against direct and indirect prompt injection, sensitive data leakage, vector database retrieval poisoning, and system role impersonation, providing actionable guardrail rules.
Where will the official Solana token CA be published?
The official Solana contract address (CA) is 6xJfHQBWz4A8jG9tD8zYBVNJHXjkqbPErkAcHdoVpump. It is verified across this official website and GitHub release tags. Beware of third parties offering unofficial tokens.