Make agentic cloud security practical & bounded.
Practical engineering blueprints, threat models, and hands-on defense tracks for AI agents, autonomous toolchains, and multi-cloud infrastructure—backed by a searchable catalogue of 37,000+ curated tools.
Core Architecture Blueprint
Four pillars of agentic & cloud defense.
Autonomous AI workloads can use credentials, invoke cloud APIs, and modify systems. Defense requires end-to-end boundaries from prompt ingestion to cloud execution.
Scoped Credential Vaults
Prevent secret exfiltration. Agents never hold raw API credentials; short-lived, just-in-time tokens are injected via proxy gateways with strict role boundaries.
MCP & Tool Call Firewalls
Intercept and validate tool manifests, arguments, and responses before execution. Enforce schema boundaries to stop tool poisoning and unauthorized mutations.
MicroVM Sandboxing & TEEs
Isolate untrusted code generated by agents inside ephemeral Firecracker microVMs. Run sensitive inference inside attested hardware enclaves (Intel TDX / GPU TEE).
Reasoning Audit & Red Teaming
Capture full execution traces, detect indirect prompt injections, monitor privilege drift, and continuously evaluate multi-agent workflows with automated harnesses.
Curated Stack Spotlight
Open-source tools leading modern defense.
OneCLI
Credential vault for AI agents. Intercepts agent HTTP requests, cloaks raw secrets, and injects AES-256-GCM tokens with scoped access controls and audit logs.
Agentic Radar
Security scanner analyzing agentic workflows, visualizing data flows, tools, prompts, and detecting potential security weaknesses and tool exfiltration.
AI-Infra-Guard
Full-stack red-teaming platform: scans AI infrastructure across 30+ components (~400 CVEs), evaluates MCP server risks across 9 categories, and tests jailbreaks.
Polaxis MCP Firewall
Wraps Model Context Protocol agents with a 7-layer security firewall. Stops prompt injection, PII leakage, and memory poisoning at the tool-call layer before tools run.
Garak
LLM vulnerability scanner that dynamically probes models for hallucination, prompt injection, jailbreaks, data leakage, and toxic responses.
NeMo Guardrails
Open-source toolkit for adding programmable guardrails to LLM applications. Defines safe dialogue flows, prevents toxic outputs, and enforces action policies.
Interactive Defense Labs
A clear path through cloud & agentic security.
Hands-on guides and step-by-step security walkthroughs designed for engineers building resilient cloud platforms and autonomous systems. Self-paced and 100% free.
Agentic Cloud Security Essentials
Threat-model an AI agent with cloud access. Design defense-in-depth controls for agent identity, tools, sandboxing, approvals, and incident response.
Threat Modeling with STRIDE
Learn how to deconstruct modern distributed systems, uncover hidden attack surfaces, and develop practical risk mitigation matrices using STRIDE.
Zero-Trust Cloud Architecture
Eliminate implicit perimeter trust. Implement explicit verification, workload identity (SPIFFE), least-privilege IAM, and continuous attestation.
Security Engineering Fundamentals
Master the foundational building blocks of security engineering: public key cryptography, defense-in-depth, pipeline hardening, and resilient protocols.
Ethical Hacker Practical Way
Understand adversary methodology. Walk through surface reconnaissance, vulnerability scanning, and vulnerability exploitation mechanics safely.
Nmap Practical Defense
Conduct perimeter reconnaissance, audit open ports, fingerprint services, and automate security checks using the Nmap Scripting Engine (NSE).
Research & Field Notes
Engineering deep-dives into modern threat vectors.
We analyze real-world exploit mechanics, model isolation frameworks, and the evolving security boundaries required when AI systems are granted tool-execution capabilities.
Safeguarding the AI Frontier: An In-Depth Analysis of Straiker's Revolutionary Security Solutions ↗
Teardown of runtime guardrails, prompt injection barriers, and autonomous agent monitoring in multi-tenant environments.
Machine-Readable & LLM-Ready
CloudSecCorner is designed for human engineers and autonomous agents alike. Discover our public standardized endpoints for model retrieval and automation:
Community Driven Defense
Know a tool or pattern the security community should discover?
Recommend a maintained project, submit a new hands-on lab, improve an agentic threat model, or help verify security categories for teams building autonomous cloud systems.