Cloud6AI Guide to Securing AI Agents
Cloud6AI guidance for reviewing AI agents, tool permissions, retrieval boundaries, evaluation gaps, and runtime monitoring.
Resources
Browse Cloud6AI guides and checklists, plus links to standards and research from their original publishers. Filter by topic or search for a specific challenge.
Public frameworks and original Cloud6AI guidance for cloud posture, governance, and control design.
Guidance for AI risk management, generative AI controls, and agentic system security.
Standards and guidance for CI/CD, artifacts, dependencies, provenance, and secure development.
Resources for prioritizing exploitable risk, exposure, remediation ownership, and operational reporting.
Guidance for access governance, privileged access, identity controls, and staged Zero Trust improvements.
Resources for telemetry, monitoring, traces, logs, and security operations observability.
28 resources shown
Cloud6AI guidance for reviewing AI agents, tool permissions, retrieval boundaries, evaluation gaps, and runtime monitoring.
Cloud6AI checklist for reviewing cloud identity, exposure, workload configuration, logging, governance, and remediation ownership.
Cloud6AI playbook for turning vulnerability findings into exposure-aware, owner-routed remediation work.
Knowledge base of adversary tactics and techniques based on real-world observations.
OpenTelemetry documentation covering security considerations for telemetry collection, transport, and deployment.
Kubernetes project guidance defining baseline and restricted pod security profiles.
CNCF Falco project documentation for cloud-native runtime threat detection.
NIST vulnerability database that enriches CVE records with scoring, references, and searchable vulnerability data.
OWASP awareness document for critical web application security risks.
OWASP project focused on security risks and guidance for generative AI and LLM applications.
OWASP guidance on common security risks in LLM applications, including prompt injection, data exposure, and unsafe integrations.
NIST's finalized post-quantum cryptography standards for key establishment and digital signatures.
NIST profile for identifying and managing risks that are distinctive to generative AI systems.
A NIST framework for organizing governance, identification, protection, detection, response, and recovery practices.
MITRE knowledge base focused on adversarial threats to AI-enabled systems.
OpenSSF framework for improving integrity across build, provenance, and software artifact supply chains.
CNCF whitepaper on cloud-native security concepts, lifecycle practices, and ecosystem considerations.
OpenSSF tool for assessing open source project security health through automated checks.
MITRE list of dangerous software weaknesses that can guide application security education and prioritization.
Open source project for signing, verifying, and protecting software artifacts in supply chains.
OWASP project identifying common and high-impact API security risks.
CISA guidance encouraging technology providers and software teams to make security a core product design responsibility.
CISA maturity model for organizing Zero Trust improvements across identity, devices, networks, applications, data, and visibility.
CISA baseline cybersecurity goals intended to help organizations prioritize high-value security practices.
Voluntary NIST framework for managing risks associated with AI systems across design, development, use, and evaluation.
NIST guidance for reducing software vulnerabilities through secure development practices.
CISA catalog of vulnerabilities known to be exploited in the wild and useful for risk-based remediation prioritization.
OWASP maturity model for analyzing and improving software security programs.