Framework Assessment
NIST AI RMF Risk management framework for identifying, measuring, and governing AI risk.
Useful for governance programs, risk registers, and validation of AI control coverage.
Framework Assessment
ISO/IEC 42001 AI management system standard for governance, accountability, and continual improvement.
Maps well to policy workflows, evidence management, and internal controls.
Framework Match
ISO 27001 Information security management standard used to anchor AI security controls.
Useful where AI workloads inherit enterprise security control requirements.
Framework Match
OWASP LLM Top 10 Threat-driven taxonomy for common large language model attack paths.
Maps directly to prompt injection, leakage, abuse, and supply chain threats.
Framework Match
MITRE ATLAS Adversary tactics and techniques for AI and machine learning attack analysis.
Supports threat-informed defense for model, data, and agent abuse scenarios.
Framework Match
CSA AI Controls Cloud Security Alliance guidance for AI control mapping and cloud assurance.
Connects AI governance to cloud security architecture and control inventories.
Framework Match
EU AI Act Regulatory framework for risk-based AI governance and documentation.
Relevant for control traceability, high-risk AI workflows, and compliance readiness.
Threat Match
Prompt Injection Malicious instructions that alter model behavior or bypass policy boundaries.
Frequently mitigated with prompt inspection, guardrails, and contextual policy enforcement.
Threat Match
Indirect Prompt Injection Hidden malicious instructions embedded in retrieved content or external data.
Requires content inspection, retrieval filtering, and output protection.
Threat Match
Hallucination Incorrect or fabricated model output presented with undue confidence.
Mitigated with evaluation, guardrails, retrieval controls, and review workflows.
Threat Match
Model Theft Extraction or replication of model behavior, weights, prompts, or sensitive configuration.
Requires access governance, watermarking, telemetry, and monitoring.
Threat Match
Model Poisoning Tampering with training data, fine-tuning data, or model artifacts.
Defended through supply chain controls, validation, and red team testing.
Threat Match
Sensitive Data Leakage Sensitive or regulated data disclosed through prompts, outputs, or logs.
Reduced with DLP, content controls, encryption, and classification.
Threat Match
RAG Poisoning Corruption of retrieval sources that influence model answers.
Mitigated with retrieval filtering, source trust controls, and monitoring.
Threat Match
Vector Database Attacks Attacks against embeddings, indexes, or retrieval stores used in AI systems.
Requires access control, segmentation, and integrity monitoring.
Threat Match
Shadow AI Unapproved AI services or tools used outside governance controls.
Detected through discovery, monitoring, and identity-aware policy.
Threat Match
Agent Abuse Abuse of autonomous or semi-autonomous agent workflows.
Managed through least privilege, tool allow lists, and runtime monitoring.
Threat Match
MCP Abuse Misuse of Model Context Protocol tools, servers, or connectors.
Needs identity enforcement, allow lists, and session logging.
Threat Match
Prompt Leakage Sensitive prompt content exposed through logs, model responses, or users.
Address with output filtering, logging controls, and data minimization.
Threat Match
Supply Chain Attacks Compromise of models, packages, connectors, or dependencies used by AI systems.
Reduced with model evaluation, secrets management, and integrity controls.
Control Match
AI Gateway Central policy and routing layer for AI traffic.
Acts as the control plane between users, applications, and model providers.
Control Assessment
Prompt Firewall Inline prompt inspection and filtering control.
Best placed before model invocation and tool execution.
Control Match
Output Filtering Validation of generated outputs before delivery.
Often combined with moderation, policy checks, and redaction.
Control Assessment
Guardrails Policy boundaries for safe and intended AI behavior.
Effective when paired with policy engine, logging, and review loops.
Control Assessment
Content Safety Moderation and safety classification for AI inputs and outputs.
Use with moderation rules, brand safety, and escalation workflows.
Control Assessment
Identity Identity control plane for user and service access.
Supports SSO, conditional access, and session governance.
Control Assessment
RBAC Role-based access control for AI systems and tools.
Best applied to model access, tool use, and operational approvals.
Control Match
Secrets Management Managed lifecycle for API keys, tokens, and credentials.
Should integrate with KMS, vaults, and CI/CD pipelines.
Control Assessment
DLP Data loss prevention for prompts, context, and outputs.
Requires classification, policy tuning, and exception handling.
Control Assessment
Encryption Encryption for data at rest, in transit, and in protected workflows.
Pair with key management, certificates, and service boundaries.
Control Assessment
SIEM Security event collection and correlation for AI telemetry.
Should ingest AI events, model calls, and policy outcomes.
Control Match
SOAR Automated response orchestration for AI-related alerts and incidents.
Use playbooks to contain model abuse, data leakage, and policy violations.
Control Assessment
Logging Audit and operational logging for AI workflows.
Capture model requests, responses, prompt actions, and policy decisions.
Control Assessment
Monitoring Ongoing monitoring of model behavior, policy events, and anomalies.
May include alerting, baselining, and operational dashboards.
Control Match
Model Evaluation Testing and validation of model behavior before release.
Use structured test suites, adversarial prompts, and acceptance thresholds.
Control Match
Runtime Protection Controls applied during live AI execution.
Supports inline and out-of-band enforcement.
Control Match
AI Red Teaming Adversarial validation of models, prompts, and agent workflows.
Exercises should cover prompt attacks, tool abuse, and retrieval manipulation.
Technology Match
Azure OpenAI Managed OpenAI service in Azure for enterprise AI workloads.
Often used with Azure policy controls, content safety, and logging.
Technology Match
Amazon Bedrock AWS foundation model platform for enterprise AI services.
Integrates with IAM, CloudTrail, and governance-oriented workflows.
Technology Match
Vertex AI Google Cloud AI platform for model operations and deployment.
Works with Cloud Logging, DLP, and multi-region cloud control patterns.
Technology Match
Anthropic Enterprise model provider with Claude models.
Usually controlled through SSO, gateways, and logging pipelines.
Technology Match
OpenAI Enterprise model provider and API platform.
Should be paired with policy enforcement, telemetry, and access governance.
Technology Match
Gemini Google model family for enterprise AI applications.
Commonly paired with Google Cloud telemetry and DLP.
Technology Match
Llama Open-weight model family for self-managed deployments.
Requires stronger model validation and runtime monitoring.
Technology Match
Mistral Model provider used in enterprise and self-managed scenarios.
Should be coupled with control validation and logging.
Technology Match
Vector Databases Retrieval stores and embedding indexes for RAG applications.
Needs access controls, integrity checks, and poisoning resistance.
Technology Match
LangChain Application framework for orchestrating LLM and tool workflows.
Needs guardrails, prompt controls, and runtime monitoring.
Technology Match
Semantic Kernel Application orchestration framework for AI-enabled systems.
Should be paired with identity, logging, and policy controls.
Technology Match
MCP Model Context Protocol for tool and context integration.
Needs authentication, tool allow lists, and session logging.
Technology Match
Agent Frameworks Frameworks for agent orchestration and tool calling.
Should use least privilege, sandboxing, and runtime detection.
Vendor Category Match
AI Gateways Platforms that centralize AI routing, policy, and telemetry.
Commonly used with identity, logging, and content controls.
Vendor Category Match
DSPM Data security posture management platforms for AI data exposure control.
Often supports classification, discovery, and policy workflows.
Vendor Category Match
Runtime Protection Products that monitor and enforce controls during live AI execution.
Used inline or out of band for live prompts and model calls.
Vendor Category Match
Model Monitoring Monitoring and assurance platforms for model behavior and drift.
Often integrates with CI/CD and observability stacks.
Vendor Category Match
AI Governance Tools for policy lifecycle, accountability, and governance evidence.
Useful for control mapping, approvals, and governance workflows.
Vendor Category Match
Content Safety Controls for moderation, policy enforcement, and unsafe content handling.
Typically used for prompts, responses, and multimodal content.
Vendor Category Match
Prompt Security Platforms that detect, filter, and govern prompt-based attacks.
Works alongside gateways, moderation, and runtime controls.
Vendor Category Match
Identity Identity and access vendors relevant to AI system control planes.
Applies to users, services, and machine identities.
Vendor Match
Microsoft Enterprise platform vendor with identity, data, and AI security capabilities.
Relevant across identity, governance, DLP, and AI service layers.
Vendor Match
OpenAI Enterprise Enterprise model provider with admin controls and access governance.
Should be wrapped with identity, logging, and output controls.
Vendor Match
Anthropic Model provider for governed enterprise AI workloads.
Usually depends on customer-side governance and monitoring.
Vendor Match
AWS Cloud platform vendor with Bedrock, guardrails, and security services.
Supports identity, logging, and policy integration.
Vendor Match
Google Cloud Cloud AI platform vendor with Vertex AI and security tooling.
Pairs well with logging, DLP, and control mappings.
Vendor Match
CyberArk Identity security and privileged access vendor relevant to AI access control.
Supports secrets management and machine identity controls.
Vendor Match
SailPoint Identity governance vendor relevant to AI access certification and reviews.
Useful for identity governance in AI workflows and approvals.
Vendor Match
Lakera Prompt security vendor focused on guardrails and content policy enforcement.
Often used inline between users and model endpoints.
Vendor Match
Protect AI Model security and red teaming vendor for AI supply chain assurance.
Supports release validation and adversarial testing.
Vendor Match
HiddenLayer Runtime detection and model threat protection vendor.
Useful for operational monitoring and AI incident response.
Vendor Match
Prompt Security Employee AI governance and prompt protection vendor.
Combines prompt security, governance, and endpoint controls.
Research Match
Prompt Security Platforms Research article on enterprise prompt and response security evaluation.
Useful for control selection, vendor review, and deployment planning.
Research Match
AI Runtime Protection Research article on runtime detection and enforcement for AI systems.
Useful for evaluating inline and out-of-band detection patterns.
Research Match
SecureAIScore Methodology Original evaluation methodology for enterprise AI security scoring.
Maps security, governance, compliance, deployment, identity, monitoring, data protection, and supportability.
Research Match
Framework Research Outlook Framework convergence and evidence readiness research for AI security programs.
Useful for standards mapping, compliance, and audit preparation.
Research Match
Vendor Intelligence Framework Framework for evaluating AI vendors without rankings or proprietary scoring claims.
Connects capabilities, deployment fit, integrations, and enterprise support model.
Research Match
AI Architecture Evolution How enterprise architecture teams redesign control planes for secure AI adoption.
Useful for architecture reviews, platform engineering, and cloud planning.
Research Match
Threat Intelligence Trends Market and threat trends shaping the AI security landscape.
Useful for SOC planning, red team scoping, and governance decisions.
Lab Match
Prompt Injection Lab Hands-on lab for testing prompt injection scenarios and mitigations.
Pairs with red team exercises and content safety control testing.
Lab Match
Secure RAG Lab Lab for retrieval security, DLP, and poisoning resistance patterns.
Useful for vector database and context trust evaluation.
Lab Match
Supply Chain Lab Lab for model and dependency integrity validation.
Use for model evaluation, artifact review, and secrets validation.
Learning Match
CISO Learning Path Executive learning path for governance, risk, and operating model decisions.
Focus on policy, risk reporting, and decision traceability.
Learning Match
Architecture Learning Path Architecture path for control plane design and platform integration.
Focus on identity, gateways, telemetry, and deployment boundaries.
Learning Match
SOC Learning Path Operational path for monitoring, detection, and incident response.
Focus on logs, SIEM, SOAR, and runtime detection.
Learning Match
Red Team Learning Path Hands-on path for adversarial AI testing and scenario development.
Focus on abuse cases, adversarial prompts, and validation exercises.
Learning Match
Compliance Learning Path Path for framework mapping, evidence, and regulatory readiness.
Focus on ISO, NIST, and EU AI Act mapping.