Lexicon
189 items
- Lexicon entryAgentic AI Frameworks
Autonomous Code Execution
Understand autonomous code execution for enterprise AI agents — how agents write, run, and iterate on code safely. Sandboxing, security controls, and leading platforms.
- Lexicon entryAgentic AI Frameworks
Cloud Sandbox for Agents
Understand cloud sandboxes for AI agents — isolated execution environments for safe code running, browser automation, and tool use. Security models, leading platforms, and enterprise controls.
- Lexicon entryAgentic AI Frameworks
Agent Marketplace / Discovery
Understand agent marketplaces and discovery platforms — how enterprises find, evaluate, and deploy pre-built AI agents. Governance, vendor evaluation, and leading platforms.
- Lexicon entryAgentic AI Frameworks
Agent-to-Agent Communication Protocol
Understand agent-to-agent communication protocols — how AI agents exchange tasks, context, and results. Covers Google A2A, MCP, enterprise architecture patterns, and governance.
- Lexicon entryAgentic AI Frameworks
Swarm Architecture
Understand AI swarm architecture — large networks of lightweight, parallel agents that coordinate without central control. Enterprise use cases, toolchains, and governance.
- Lexicon entryAgentic AI Frameworks
Hierarchical Agent System
Understand hierarchical agent systems — orchestrator and sub-agent architectures for complex enterprise workflows. Design patterns, toolchains, and governance for multi-tier agent deployments.
- Lexicon entryAI Governance & Compliance
Model Alignment
Understand model alignment for the enterprise — the techniques and frameworks that ensure AI systems behave as intended, avoid harmful outputs, and remain safe at scale.
- Lexicon entryAI Security
Jailbreaking (AI)
Understand AI jailbreaking — techniques that bypass model safety controls — and learn how enterprises defend against them with layered security, red teaming, and guardrails.
- Lexicon entryAI Security
Prompt Injection
Understand prompt injection attacks against enterprise LLM applications — direct and indirect variants, real-world attack vectors, and the security controls that stop them.
- Lexicon entryAI Security
AI Firewall / Guardrails
Deploy AI firewalls and guardrails to enforce safety, compliance, and content policies on LLM applications in production. Explore enterprise tools, architecture patterns, and best practices.
- Lexicon entryAI Governance & Compliance
Data Privacy (PII Redaction)
Learn how to protect PII and sensitive data in AI pipelines — redaction, anonymization, and tokenization techniques that keep enterprise AI compliant with GDPR, HIPAA, and CCPA.
- Lexicon entryAI Governance & Compliance
Responsible AI
Implement responsible AI practices across your enterprise — fairness, accountability, transparency, and bias mitigation frameworks that reduce risk and build stakeholder trust.
- Lexicon entryAI Governance & Compliance
Explainable AI (XAI)
Understand Explainable AI (XAI) for the enterprise — interpretability methods, tooling, and governance applications that make AI decisions auditable and defensible to regulators and stakeholders.
- Lexicon entryAI Governance & Compliance
AI Hallucination
Understand AI hallucination — why LLMs generate plausible-sounding falsehoods — and learn the enterprise architecture patterns, evaluation tools, and runtime controls that minimize hallucination risk.
- Lexicon entryAI Governance & Compliance
Content Moderation
Deploy AI-powered content moderation to enforce safety, compliance, and brand standards at scale — across user-generated content, AI outputs, and multimodal enterprise applications.
- Lexicon entryAI Governance & Compliance
Digital Watermarking
Learn how digital watermarking embeds traceable signals into AI-generated content to establish provenance, deter misuse, and satisfy emerging regulatory disclosure mandates.
- Lexicon entryAI Governance & Compliance
Federated Learning
Understand federated learning — how enterprises train AI models across distributed data sources without centralizing sensitive data, satisfying privacy regulations while improving model quality.
- Lexicon entryAI Security
Homomorphic Encryption
Learn how homomorphic encryption enables AI inference on encrypted data — so cloud providers and AI vendors never see your sensitive inputs. Explore HE frameworks, tradeoffs, and enterprise use cases.
- Lexicon entryAI Governance & Compliance
AI Bill of Materials
Understand AI Bills of Materials (AIBOM) — structured inventories of every component in an AI system used for regulatory compliance, vulnerability management, and AI supply chain security.
- Lexicon entryAI Governance & Compliance
Model Card
Learn what model cards are, why they are becoming a regulatory requirement, and how enterprises use structured model documentation to manage risk, enable governance, and accelerate responsible AI deployment.
- Lexicon entryAI Governance & Compliance
Role-Based Access Control for AI
Learn how RBAC for AI enforces least-privilege access to models, agents, tools, and sensitive data — preventing unauthorized use, controlling costs, and satisfying compliance requirements.
- Lexicon entryAI Governance & Compliance
Audit Logging (AI)
Learn how AI audit logging captures tamper-evident records of model decisions, data access, and system actions — enabling regulatory compliance, incident forensics, and AI accountability at enterprise scale.
- Lexicon entryAI Security
Red Teaming (AI)
Learn how AI red teaming systematically stress-tests models and AI systems for harmful outputs, jailbreaks, prompt injection, and policy violations before production deployment.
- Lexicon entryAI Security
Adversarial Testing
Understand adversarial testing for AI — how systematic manipulation of inputs exposes model vulnerabilities, and how enterprises build robust AI systems that withstand real-world attacks.