AI Strategy
What Is AI TRiSM? Gartner's Framework Explained
AI TRiSM stands for trust, risk, and security management — Gartner's framework for governing AI systems, and where runtime controls fit.
AI Strategy
AI Strategy
How to think about adopting, governing, and getting ROI from AI agents.
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The AI Control Plane: A Complete Guide
What an AI control plane is, why it emerged, how it differs from API gateways, and the core capabilities every enterprise AI deployment needs.
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AI Strategy
The 2026 AI Agent Security M&A Wave and Your Shortlist
Cato–Aim, Palo Alto–Protect AI, Cisco–Robust Intelligence: what 2026's AI security acquisitions mean when you're shortlisting vendors.
AI Strategy
Platform-Bundled vs Pure-Play AI Agent Security in 2026
A decision framework for choosing platform-bundled or pure-play AI agent security vendors after 2026's acquisition wave.
AI Strategy
AI Agent Governance for Enterprises
Enterprise AI agent governance at scale requires SSO, custom RBAC, delegated administration, and centralized policy enforcement across every team.
AI Strategy
AI Agent Governance for SaaS Companies
How SaaS teams embedding AI agents keep multi-tenant data isolated, costs attributed per customer, and agent behavior governed at scale across tenants.
AI Strategy
Zenity Alternatives for AI Agent Security in 2026
Evaluating alternatives to Zenity for AI agent security: what Zenity focuses on, why teams shop the category, and a factual survey of options.
AI Strategy
Lakera Alternatives for LLM Guardrails in 2026
Evaluating alternatives to Lakera for LLM guardrails: what Lakera focuses on, when teams need more than a content API, and the options.
AI Strategy
Prompt Security Alternatives in 2026
Evaluating alternatives to Prompt Security after the SentinelOne acquisition: what it covers, why buyers re-shop the category, and the options.
AI Strategy
An AI Governance Platform RFP Checklist
A ready-to-use RFP checklist for evaluating AI governance platforms: identity, policy enforcement, guardrails, spend controls, audit, and compliance.
AI Strategy
Microsoft Agent Governance and Independent Control Planes
Microsoft's agent governance stack — the open-source Agent Governance Toolkit, Entra Agent ID, Purview — and where an independent control plane fits.
AI Strategy
AI Agent Governance: Build vs Buy
An honest framework for deciding whether to build AI agent governance in-house or buy a platform, weighed by risk, team capacity, and time-to-value.
AI Strategy
AI Control Plane vs API Gateway: What's the Difference?
An API gateway manages traffic; an AI control plane governs agents. Learn the five critical gaps gateways leave open and what a control plane adds.
AI Strategy
How to Choose an AI Agent Governance Platform
A criteria-driven framework for evaluating AI agent governance platforms across identity, guardrails, cost controls, audit trails, and multi-agent trust.
AI Strategy
Measuring the ROI of AI Agents
Practical frameworks for quantifying AI agent ROI — cost per outcome, time recovered, and deflection rate — so you can move beyond vanity usage metrics.
AI Strategy
How to Roll Out AI Agents Safely
A staged rollout playbook for AI agents: inventory risk, run a scoped pilot with guardrails in place, define go/no-go criteria, and expand on evidence.
AI Strategy
What Is an AI Control Plane?
An AI control plane unifies identity, policy, guardrails, and audit across your entire agent fleet — so you govern every AI interaction from one place.
AI Strategy
Self-Hosted vs Managed AI Governance
Self-hosted AI governance gives full data residency control; managed shifts operational burden to the vendor. How to choose for your team.
AI Strategy
Choosing an AI Agent Management Platform: A Buyer's Guide
A structured buyer's framework for evaluating AI agent management platforms across identity, governance, cost control, observability, and compliance evidence.
AI Strategy
Guardrails vs Policies: Understanding AI Infrastructure Controls
Guardrails check content appropriateness; policies enforce rate limits and time windows. Both layers are required — neither substitutes for the other.
AI Strategy
Building Secure Multi-Agent Workflows
Secure multi-agent workflows with authentication at every hop, scoped delegation tokens, and content guardrails on every message—three patterns explained.