ContributorCristina Peterson
Airia contributor archive for enterprise AI, security, and orchestration content.
AIJune 18, 2026The Governance Hand Off Nobody Plans For
There’s a moment in most enterprise AI deployments that governance frameworks don’t talk about. Call it the handoff: the point where the team that built and validated an AI system transfers operational responsibility to the team that will run it day-to-day. In software, this is a solved problem. You write runbooks. You do knowledge transfer
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AIJune 12, 2026Shadow AI Statistics: Key Data Points Every CISO Needs in 2026
Shadow AI is already inside your enterprise. This post breaks down the most critical statistics every CISO needs in 2026 — adoption rates, data leakage, financial costs, agentic AI risk, and regulatory exposure.
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UncategorizedJune 9, 2026How Many AI Tools Is the Average Enterprise Running? [2026 Data]
The answer is higher than most CISOs think — and the gap between what IT knows about and what is actually running is wider than ever. Enterprise AI adoption has moved from deliberate strategic deployment to a fast-moving, decentralized free-for-all. Employees, departments, and development teams are independently sourcing, trialing, and embedding AI tools into their
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AIJune 1, 2026AI Guardrails: What They Are, How They Work, and Why Runtime Enforcement Matters
AI guardrails prevent harmful, non-compliant, and unsafe model outputs — but only if they're enforced at runtime. Learn what guardrails are, how they work, and why deployment-time controls aren't enough.
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AIMay 29, 2026The AI Risk Repository as Your Governance Superpower
Stop building AI governance programs on theory. The MIT AI Risk Repository gives compliance officers, auditors, and risk leaders real incident data to prioritize what matters, design better controls, and defend every decision to boards and regulators.
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AIMay 27, 2026What Is AI Drift — And Why It’s the Silent Risk No One’s Managing
AI drift happens when your model's real-world performance silently degrades after deployment. Learn what causes AI drift, why it's so dangerous in enterprise environments, and how to detect and manage it.
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AIMay 23, 2026Runtime vs. Deployment-Time Governance: Why Approving an AI Tool Is Not the Same as Governing It
Approving an AI tool is not the same as governing it. Enterprise AI risk materializes at runtime — in every prompt, output, and agent action. Here's what governance programs are missing.
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AIMay 23, 2026Why Model-Agnostic Governance Is the Only Enterprise AI Strategy That Scales
Enterprises run OpenAI, Anthropic, Google, and AWS simultaneously. Model-specific governance can't keep up. Here's why model-agnostic governance is the only architecture that scales.
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AIMay 23, 2026AI Agent Interoperability: What MCP and A2A Mean for Enterprise Governance
MCP and A2A protocols are reshaping how AI agents connect to tools and each other. Here's what enterprise governance programs need to know — and do — before the defaults are set.
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AIMay 20, 2026The 7 Ways Shadow AI Enters Your Organization (And How to Detect Each One)
Shadow AI enters your enterprise through 7 simultaneous vectors — from browser tools to developer APIs. Learn the three detection methods needed to surface them all.
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AIMay 19, 2026EU AI Act Part 3 – The Article 6(3) Filter: Your Escape Valve Has a Catch
Article 6(3) allows self-assessment out of the EU AI Act high-risk, but interpretation, architecture & profiling rules can block it.
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AIMay 18, 2026One AI Tool, Four Threat Surfaces: The Enterprise Guide to Governing Claude
Enterprises can't treat Claude as a single threat surface. Web, native apps, Claude Code, and Co-work each require different controls. Here's how to build a governance framework that covers all four — and scales as Claude evolves.
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AIMay 18, 2026EU AI Act Part 2 – The Classification Audit: A Decision Framework for Article 6
Airia is the enterprise AI platform that unifies orchestration, security, and governance — empowering teams to deploy intelligent workflows safely at scale.
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AIMay 18, 2026Claude Code Security in the Enterprise: Why Browser Controls Aren’t Enough
Claude Code gives AI direct access to developer terminals, bash commands, and codebases. If your security team isn’t governing it, nobody is. Here’s what enterprise AI governance for Claude Code actually looks like.
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AIMay 18, 2026Shadow AI Is Already Inside Your Enterprise. The Question Is How Much.
Enterprises can't treat Claude as a single threat surface. Web, native apps, Claude Code, and Co-work each require different controls. Here's how to build a governance framework that covers all four — and scales as Claude evolves.
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AIMay 15, 2026Shadow Claude Is Already Inside Your Enterprise. Here’s What to Do About It.
Employees are using Claude across browsers, native apps, Claude Code, and Co-work — with or without IT's knowledge. Learn how to gain visibility and control over Shadow Claude in your enterprise without killing productivity.
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AIMay 8, 2026What It Actually Means to Secure an LLM Deployment in Your Enterprise
what-it-actually-means-to-secure-an-llm-deployment-in-your-enterprise"meta_description: "Deploying an LLM in your enterprise is more than picking a model. Learn what it actually takes to secure an LLM deployment — from runtime enforcement to audit trails and data residency
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AIMay 8, 2026The EU AI Act Goes into Full Effect in 2026 – Is Your Enterprise Ready?
The EU AI Act is now in full effect. Understand what it means for enterprise AI deployments — and how to build a compliant, auditable AI governance framework before regulators come knocking."
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AIMay 8, 2026The CISO’s Guide to Approving Claude for Enterprise Use
CISOs face mounting pressure to greenlight AI tools like Claude while managing security, compliance, and data exposure risk. Here's a practical framework for doing it right
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AIMay 8, 2026Model-Agnostic AI Security: Why Locking Into One Model’s Safety Features Is a Risk
Relying on a single AI model's built-in safety features isn't a security strategy — it's a gamble. Here's why model-agnostic governance is the only defensible approach for enterprise AI.
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AIMay 8, 2026The Difference Between AI Security, AI Governance, and AI Compliance
An AI risk framework helps enterprises identify, assess, and manage AI-related risks. Learn what it includes and how to implement one effectively.
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AIMay 8, 2026How to Give Claude the Right Guardrails So Your Enterprise Can Move Fast
Most enterprises focus on obvious AI risks and miss hidden dimensions. Learn the 4 AI risk areas CIOs need to address for comprehensive governance.
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AIMay 6, 2026The Claude Security Checklist Every Enterprise Needs
Assess your enterprise Claude security posture with this 25-point checklist covering shadow AI discovery, DLP, governance, audit readiness, and continuous red teaming.
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AIMay 5, 2026Why Multi-Agent AI Systems Need a Traffic Controller
Multi-agent AI systems without orchestration are like airports without air traffic control. Learn why a multi-agent orchestration platform is essential at scale.
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AIMay 5, 2026The 4 Dimensions of AI Risk CIOs are Missing
Most enterprises focus on obvious AI risks and miss hidden dimensions. Learn the 4 AI risk areas CIOs need to address for comprehensive governance.
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AIMay 5, 2026AI Security Posture Management: What It Is and Why Enterprises Need It
AI security posture management helps enterprises discover shadow AI and enforce security across all AI systems. Learn what it is and why you need it.
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AIMay 5, 2026What is an AI Risk Framework?
An AI risk framework helps enterprises identify, assess, and manage AI-related risks. Learn what it includes and how to implement one effectively.
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AIMay 1, 2026What Is AI Governance? The Enterprise Leader’s Complete Guide [2026]
Meta Description:AI governance defines how enterprises control, monitor, and align AI systems with business and regulatory standards. Learn what it is, why it matters in 2026, and how to get started.
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AIMay 1, 2026AI Sprawl Is Getting Worse. How Enterprises Can Regain Control
AI sprawl is creating governance gaps, security risks, and cost overruns across enterprises. Learn how to identify, measure, and regain control of ungoverned AI.
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AIApril 30, 2026What is Model Context Protocol? The Enterprise Guide to MCP Adoption
Learn what Model Context Protocol (MCP) is and why MCP enterprise adoption is accelerating. Discover how to connect AI agents to business tools securely.
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AIApril 30, 2026What is a Responsible AI Platform? What Enterprises Should Actually Demand
An AI governance solution helps enterprises manage AI risk and compliance at scale. Learn what to look for and how to evaluate vendors in this buyer's guide.
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AIApril 29, 2026What is an AI Governance Solution? A Buyer’s Guide for Enterprise Leaders
An AI governance solution helps enterprises manage AI risk and compliance at scale. Learn what to look for and how to evaluate vendors in this buyer's guide.
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AIApril 29, 2026Understanding AI Prompts: The Foundation of Effective AI Output
AI prompt design determines the quality of AI outputs. Learn how prompts work, why they matter for enterprises, and how to optimize them at scale.
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AIApril 28, 2026What Runtime AI Enforcement Actually Means – And Why Pre-Deployment Checks Aren’t Enough
A model-agnostic AI orchestration layer protects your enterprise from vendor lock-in and lets you use the best model for every task. Here's why it matters.
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AIApril 28, 2026AI Governance vs. AI Compliance: Why Enterprises Confuse the Two
AI governance and AI compliance aren't the same thing. Learn the critical distinction — and why confusing them creates risk. Explore AI governance platforms that do both.
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AIApril 26, 2026EU AI Act Compliance Checklist: 12 Steps to Get Ready
The EU AI Act is fully applicable in August 2026. Use this 12-step compliance checklist to audit your AI systems, assign risk tiers, build governance infrastructure, and avoid costly penalties
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AIApril 22, 2026What is an AI Governance Platform (and Does Your Enterprise Need One?)
Learn what AI orchestration is, why enterprises need it, and how it enables teams to deploy AI agents faster without sacrificing security or control.
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AIApril 18, 2026Why AI Accountability is Shifting from Vendors to Enterprises
Enterprise AI accountability is shifting from vendors to deployers. Learn why organizations — not model providers — now own the risk and what to do about it.
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AIApril 14, 2026EU AI Act Risk Categories: Which Tier Is Your AI System?
The EU AI Act classifies AI systems into 4 risk tiers — each with different compliance obligations. Learn which tier your AI falls into and what it means for your organization.
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UncategorizedFebruary 20, 2026How to Build an AI Governance Framework from Scratch
Building an AI governance framework doesn't require a massive team or a multi-year roadmap. Here's a practical, step-by-step guide for enterprise leaders ready to start in 2026.
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AIFebruary 16, 2026What is an AI Control Plane? How Enterprises Manage AI at Scale
AI sprawl is creating governance gaps, security risks, and cost overruns across enterprises. Learn how to identify, measure, and regain control of ungoverned AI.
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