The Quest Blog

Why discovery doesn’t equal Power Platform migration readiness

Power Platform migration readiness involves moving beyond simple asset discovery to making strategic business decisions regarding the necessity, ownership, and modernization of eac…

Identity: The most underexamined source of security debt

Security debt is accumulating most rapidly within an organization's identity infrastructure through unmanaged accounts, excessive permissions, and fragmented systems. This risk is …

The Multiplicity problem: Why AI identity governance is becoming a security imperative

The rapid proliferation of AI agents is creating a surge of non-human identities that pose significant security risks to critical systems and data. Rather than waiting for theoreti…

A critical shift in identity security: New opportunities for partners to lead

Quest Software is expanding its AI-powered Security Management Platform with five new capabilities, such as agentic AI defense and managed recovery services, to address evolving id…

Identity security: The defining business challenge of the AI era

The rise of AI-driven machine and agentic identities has elevated identity security from a technical IT challenge to a critical board-level business resilience risk. To defend agai…

Build vs. buy is back in the headlines: How to make the right call

The author recommends a "buy-first" strategy for data and AI, suggesting that organizations should purchase foundational tools to accelerate time to value and avoid the immense com…

Trust by design: the new standard for AI-ready data

Instead of merely accelerating flawed processes with AI, organizations must prioritize building a robust data foundation through unified governance, modeling, and quality control. …

Agentic AI & cascading failure: Can your data systems carry the coming surge?

Rapidly deploying autonomous AI agents without prepared data environments creates a significant risk of cascading failures, where minor data errors trigger a chain reaction of inco…

Secure AI starts with secure identity

AI security is fundamentally an identity security challenge because AI agents do not create their own trust, but instead inherit the permissions and vulnerabilities of existing ide…

The #1 question to reduce AI costs

High AI costs are often driven by fragmented data that forces models to expend excessive tokens trying to interpret missing business context. Implementing a semantic layer provides…

The four identity capabilities organizations need for agentic AI security

Using the recent OpenAI breach of Hugging Face as a warning, this article argues that autonomous AI agents can rapidly exploit existing identity vulnerabilities much faster than hu…

The 90-second data model: Why AI-generated data models aren’t a modeling practice

While general-purpose AI can quickly generate plausible data models, these isolated snapshots lack the governance, connectivity to live databases, and security required for enterpr…