Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why IGA leaders choose Identity Manager, in their own words

The most experienced identity governance leaders don't need to experience the wrong platform before they understand what to look for. They recognize early that a mature identity governance and administration (IGA) program requires real customization, hybrid support that doesn't degrade over time and vendor investment in both on-premises and software as a service (SaaS), and they choose Identity Manager by One Identity from the start, renewing for the same reasons they first signed.

Protect Applications Manager logins with CAPTCHA validation

Login pages are one of the most attacked surfaces of any enterprise tool. They're often internet-facing, they're the front door to sensitive operational data, and unlike most vulnerabilities, they don't need to be discovered—they can simply be targeted with large volumes of automated attempts. For monitoring platforms like Applications Manager, which frequently sit with visibility into critical infrastructure, that front door matters even more.

A Simpler Way We Release and Support Every Product

A plain-language look at our new release and support policy — and what it means for you, no matter which product you run. For customers and partners, release and support practices have not always been easy to interpret. Different products used different terms for similar things — major and minor releases, patch releases, hotfixes — which made it hard to know which release to adopt, how long it would be supported, or whether a given update added functionality or only fixed something.

Rethinking identity security in the agentic AI age

Identity security conversations often arrive at the same unfortunate scenario: a stolen token and breach only discovered once major damage is done. Experts Rob Kraczek, global strategist at One Identity, and Chris Ray, field CTO of security and risk at GigaOm, recently unpacked why 3 a.m. token theft has become less exception, more routine — among other things.

Ask your PAM vendor this one question

Here's a test you can run in about five minutes. Pull up a privileged account in your directory, one that was used in a session yesterday. Is the account still there? Does it still hold the same privileged group memberships it had yesterday? I'd bet good money the answer to both is yes. That's not a criticism of your PAM tool. It's what traditional credential rotation was built to do, and more importantly, what it was never designed to do.

Apono Partners with Databricks to Govern Privileged Access Across the Lakehouse

Databricks has become the data and AI platform of record for a large and growing share of the enterprise market. Unity Catalog gives teams unified governance over data assets, AI models, and agentic workflows, controlling what exists, who can use it, and what policies apply.

15 Prompt Injection Examples to Look Out For

Let’s imagine that a support copilot opens a ticket and processes a hidden instruction alongside the text it was asked to summarize. If the model follows that instruction, the response is manipulated. In an agentic workflow, the same injection can also influence actions carried out through connected tools and existing permissions. OWASP refers to this risk as prompt injection and ranks it as LLM01, the number-one risk for LLM applications.

One Identity: Governing Every Identity - Human, Machine, and AI

Every enterprise runs on identity — and machines and AI agents now outnumber people in many environments. This 2-minute overview covers why identity has become a board-level priority, and how One Identity governs every identity — human, machine, and AI agent — on one unified platform. Validated by Omdia: 150% ROI, go-live in as little as one day, zero-touch onboarding.

Top 15 AI TRiSM Solutions By Category

AI TRiSM solutions address distinct risks across the AI lifecycle, from governance and evaluation to runtime security, agent authorization, and guardrails. In this comparison, the top 15 solutions fall into five complementary categories: These categories are complementary, not interchangeable. The right stack depends on where an organization needs to govern AI, monitor behavior, block threats, control agent privileges, or constrain AI interactions.