Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

kovrr

What a Cyber Risk Number Cannot Tell You

Sep 3, 2026 By Kovrr In Kovrr
Arguments for quantifying cyber risk are abundant and mostly sound. What gets published far less often is a plain account of what a modeled figure does not tell you, which is unfortunate, because stating the limits is more persuasive to a skeptical audience than another argument for the method. ‍ We build these models. What follows is what they cannot do, written plainly, followed by what remains useful once those limits are accepted. ‍
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kovrr

Evidence on Demand, and Why Most Programs Cannot

Sep 3, 2026 By Kovrr In Kovrr
A governance program looks complete until somebody asks it to prove something on a deadline it did not set. A supervisor sends an information request. An underwriter asks for control coverage before binding. A prospect's security team asks how a specific control operated last quarter, and the deal waits on the answer. ‍ Most programs can describe what they do accurately and cannot evidence it inside the window. The difference is not a documentation problem.
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kovrr

Four Functions, One Obligation, No Owner

Sep 3, 2026 By Kovrr In Kovrr
The standard answer to fragmented AI compliance is a responsibility matrix mapped across the lifecycle. Procurement accountable at intake, legal responsible for regulatory vetting, engineering accountable at implementation, security accountable for monitoring. Every stage has an owner and every function knows its part. ‍ Read that arrangement carefully and the problem is visible inside the solution.
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keeper

Keeper Security Named Exemplary in 2026 ISG Buyers Guide for IAM

Sep 3, 2026 By Ashley D'Andrea In Keeper
Keeper Security has been named an Exemplary provider in the 2026 ISG Buyers Guide for Identity and Access Management (IAM) platforms — ISG’s highest classification. ISG Research evaluated 31 software providers across authentication, authorization, identity lifecycle management and access governance. Keeper earned an A- grade in every category ISG measures and an overall performance score of 83.0%.
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netwrix

AI Governance Framework: How to Build One That Works

Sep 3, 2026 By Netwrix Team In Netwrix
An AI governance framework proves itself the first time somebody asks for proof. The gap that sinks most programs sits under the policy, in the layer where nobody can say which identities reach sensitive data through an AI tool. Ownership, approval paths, control mapping, and live access visibility are what separate a working framework from a well-formatted document, and right now most organizations are missing at least one of the four. AI reaches most organizations through several doors at once.
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netwrix

The Active Directory Tiered Administration Model Explained

Sep 3, 2026 By Netwrix Team In Netwrix
The Active Directory tiered administration model blocks a common path from credential exposure on a compromised workstation to Domain Admin. It separates privileged accounts and systems by scope of control, then enforces logon boundaries so a privileged credential can authenticate only from an approved system. Dedicated accounts and hardened administrative workstations carry most of the weight. A domain admin signs in to a user's laptop to fix a printer problem.
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seemplicity

Response Options Combats "Patch or Wait" in the Age of Frontier AI

Sep 3, 2026 By Megan Horner In Seemplicity
When a vulnerability is urgent but the full fix isn’t immediately safe to deploy, security teams need another way to reduce risk fast. Seemplicity’s Response Options uses AI to identify and rank multiple ways to neutralize a threat – including patches, configuration changes, compensating controls, and network-level mitigations — based on risk reduction, effort, and operational impact.
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7 AI Detection and Response Platforms for Enterprise Security Teams

7 AI Detection and Response Platforms for Enterprise Security Teams

Sep 3, 2026 By SecuritySenses In SecuritySenses
The most difficult AI incidents do not necessarily begin with an obviously malicious prompt. An employee can ask an approved agent to summarize customer data. The agent retrieves the correct records, invokes an approved tool, generates the requested output, and then sends it somewhere it should never have gone. Every individual action may look legitimate in isolation. The incident only becomes visible when security can reconstruct the entire sequence and understand what the user intended, what the agent inferred, which systems it touched, and where the execution path diverged.
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Who Really Controls the AI? Why Infrastructure Sovereignty Matters

Who Really Controls the AI? Why Infrastructure Sovereignty Matters

Sep 3, 2026 By SecuritySenses In SecuritySenses
The smartest AI model in the room may still be running on someone else's computer. Teams focus on model quality and speed. They compare GPU availability and price. Control of the underlying infrastructure often receives less attention. That gap matters as AI moves into sensitive business systems. Models may process customer records. They may use intellectual property or regulated data. Some connect directly to production operations.
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