Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

kovrr

The Best AI Vendor Risk Management Tools in 2026

Oct 21, 2026 By Kovrr In Kovrr
Conventional vendor risk tooling asks whether a supplier will suffer a breach. For an AI provider that question is necessary and incomplete, because the larger exposure is what the provider does with your material while operating exactly as intended. ‍ Retention periods, training use, inference location and the model serving an endpoint are data governance questions rather than security ones. Most platforms in this market have no field for them, which is the first thing to check. ‍
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Bitsight MCP and Agentic AI Workflows: A Practical 90-Day Guide

Oct 21, 2026 By Bitsight In BitSight
How can security teams put agentic AI to work with trusted cyber risk intelligence? Discover how Bitsight MCP and Bitsight AI Mode help teams investigate cyber exposure, prioritize vulnerabilities, assess third-party risk, and automate security workflows. In this 45-minute webinar, Bitsight experts Christina Chehade and Tadd Hopkins demonstrate practical ways to bring AI into cybersecurity operations, from natural-language investigations to repeatable agentic workflows. You'll also get a 30/60/90-day roadmap for moving from initial exploration to scalable automation.
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Bitsight AI Mode: AI-Powered Cyber Risk Intelligence & Agentic Workflows

Oct 20, 2026 By Bitsight In BitSight
Meet Bitsight AI Mode, a new way to investigate cyber risk, prioritize critical exposures, and accelerate security decisions using AI-powered intelligence and agentic workflows. Built directly into the Bitsight platform, AI Mode combines conversational AI with automated, multi-step analysis to help security and risk teams turn complex cyber risk data into actionable insights. With Bitsight AI Mode, you can.
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kovrr

The Best AI Governance Platforms for Financial Services in 2026

Oct 20, 2026 By Kovrr In Kovrr
Most governance platform comparisons written for financial services lead with the EU AI Act high-risk regime. For a bank deploying credit scoring today, that is the obligation furthest from biting, and the ones already in force get less attention than they deserve. ‍ The criteria below follow the provisions rather than the subject areas, with dates attached, because the sequence they arrive in decides what a platform has to do first. ‍
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kovrr

Cyber Risk Register vs. Vulnerability Register

Oct 20, 2026 By Kovrr In Kovrr
The two registers hold different objects, run on different clocks and answer to different people. Where they are treated as one list at different levels of detail, items get counted twice and others fall between them. ‍ A vulnerability register holds findings on assets and numbers in the thousands. A cyber risk register holds loss scenarios and numbers in the tens. Neither is a summary of the other. ‍
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nucleus

There's Something Missing in the Discussion About AI in Vulnerability Management

Oct 19, 2026 By John Morton In Nucleus
The platform determines what is known. AI helps determine what it means. Technology solution providers across virtually every industry are racing to add AI, in some fashion, to their offerings. Vulnerability management providers aren’t immune, either. They’re racing just as fast as the rest of them, sometimes faster. These vendors are embedding copilots, assistants, and agents powered by technologies like Anthropic Claude, OpenAI GPT, and Google Gemini.
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netwrix

How to conduct a data risk assessment that drives action

Oct 19, 2026 By Netwrix Team In Netwrix
A data risk assessment evaluates where sensitive data lives, who can reach it, and what happens if that access is misused. It creates value only when teams assign and track remediation; without current access data and live verification, organizations can't show that exposure has fallen. 75% of sensitive data exposures begin with compromised identities or misconfigured permissions, according to the Netwrix 2026 Data and Identity Security Report.
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kovrr

What an AI Agent Registry Should Record

Oct 19, 2026 By Kovrr In Kovrr
Seven fields carry an agent registry, and they split into two kinds. Some a person has to state, because the answer exists only in somebody's intention. The rest can be read from systems that already hold them. ‍ Which kind each field belongs to decides whether the registry drifts. Typing an observable value creates a record that was accurate on the day somebody typed it, and recording a declared value is the only way to capture it at all. ‍
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kovrr

Top-Down vs Bottom-Up Cyber Risk Quantification

Oct 19, 2026 By Kovrr In Kovrr
Run both approaches against one company and the figures differ, which is expected. The useful part is that they differ in a predictable direction, which makes the distance between them informative rather than embarrassing. ‍ Bottom-up tends to come in lower and top-down higher, for reasons that follow from how each is built. Knowing which way each one leans is more useful than choosing between them. ‍
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