Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The AI Opportunity with Acronis: Building Autonomous IT | Rob Rae, Pax8 | Acronis Accelerate

Aug 7, 2026 By Acronis In Acronis
The industry is shifting and Rob Rae, Corporate VP of Community and Partner Experience at Pax, addresses the $700 billion opportunity MSPs have in front of them at “Acronis Accelerate: The Journey to Autonomous IT.” Discover how Pax8 and Acronis are building the future of AI together, giving small and mid-sized businesses the tools, technology, expertise and AI agents they need to offer enterprise-level services.
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The AI-Native Platform for the Autonomous MSP | JJ Jager and Yury Averkiev | Acronis Accelerate

Aug 7, 2026 By Acronis In Acronis
What does it take to run an AI-native MSP? In this keynote from “Acronis Accelerate: The Journey to Autonomous IT,” Acronis CEO JJ Jager and Chief Product Officer Yury Averkiev showcase how the Acronis platform turns the foundation of the AI era into a daily reality for MSPs. See how Acronis simplifies the complexity of managing multiple tools with a flexible, unified platform that supports both Acronis and third-party services, while enabling no-code and low-code automation built for modern service providers with AI built in from the start, not bolted on.
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Is an AI SOC Better Than MDR? What Security Teams Should Weigh

Is an AI SOC Better Than MDR? What Security Teams Should Weigh

Aug 7, 2026 By Kirsten Doyle In SecuritySenses
Security teams are expected to investigate more alerts than they have people to handle. IBM's 2025 Cost of a Data Breach Report puts a number on what that gap costs: organizations take an average of 158 days to identify a breach, and a further 83 days to contain it. That is 241 days of exposure, the fastest pace in nine years, and still measured in months. For most SOC teams, the bottleneck was never finding threats. It was having enough people to do anything about them.
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A worker checking two-factor authentication on smartphone

4 Easy Steps To Secure Mobile Field Work

Aug 7, 2026 By SecuritySenses In SecuritySenses
A field tech at a customer site can log into a scheduling app, pull up an invoice, and snap a site photo in under five minutes while connected to open Wi-Fi. That mobile device holds customer addresses, signed work orders, access codes, account credentials, and job-site photos. Unlike an office workstation that sits behind a firewall and never leaves the building, a field device moves through unfamiliar networks and high-risk physical spaces daily.
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acronis

How agentic AI works inside your tools: A practical example with Acronis Service Desk

Aug 6, 2026 By Acronis In Acronis
Author: Alexander Ivanyuk, Senior Director, Technology For many MSPs, AI still looks like an extra tool outside the real workflow: open a chatbot, paste in a ticket, ask for help, copy the answer back and continue working. It may save a few minutes, but it also creates more steps and more places where context can be lost.
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cyberhaven

How to Secure Agentic Coding Tools: Cursor and Claude Code

Aug 6, 2026 By Cyberhaven In Cyberhaven
Cursor and Claude Code now read source code, install packages, and push commits with much of the access a senior engineer has, and often with less oversight. Give an agent a prompt to fix a bug, and it may pull a private API key from a config file, pass a customer record into its context window, or send a snippet of proprietary logic to a third-party model provider to reason about the fix. Security teams built policy for developers typing code by hand.
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aikido

What is AI harness engineering?

Aug 6, 2026 By Dania Durnas In Aikido
Harness engineering is the practice of building the layer, including code, that turns an AI model from a text generator into an agent that can take actions. In short, an AI agent is a model plus a harness. The model decides what to do next, and the harness makes it happen, connecting the model to tools, context, external systems, and validation. In a lot of practical work, and especially in security work, the harness decides the quality of the output more than the choice of model does.
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kovrr

Who's Accountable When an AI Agent Makes the Wrong Call?

Aug 6, 2026 By Kovrr In Kovrr
On a Tuesday morning in Q3, a procurement agent at a mid-market manufacturer approved a $340,000 payment to a vendor account. The vendor name matched the approved-vendor list. The invoice format matched the standard template. The agent verified both, cross-checked the amount against historical purchase orders, and released the payment through the treasury API within eleven minutes of the invoice arriving. No human touched the transaction.
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