Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

EDR (endpoint detection and response) is no longer an enterprise-only technology. SMBs face many of the same attacker techniques as larger organizations, but generally have fewer security and recovery resources available to contain the impact. Modern EDR platforms, especially when delivered through MDR (managed detection and response) and extended where needed with XDR (extended detection and response), make enterprise-grade protection operationally feasible for MSPs to deliver to SMB clients.

The best AI security tools for small and mid-sized businesses do more than detect risky AI use: they show which generative AI tools employees actually use, they let you govern which AI apps are allowed, monitored or blocked, they stop sensitive data from leaving in a prompt, and they defend against harmful prompts, including prompt injection. Most organizations now run AI without that visibility or control. AI use has moved into the mainstream.

EDR (endpoint detection and response) and XDR (extended detection and response) are technologies. MDR (managed detection and response) is the managed service that continuously operates them — the 24/7/365 SOC team that monitors, investigates and responds to threats on the client’s behalf, built on top of EDR, XDR, or another detection stack.

To detect and govern shadow AI, organizations need to discover which AI tools employees are using, understand who is using them and why, then turn that visibility into an enforceable AI app policy. The goal is not only to find unsanctioned AI use, but to control which GenAI and AI-enabled apps are allowed, blocked or monitored across the organization.

NGAV (next-generation antivirus), EDR (endpoint detection and response), XDR (extended detection and response), and MDR (managed detection and response) are not four separate products bought independently — they are overlapping capabilities and delivery models. NGAV is a prevention capability, normally built into an endpoint protection platform or an EDR solution, that uses AI and behavioral analysis to block known and unknown threats.

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.

Quick definition: Cybersecurity threats are potential attacks that aim to gain unauthorized access to a network, steal or destroy data or disrupt business operations and critical infrastructure. Key takeaways: Organizations of all sizes can fall victim to modern cyberthreats. A malicious actor can have various motives for carrying out an attack, though financial gain remains the most common.

Quick definition: Email security is the combination of technical controls, authentication protocols and user practices that protect email accounts, messages and infrastructure from unauthorized access, phishing, malware and data loss. Key takeaways.

On July 30, Acronis hosted “Acronis Accelerate: The Journey to Autonomous IT,” the second event in its special Acronis Accelerate series. Building on the vision introduced at the previous event in May, in this edition Acronis moved from strategy to action, showing partners how Acronis is turning AI-native cyber platform thinking into real products, live workflows and practical opportunities for growth.