Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most “AI SOC” demos out there can look great. The polished dashboard, the confident verdict, the slide that says “autonomous.” A demo is built to show the platform at its best, on clean data, in a controlled environment, answering a question the vendor already knew was coming. The differences only show up after you’ve signed, when the platform meets your real stack, alert volume, and compliance requirements.

AI agents and LLMs are already building, analyzing, and deploying code across your software development lifecycle. As software supply chains become increasingly AI-driven, proactive security and access controls are your only path to success. To effectively govern authentication and permissions without sacrificing development speed, you must update your access management strategies.

Security teams are under constant pressure to move faster without giving up control, but in many organizations, access requests, approvals and credential workflows still live outside secure systems. They happen in chat messages, ticket comments or manual processes in tools like Slack, Teams, Jira or ServiceNow, increasing risk, reducing visibility and slowing response times.

AI agents can reason through tasks, call tools, and adapt their next steps based on intermediate results. That flexibility is useful for building agentic applications, but it also creates security risk at runtime: A prompt injection attempt can change the agent’s instructions, a malicious request can try to exfiltrate sensitive data, and an unsafe tool call can lead to an action that the application owner did not intend.

AWS has become a default infrastructure platform for many organizations. It offers scale, flexibility and a broad service portfolio. However, for managed service providers (MSPs) and cloud providers, AWS pricing can be difficult to explain, forecast and package profitably. One of the most important cost factors is AWS data transfer cost. Internet egress, or data leaving AWS for the public internet, is the most familiar example.

Cyber resilience depends on more than the strength of individual tools. IT teams need backup, recovery, security, endpoint management and automation to work together with shared context, consistent policy enforcement and reduced operational gaps. Acronis Cyber Protect v17 2026 Q2 continues that approach with new capabilities that expand protection coverage, improve security visibility, accelerate recovery and reduce administrative effort from a single integrated platform.