{"id":6078,"date":"2026-02-24T15:49:48","date_gmt":"2026-02-24T15:49:48","guid":{"rendered":"https:\/\/www.pax8.com\/blog\/?p=6078"},"modified":"2026-02-24T15:49:48","modified_gmt":"2026-02-24T15:49:48","slug":"top-security-trends-agentic-ai-era-2026","status":"publish","type":"post","link":"https:\/\/www.pax8.com\/blog\/top-security-trends-agentic-ai-era-2026\/","title":{"rendered":"Top Security Trends in the Agentic AI Era: What You Need to Know in 2026"},"content":{"rendered":"

When it comes to cybersecurity, the only constant is change. Sure, we\u2019ve heard that before, right? But recent developments have taken that notion and turned it up to 11. As AI has moved from merely helpful to autonomous in the form of AI agents, suddenly, AI isn\u2019t just helping folks write emails they don\u2019t feel like writing. It\u2019s now capable of making decisions and taking actions on its own, and operating with a degree of independence that fundamentally alters the threat model for every managed service provider (MSP), managed intelligence provider (MIP<\/a>) and the clients they support.<\/p>\n

The past year has delivered several unmistakable signals that keeping businesses secure is about to get more challenging: the first documented AI\u2011orchestrated cyberattack, the rise of shadow agents and the rapid escalation of AI\u2011driven social engineering. For our partners, these are very real risks that will shape service delivery, risk management and client expectations throughout 2026.<\/p>\n

Let\u2019s take a look at the top security trends<\/a> happening right now in the agentic AI era.<\/p>\n

The New Shadow IT Problem: Shadow Agents<\/h3>\n

In 2025, partners spent a lot of their AI\u2011related energy trying to rein in shadow AI \u2014 that is, employees getting sneaky and pasting sensitive data into unapproved tools. That problem hasn\u2019t gone away. While 92%<\/a> of respondents to a survey of governance, risk and compliance (GRC) and audit professionals said they\u2019re confident in their visibility into third-party AI use, a recent industry report showed more than 60%<\/a> of organizations still lack mature AI governance.<\/p>\n

But 2026 introduces a more dangerous variant: shadow agents. Sounds like some sort of 007 situation, right? Sure, but not in a good way.<\/p>\n

A shadow agent<\/a> is an autonomous workflow or system created by an employee \u2014 often with good intentions \u2014 using personal accounts, low\u2011code automation platforms or unvetted APIs. These agents come with a load of baggage \u2014 excessive permissions, no audit trail and no lifecycle management. That means they pass by undetected, past your stack and all your controls.<\/p>\n

Unlike plain ol\u2019 shadow AI, these systems can take action, instead of just leaking data. In fact, as much as $670k<\/a> is added to breach costs when shadow AI is involved.<\/p>\n

AI\u2011Orchestrated Cyberattacks Will Likely Increase<\/h3>\n

The clearest sign things have changed came in late 2025, when Anthropic<\/a> disclosed the first documented case of a large\u2011scale cyber\u2011espionage campaign executed primarily by an AI system: GTG-1002 (no, that\u2019s not a new Terminator). The attackers, which were assessed to be a state\u2011sponsored group, used Claude Code as an autonomous operator to attempt performing reconnaissance, generating exploit code, harvesting credentials and exfiltrating data across roughly 30 global targets.<\/p>\n

Anthropic reported the AI executed 80\u201390% of the intrusion activity autonomously. Human beings only had to step in at a handful of decision points. That\u2019s scary business. It means the agentic AI threat has moved from the hypothetical to the very real.<\/p>\n

For partners, that means some immediate implications:<\/p>\n