{"id":45185,"date":"2026-04-07T23:20:56","date_gmt":"2026-04-07T15:20:56","guid":{"rendered":"https:\/\/nuoya.nuoyayasuo.top\/index.php\/2026\/04\/07\/ai-agents-and-non-human-identities-creating-critical-security-gaps-report\/"},"modified":"2026-04-07T23:20:56","modified_gmt":"2026-04-07T15:20:56","slug":"ai-agents-and-non-human-identities-creating-critical-security-gaps-report","status":"publish","type":"post","link":"https:\/\/nuoya.nuoyayasuo.top\/index.php\/2026\/04\/07\/ai-agents-and-non-human-identities-creating-critical-security-gaps-report\/","title":{"rendered":"AI Agents and Non-Human Identities Creating Critical Security Gaps, Report"},"content":{"rendered":"\n

Businesses are rushing to adopt automation<\/a>, but they are leaving a significant security gap in their infrastructure as new data suggests this technological race is moving much faster than the security needed to protect it.<\/p>\n

On 7 April 2026, password security firm Keeper Security released a report at the RSA Conference in San Francisco, according to which many companies are failing to manage non-human identities<\/a> (NHIs). These are basically software-based assets, such as service accounts, API keys<\/a>, and AI-powered tools, that allow system-to-system interactions without any human involvement.<\/p>\n

The research, shared exclusively with Hackread.com, surveyed 109 cybersecurity experts and found a worrying trend: nearly half (46%) of companies now give AI-powered tools<\/a> access to their most sensitive data and critical systems, and despite this, 76% of these organisations do not have consistent rules to govern these identities under privileged access policies. In short, software is being granted excessive privileges without any real supervision.<\/p>\n

A Blind Spot<\/strong><\/h3>\n

One of the biggest problems identified by Keeper Security researchers is a simple lack of visibility. Only 28% of the professionals surveyed said they can actually see every non-human identity across their cloud, office, and Software as a Service (SaaS<\/a>) environments, which is a major concern. Furthermore, 53% of experts view this “lack of visibility into AI, automation, and machine access” as their top security risk, research revealed.<\/p>\n

For your information, without a clear view of these connections, security teams cannot enforce least-privilege access. This is the basic security rule where a machine is only given the absolute minimum level of access needed to do its job, but many companies are, instead, managing these digital identities using a messy, fragmented mix of different tools and teams.<\/p>\n

Security Breaches on the Rise<\/strong><\/h3>\n

These gaps aren’t just theoretical; they are already causing real-world damage. The report reveals that over 40% of the experts questioned admitted their company suffered a security incident involving machine credentials or NHIs in the past year, while another 32% were not even sure if they had been hit or not. That is a massive detection gap.<\/p>\n

According to researchers, only 26% of companies use automated detection and response<\/a> to watch over what these machines are doing, and most still rely on slow, manual processes. <\/p>\n

Darren Guccione, the CEO of Keeper Security, noted that this “shift introduces new complexity around identity” and requires a unified approach where a software platform combines password management and secrets control to keep data safe. This clearly proves that managing AI Agents<\/a> should now become a top priority to stop hackers from executing a major data breach.<\/p>\n