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Invisible Threats in Plain Sight: Rethinking Web Activity as a Critical Attack Surface


Posted on by Michael Chukwube

Key Takeaways:
  • Browsers have become a critical attack vector, with attacks now integrated into mundane operations such as scripting, plugins, and third-party web applications.
  • Trust is the new weakness; cybercriminals are relying more on the use of legitimate applications and frameworks to conduct covert attacks on a large scale.
  • Security needs to be proactive, which means that security needs to monitor browser behavior and tightly regulate extensions and dependencies.

The web browser used to serve as a simple window to the internet. That idea is now outdated. Enterprise workers spend most of their day inside browser tabs, coding, researching and collaborating in SaaS applications and generative‑AI copilots and cloud consoles run there too. Attackers have noticed. They have shifted their tactics from endpoint malware to the human–browser interface, exploiting trusted web sessions to steal credentials or sensitive data.

These are often invisible threats in plain sight. And yes, even using anonymous browsing or VPN mode doesn’t automatically block these attacks, since the malicious code rides along with the content. This article draws on recent reports and expert commentary to explain why everyday web activity has become an overlooked attack vector and what security leaders must do to defend it.

The Browser as an Operating System for Work

Most enterprise work now happens inside browser tabs. AI copilots, SaaS platforms and cloud consoles run there, making the browser a de facto operating system.

Yet most security programs still view it as an extension of network or endpoint controls, creating a blind spot. Menlo Security’s telemetry recorded a 50% jump in traffic to AI sites and found many employees using free AI tools and pasting sensitive data into them. Menlo’s CISO Devin Ertel cautions that while AI is essential, uncontrolled use “can create serious risks around data leakage”. If most work and AI prompts live in the browser, then so does the attack surface.

Shadow AI and Hidden Data Exposure

Unsanctioned accounts compound the danger. Keep Aware’s telemetry found that “nearly half of all sensitive data uploaded to SaaS applications didn’t go to verified corporate accounts.” 46% of sensitive file uploads flowed to personal or unverified accounts. This concern extends beyond data leakage. As discussed in RSAC's Navigating the Shift to AI Agents, organizations are moving from AI assistants to AI agents capable of taking actions across enterprise systems, increasing the importance of governance, identity controls, and monitoring.

Many executives still look to endpoints and email when asked where data‑loss risks live, yet legacy DLP tools cannot distinguish a corporate Google Drive session from a personal one. Keep Aware notes that only the browser can know, at the moment of input, whether a user is logged into the right tenant. With unsanctioned AI usage, sensitive data leaves through everyday web sessions.

Identity‑Based Attacks and DBIR Insights

The 2026 Verizon DBIR shows how often breaches hinge on identities. Vulnerability exploitation appears to have overtaken credential abuse as the top single initial access vector, but Push Security points out that identity‑based attacks are split across phishing, credential abuse and pretexting.

Combined, they account for roughly a third of breaches similar to vulnerability exploitation and credential theft appear at some stage in 39% of incidents. Social‑engineering attacks are also moving off email: 41% arrive via search results, social media or voice calls. These figures underscore that identity‑driven attacks thrive in browsers even as vulnerability exploits surge.

Attack Tactics Hiding in Plain Sight

Attackers are increasingly exploiting the browser layer because it offers a direct path to users, identities, and cloud applications. Phishing pages designed to imitate trusted SaaS platforms, malicious browser extensions, and sophisticated social-engineering campaigns now blend seamlessly into legitimate web activity, making them difficult for traditional security controls to detect.

This visibility gap is reflected in the Verizon DBIR's analysis of the ClickFix campaign. While the report identified the technique in only 2.7% of attacks, browser-focused security research suggests it appears far more frequently in real-world environments. The discrepancy highlights a broader challenge: without insight into what is happening inside the browser, including scripts, session tokens, and extensions, security teams may miss the very threats that attackers increasingly rely on to gain access and maintain persistence.

Securing Web Activity

Securing web activity requires organizations to focus on where users interact with data, applications, and identities every day: the browser. As web-based work becomes the norm, security teams must reduce visibility gaps by implementing controls that extend directly into the browsing environment. This includes adopting secure enterprise browsers or browser isolation technologies, continuously monitoring authentication activity, evaluating browser extensions, and integrating browser telemetry into existing security operations workflows.

These capabilities help detect session hijacking attempts, prevent unauthorized data transfers, and provide deeper insight into user behavior. Complementing these measures with identity-centric protections such as phishing-resistant multifactor authentication, least-privilege access controls, and short-lived credentials can significantly limit the impact of compromised accounts and reduce attackers' ability to move laterally within the environment.

Policy also matters. Ertel’s guidance to govern AI use rather than ban it underscores the need to align security with productivity. Provide employees with approved AI services, teach them to verify URLs and consent prompts, and enforce guardrails so data doesn’t leave corporate tenants. Bateman’s warning reminds us that awareness alone cannot match the speed of automated attacks; automated detection and browser‑native controls must shoulder the load, letting employees focus on their jobs.

Invisible threats have migrated into the browser because that is where modern work and AI interactions occur. Almost half of the investigated intrusions involve browser activity, and most breaches still hinge on human error and credential abuse.

Yet many organizations worry about AI‑driven data leaks without plans to mitigate them. Security leaders must elevate the browser to a first‑class security domain by adopting secure browsers, identity‑centric controls and governance of AI usage. Focusing defenses where work actually happens will close the visibility gap and help thwart the sophisticated threats hiding in plain sight.

Contributors
Michael Chukwube

Co-Founder, StartUp Growth Guide

Blogs posted to the RSAConference.com website are intended for educational purposes only and do not replace independent professional judgment. Statements of fact and opinions expressed are those of the blog author individually and, unless expressly stated to the contrary, are not the opinion or position of RSAC™ Conference, or any other co-sponsors. RSAC Conference does not endorse or approve, and assumes no responsibility for, the content, accuracy or completeness of the information presented in this blog.


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