One of the most dangerous attack vectors today isn’t external. It rode in along with the productivity tool that an employee installed last week.
Shadow IT refers to software, hardware, or cloud services that are installed without IT department knowledge or approval. These are often familiar tools, apps, and browser extensions that employees add with the best of intentions, but without IT oversight, they can create significant security vulnerabilities.
This is not a fringe risk. If your organization hasn’t already addressed this, your security perimeter is likely compromised.
According to Cisco, 80% of employees use software that hasn’t been cleared by IT. Surprisingly, 83% of IT staff also admit to using unsanctioned software or services. It’s clear that most enterprises, and sometimes the IT teams themselves, don’t fully understand the scope or risks of shadow IT within the organization.
Cloud-based tools have made it easier than ever before for end users and teams to adopt new software without going through IT. They’re typically added when the tool’s functionality makes collaboration or project completion easier.
Browser extensions, SaaS tools, and increasingly, generative AI applications are opening the door to data breaches, compliance violations, and other cybersecurity issues. As internal exposure points increase, vulnerability expands.
Exposure from:
These are all difficult, if not impossible, for IT teams to discover, monitor, and protect against using traditional asset management systems. Dealing with shadow IT requires a reframing of cybersecurity risk across the organization.
Shadow SaaS pertains to the unsanctioned software-as-a-service applications used by employees. These tools operate in the cloud and are easy for users to deploy quickly, often requiring only an email address.
With no installation and no IT touchpoints, these tools bypass the traditional security perimeter unvetted and are difficult for IT teams to detect and control. The risk is compounded when multiple unmanaged tools are shared across teams, and further magnified if those applications lack basic protections.
The majority of shadow SaaS applications are productivity tools chosen to improve processes or fill gaps in remote work. Additionally, clients may invite employees to join these services in order to collaborate on projects.
But without compliance checks or review, every unapproved, unacknowledged SaaS tool expands the organization’s attack surface.
Browser extensions seem like innocent additions, but they’re actually one of the greatest risks. They sit within an individual’s browser and inherit that user’s permissions, leaving no footprint in IT monitoring systems.
Browser extensions rarely come up in governance conversations, but the wide access they’re granted opens a scope of exposure far greater than most organizations realize.
Because they install quickly and operate inside of trusted sessions on familiar tools, they seem innocuous. The truth is that many browser extensions carry broad permissions that would alarm legal and compliance teams if they knew.
The requested access often goes beyond their primary purpose, such as requesting permission to “read and change all your data on all websites”. This provides access to sensitive information like passwords, credit card numbers, chat logs, personal files, and webcams for credential harvesting and data scraping.
And extensions update silently, introducing new risks long after initial installation.
Having a remote workforce doesn’t necessarily increase shadow IT risks, but can accelerate them.
Employees working from home have a greater comfort with their personal devices and networks, further reducing control. They often rely on self-selected tools with less scrutiny of what is, or is not, approved by the organization they’re working for.
Educating your team and establishing clear policies that set boundaries between work and personal activities on devices, including differentiating work applications, will help reduce the risk.
As AI adoption accelerates, shadow AI has emerged as a significant cybersecurity challenge, and it’s growing at an alarming rate. Shadow AI data exposure poses a higher risk level because the technology interprets and autonomously acts on data, rather than just storing it.
A new report from The Center for Internet Security, Inc. (CIS) warns that prompt injection attacks are a serious threat to organizations using generative artificial intelligence. Prompt injection attacks manipulate GenAI and LLMs to engage in malicious behavior, leading to complete local machine or codebase compromise.
Cyber threat actors test prompt injection attacks to gain unauthorized system and network access, steal sensitive information, and change how LLMs and their agents operate.
[Text Wrapping Break][Text Wrapping Break]The report stresses that protection entails carefully controlling which data and systems AI tools can access and establishing acceptable use policies, rather than simply securing the AI model itself.
For your IT team, out of sight means out of secure control, and they are literally flying blind here, as shadow tools evade detection.
Browser-based activity is difficult to monitor using traditional security-based tools, and IT leaders have limited visibility into employee browser activity. SaaS tools operate outside of the corporate network, and remote work further dissolves secure boundaries. No logs, no alerts, no control.
To further compound the issue, end users don’t always understand the importance of updates and may miss critical security fixes and patches for the tools they’re using.
Your IT team can’t protect the organization from threats that they don’t know exist, and security strategies haven’t evolved as fast as recent technology.
Security teams can improve the visibility gap by auditing the environment and identifying browser extensions, SaaS, and AI tools in use across endpoints and cloud environments. They can also deploy real-time monitoring tools that alert when unsanctioned software is installed or sensitive data is at risk.
If your organization’s IT team lacks the bandwidth or expertise to identify and remediate these shadow IT threats, you may consider working with a freelance Certified Ethical Hacker (CEH).
You can find experienced, vetted professionals for hire on demand through talent networks like Toptal, recently ranked the No. 1 most reliable professional services company in America.
When you hire a freelance ethical hacker, they’ll approach your organization from the attacker’s perspective using the same reconnaissance techniques as malicious actors. This includes probing for extension permissions, testing OAuth token exposures, and mapping unseen integrations that may bypass security controls.
These white-hat professionals are trained to find what others miss and will turn your blind spots into a documented, prioritized remediation list for your team. It’s a fast, targeted way to regain visibility and strengthen your cybersecurity health.
For organizations with remote workforces or unmanaged SaaS environments, scheduling periodic, ongoing ethical hacking engagements is a smart investment. This adds an independent layer of scrutiny that internal teams can’t objectively provide and helps IT teams close security gaps without disrupting workflows.
Most employees don’t have the knowledge to make informed, risk-based decisions about applications; they just want tools that help them do their job well.
The important takeaway here is that your team needs greater agility from their IT. Their choices are not malicious; they are simply unmanaged.
Some organizations are putting their energy into aligning with shadow IT rather than trying to prohibit it. In addition to offering tool recommendations and risk training for employees, they’re implementing cybersecurity technologies, like attack surface management tools, to discover and identify shadow IT when it’s adopted, so it can be evaluated for vulnerabilities.
Productivity and security should not be at odds, but the growing presence of AI assistants, browser extensions, and SaaS tools creates complex cybersecurity risks.
Balanced, proactive solutions to reduce shadow IT across an organization include:
By gaining shadow IT visibility, remediating security gaps, and deploying real-time monitoring tools, organizations can prevent issues while allowing their employees more flexibility.
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