LightBeam Brings its AI Security and Governance Capabilities to Microsoft Copilot
The new features are part of LightBeam’s Summer 2025 Release, which is available immediately. They include enhanced data governance controls to safeguard regulated data and prevent AI-driven exposure, as well as built-in ransomware protection designed to detect and contain mass encryption or deletion events triggered by insiders, AI agents, or other attacks.
Wes Kennedy
As Microsoft Copilot continues to gain millions of customers worldwide, AI security and governance vendor LightBeam.ai has unveiled new capabilities to better protect Copilot users against ransomware and insider threats in real time.
The new features are part of LightBeam’s 2025 Summer Release, which is available immediately. They include enhanced data governance controls to safeguard regulated data and prevent AI-driven exposure, as well as built-in ransomware protection designed to detect and contain mass encryption or deletion events triggered by insiders, AI agents, or other attacks.
Other updates include User & Entity Behavior Analytics (UEBA) to monitor high-risk behavior from users, service accounts, and Copilot sessions, along with access review automation that continuously validates and remediates file access across Microsoft SharePoint, Teams, Google Drive, and SMB shares. These tools are aimed at protecting sensitive permissions across companies and accounts.
Mike Gesnaldo, LightBeam’s chief revenue officer, told ChannelE2E that the enhancements were introduced because Copilot is being adopted at scale, yet most organizations lack visibility and control over how it interacts with sensitive data.
“As channel partners know, this creates a massive unmanaged risk for customers, especially in regulated industries,” Gesnaldo said. “Our product closes that gap by giving partners a way to secure Copilot from day one.”
Using LightBeam to Secure Copilot
Businesses and channel partners have been pressing for solutions to these security concerns, Gesnaldo added. “Partners tell us their customers want the productivity of Copilot without the risk of regulated data being exposed, leaked, or involved in a breach. This has become one of the top security governance questions in Microsoft 365 environments. LightBeam delivers this in a way that integrates seamlessly into the Microsoft ecosystem, giving partners a compelling, differentiated capability to take to market.”
The new release was designed with MSPs and resellers in mind. “Partners can bundle LightBeam into their Microsoft 365 security stack, adding high-value AI governance capabilities to their portfolio with minimal deployment effort,” Gesnaldo said.
LightBeam is available as an on-premises deployment through Azure, AWS, or Google Cloud Platform, or as a SaaS offering.
Safeguarding Against Shadow AI Threats
While many organizations are formally adopting AI, others are using unauthorized “shadow AI,” including agentic AI systems that operate autonomously across workflows, creating significant risks.
“AI adoption is outpacing security planning, and Copilot is just the first wave,” Gesnaldo said. “These agents can inherit broad permissions, move data, and trigger downstream actions without human oversight, creating new forms of insider risk. LightBeam equips MSPs to address this immediately by giving them visibility and control over both sanctioned and unsanctioned AI activity. This not only deepens customer relationships but positions partners to capture a rapidly expanding market over the next 12 to 24 months.”
LightBeam Provides a ‘Turnkey’ Answer: Channel Partner
Jim Finn, vice president of the cyber practice for technology services and solutions provider Presidio, a LightBeam partner, said his company is hearing from customers eager to deploy Copilot while worried about data control.
“LightBeam gives us a turnkey way to offer AI security without reinventing our service model,” Finn said. “It plugs into our existing Microsoft 365 management workflows and lets us deliver a high-value, high-margin solution. Every CIO and CISO we speak to wants Copilot’s productivity gains but fears the compliance and data exposure risks. Until now, we did not have a dedicated tool to address those concerns.”
By adding LightBeam, Presidio can address those threats more effectively, Finn said. “We’ve seen how quickly AI tools can bypass traditional security. With LightBeam, we can prevent data loss from AI interactions, show measurable governance improvements to our clients, and open new recurring revenue opportunities. It’s a win for our customers and for our bottom line.”
LightBeam in a Crowded Field: Analyst
As Copilot adoption grows, the challenge is that it and other AI tools “fundamentally change how users interact with sensitive data, creating new pathways for exposure and exfiltration,” said Anurag Agrawal, founder and chief global analyst at Techaisle.
“LightBeam’s approach of combining behavioral analytics with real-time monitoring is a logical step, but the industry has seen similar promises before. Its ultimate impact will depend on how effectively it can distinguish between benign and malicious AI-driven activities without creating excessive operational noise for security teams.”
So far, “LightBeam appears to be an early mover in offering a product specifically tailored to Copilot governance, integrating it with capabilities like UEBA and ransomware containment,” Agrawal said. “However, it is too early to call them a leader. They face competition from two sides: major platform providers like Microsoft, which will build more security into their offerings, and established data security players adapting their existing tools. LightBeam’s challenge will be to differentiate itself and prove its approach is more effective than alternatives.”
For MSPs and channel partners, the latest LightBeam features “represent a potential new service line, but one that comes with prerequisites,” Agrawal added. “It allows them to start conversations with clients about the risks of generative AI, which is a timely topic. But adding this to their service catalog will require investment in training and new expertise. The early market will likely be limited to the most security-mature or early-adopter clients. The broader opportunity depends on whether this kind of specialized AI security becomes a mainstream budget item for mid-market customers.”