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WEBINAR

Stop Employee Data Exfiltration with AI

Microsoft

Copilot

AI adoption accelerates but creates dangerous blind spots in data protection. We eliminate those gaps.

Microsoft AI interactions stay secure with Ridge Security Lab’s advanced threat protection.

Lock it down.

Microsoft AI Copilot Secure Prompting in Tampa
15
minute response time

Intelligent Context

Decode every transaction.

Netskope inspects web traffic and cloud services with deep context understanding, analyzing transactions in real-time.

Adaptive Controls

Smart access policy decisions.

Transaction event streaming and user risk scoring enables adaptive access policies based on context in use.

Advanced Protection

Seamless productivity.

Leading data protection policies and DLP with advanced threat protection maintain seamless user productivity.

Visual Intelligence

See unknown risks clearly.

Visualizations reveal app trends, user behaviors, data movement, and unknown risks with context that traditional logs miss.

#1
managed cybersecurity

Frequently Asked Questions

Microsoft Copilot

What about the new Microsoft AI agents – how do they work with security?

Agents serve very specific purposes and integrate with existing business systems like ServiceNow, Salesforce, or Jira. Many third-party vendors already provide first-party agents in Microsoft's agent store. Organizations can also build custom agents for specific databases or workflows, with granular user group access controls. Future development includes agent-to-agent communication for more complex automated workflows. Our Microsoft AI agent security framework ensures safe custom agent deployment.

What training resources does Microsoft offer for SharePoint Advanced Management?

Microsoft offers training courses and documentation through their Learn platform and technical blogs. Search for "SharePoint Advanced Management" in Microsoft's official documentation. Additionally, various third-party training providers offer specialized courses on data governance and SharePoint security configuration. Our managed IT training programs provide hands-on SharePoint Advanced Management expertise.

When Copilot fetches data from SharePoint and OneDrive through Microsoft Graph, can other users’ emails or files be leaked?

No, Copilot maintains user context boundaries. Users cannot see other users' emails, OneDrive files, or private content through Copilot unless they already have explicit permissions. Users can only reference content from their own inbox, sent items, or shared resources where they've been granted access through normal Microsoft 365 permission structures. Our Microsoft security architecture maintains strict data isolation.

Why is my sensitivity labeling button grayed out in Word when I have a Copilot license?

This is typically a configuration issue, not a licensing problem. First, click in the document body to ensure focus is properly set. If the button remains grayed out, check for policy settings that may have disabled the feature either in the client application or from the backend administration settings. Our configuration services resolve these technical implementation issues.

How can I restrict the Graph to prevent sensitive emails from being leaked through Copilot?

Copilot operates within user context boundaries. Users cannot access other people's emails, meetings, or Teams chats through Copilot unless they already have explicit access (like being included in conversations or having delegated permissions). Copilot only accesses data the user already has permission to see within their own mailbox and shared resources. Our Microsoft Graph security controls ensure proper access boundaries.

We don’t have E5 licenses but use ChatGPT and are testing Copilot. What are our risk mitigation options?

SharePoint Advanced Management (SAM) is the first option - it's free if you have Copilot licenses, or available as a trial add-on if you don't. SAM provides health checks for SharePoint sites and permissions regardless of E5 licensing. While E5 gives you 95% of Purview capabilities, E3 users can purchase specific add-ons for certain Purview features, though buying multiple add-ons often makes E5 more cost-effective. Our licensing optimization services help determine the most cost-effective approach.

Will Microsoft Purview and DLP policies work with other AI models beyond Copilot?

Absolutely. If building AI solutions with Azure Foundry or other models within the Microsoft ecosystem, Purview capabilities apply across all Microsoft workloads. All classification, labeling, and data governance features available with Microsoft 365 Copilot extend to broader Azure components and custom LLM implementations that leverage Microsoft Graph. Our Microsoft security integration covers the complete AI ecosystem.

This seems really complicated. Can managed service providers help with Copilot implementation?

Yes, experienced managed service providers like Ridge IT can handle the complexity of Copilot security implementation. Organizations working with defense contractors or highly classified environments often have the specialized knowledge needed for Microsoft permission systems and data governance. The key is partnership - technical expertise must be combined with deep understanding of specific business data requirements.

What’s the safest way to roll out Copilot to multiple teams without rushing it?

Focus on business personas rather than IT infrastructure teams first. Avoid distributing Copilot licenses primarily to IT staff, as they use AI differently than sales and marketing teams. Before rollout, conduct a health check using SharePoint Advanced Management (SAM) to assess data classification and governance. Start with site permission reviews and implement Purview solutions to address data security proactively. Our managed IT approach ensures secure phased implementation.

Can Copilot leak data into the model or generate something sensitive by accident?

No, Copilot does not train on organizational data or leak information into the model. Each organization has their own instance of the AI and Large Language Model (LLM). Customer A's LLM is completely separate from Customer B's LLM. Copilot consists of three components: the LLM, semantic index, and Microsoft Graph, but all data stays within the organization's instance and is never used for training purposes. Our Microsoft AI security framework ensures complete data isolation.

How can organizations tune M365 Copilot to reduce security risks while maintaining functionality?

Emerging threats include sophisticated prompt injection attacks designed to extract sensitive data, AI model poisoning attempts through malicious training data, and social engineering attacks specifically targeting AI interactions. Threat actors are developing Microsoft AI-specific attack techniques including conversation hijacking, context manipulation, and automated data exfiltration through AI responses. We detect and prevent these sophisticated AI-targeted attacks. https://www.youtube.com/watch?v=rAg64tgoW6U

Copilot Security Risks Organizations Face

The core problem: Microsoft Copilot honors existing SharePoint permissions while dramatically expanding data discovery through AI-powered search and correlation. Minor permission oversights become major Microsoft AI security breaches.

Microsoft's Proven Copilot Security Framework

Rather than blocking Microsoft AI deployment, the Cloud Solution Architect recommends systematic Copilot security implementation that enables confident artificial intelligence adoption.

Phase 1: Microsoft AI Security Assessment

Engage Microsoft 365 administrators including SharePoint, Compliance, and Copilot security teams for comprehensive AI protection coverage.

Define Microsoft AI sensitivity standards by establishing clear Copilot data classification criteria that prevent artificial intelligence overexposure.

Discover Copilot data access patterns using SharePoint Data Access Governance reports to identify Microsoft AI security vulnerabilities.

Phase 2: Copilot Security Implementation

Prioritize Microsoft AI data protection by securing the most sensitive Copilot-accessible information first through targeted artificial intelligence security controls.

Deploy Microsoft Purview solutions that provide ongoing Copilot security rather than one-time Microsoft AI protection fixes.

Ready for Secure Microsoft AI Implementation?

Don't let Copilot security concerns delay competitive advantages through Microsoft AI adoption. Proven artificial intelligence frameworks enable confident deployment with comprehensive data protection. Protect AI Tools

How can organizations tune M365 Copilot to reduce security risks while maintaining functionality?

Effective M365 Copilot tuning involves configuring content filters, implementing context-aware security policies, and establishing user-specific permission boundaries. Organizations should customize agent responses to avoid sensitive information exposure, implement prompt injection detection, and create secure interaction patterns. We tune Copilot securely and optimize ongoing protection.

What compliance challenges do Microsoft AI Agents create for regulated industries?

AI Agents introduce compliance complexities around data residency, audit trail requirements, and regulatory approval processes. The M365 Copilot API can create data flows that violate industry regulations if not properly configured. Healthcare, financial, and defense organizations face particular compliance challenges with agent-generated content and automated decision-making processes. We address regulatory requirements for AI implementations.

How should organizations govern and secure agents from the Agent Store?

Agent Store deployments require careful vetting of third-party agents, implementing strict permission controls, and continuous monitoring of agent behavior. Organizations must establish approval workflows, conduct security assessments of agent capabilities, and maintain audit trails of all agent installations and interactions. We secure agent deployments and manage all permissions.

What are the biggest data leakage risks with Microsoft Copilot interactions?

The primary data leakage risks include employees accidentally sharing sensitive information in prompts, Copilot responses containing confidential data from connected systems, and unauthorized data access through poorly configured agent permissions. Code Interpreter functions can expose proprietary algorithms, while CUA (Conversational User Authentication) bypasses may grant excessive access. We prevent data loss across all AI interactions.

How can organizations secure Copilot Studio deployments and custom agents?

Securing Copilot Studio requires implementing proper authentication controls, restricting agent permissions through the M365 Agent SDK, and monitoring all agent interactions for suspicious activity. Organizations must configure secure agent flows, implement deep reasoning prompt validation, and establish governance frameworks for custom agent development. We protect Copilot Studio environments with comprehensive security controls. https://www.youtube.com/watch?v=i0QVChPtYIk

How To Survive LinkedIn Attacks

The stakes couldn't be higher as attack patterns evolve dramatically. In one recent incident documented by SlashNext, attackers launched 1,165 emails at just 22 target mailboxes within 90 minutes—over 50 messages per user—attempting to overwhelm inboxes and trigger panic-clicking. These rapid-fire tactics create the perfect environment for follow-up attacks through alternative messaging channels, bypassing traditional email security entirely. Our military-grade protection framework identifies these cross-platform attack patterns before they can compromise your organization.

Modern security requires integrated protection across all communication channels. Our military-grade email protection extends beyond the inbox to secure the entire messaging landscape. By deploying The ONE Platform, organizations gain visibility into blind spots that traditional solutions miss. Ready to eliminate these vulnerabilities in your security architecture? Schedule your assessment today and discover how our integrated approach prevents sophisticated attacks before they start.

Ready to Launch Cross-Platform Security?

Transform your approach to data protection from reactive blocking to proactive guidance. Secure the perimeter

What security risks do Microsoft 365 Copilot and AI Agents introduce?

Microsoft 365 Copilot and AI Agents create new security risks. The attack vectors include data leakage through prompt injection, oversharing of sensitive information in AI responses, and unauthorized access to organizational data through compromised AI interactions. The Researcher and Analyst agents can inadvertently expose confidential business intelligence if not properly secured. We secure Copilot and identify these vulnerabilities before they become breaches.

https://www.youtube.com/watch?v=i0QVChPtYIk

How To Survive LinkedIn Attacks

The stakes couldn't be higher as attack patterns evolve dramatically. In one recent incident documented by SlashNext, attackers launched 1,165 emails at just 22 target mailboxes within 90 minutes—over 50 messages per user—attempting to overwhelm inboxes and trigger panic-clicking. These rapid-fire tactics create the perfect environment for follow-up attacks through alternative messaging channels, bypassing traditional email security entirely. Our military-grade protection framework identifies these cross-platform attack patterns before they can compromise your organization.

Modern security requires integrated protection across all communication channels. Our military-grade email protection extends beyond the inbox to secure the entire messaging landscape. By deploying The ONE Platform, organizations gain visibility into blind spots that traditional solutions miss. Ready to eliminate these vulnerabilities in your security architecture? Schedule your assessment today and discover how our integrated approach prevents sophisticated attacks before they start.

Ready to Launch Cross-Platform Security?

Transform your approach to data protection from reactive blocking to proactive guidance. Secure the perimeter

AI Security

What questions should I ask my security vendors about AI threat detection?

As AI-powered attacks evolve, you need to ensure your cybersecurity vendors are prepared.

Ask them:

  1. Are you using distributed AI or still relying on a single large model?
  2. How do you detect attacks across multiple communication channels?
  3. Do you analyze code execution when web pages load in browsers?
  4. Can you detect unusual message frequency patterns like subscription bombing?
  5. How do you handle encrypted cloud app abuse through services like DocuSign?

Our Zero Trust Architecture, with AI threat detection, protects even the most complex environments against emerging AI-powered threats.

How can I protect my organization from LinkedIn-based attacks?

With a 245% surge in LinkedIn-based attacks, organizations need dedicated protection strategies. Start by creating clear policies for external communication, implement security awareness training focusing on social media threats, deploy solutions that can monitor message patterns across platforms, and implement browser-level protection that analyzes code execution when pages load. Teams implementing our managed security infrastructure have reported significantly improved detection rates for LinkedIn-based attacks through our multi-channel threat monitoring capabilities.

When will we see fully automated AI generated attacks?

Based on dark web research and observed development patterns, we anticipate the first fully automated AI-generated attacks to emerge within the next 6-12 months. These will likely use chained Small Learning Models (SLMs) to research targets, craft personalized messages, and execute multi-channel attacks without human intervention. The affiliate structure of cybercriminal organizations means once this capability becomes available, it will rapidly proliferate across thousands of attackers simultaneously. Our clients leveraging The ONE Platform have already begun preparing their defenses for this next evolution of threats.

What security gaps exist in mobile device protection?

Mobile devices represent a significant blind spot in most security architectures. Traditional SSL inspection tools often break applications due to SSL pinning, leaving smartphones vulnerable to phishing attacks via SMS, social media, and messaging apps. As attackers increasingly target these channels—with a 187% increase in SMS phishing in 2024 alone—organizations need dedicated mobile protection solutions. Companies implementing our Zero Trust Architecture consistently report improved visibility into mobile threats that previously remained undetected in their security stack.

How realistic are AI-generated voice impersonations?

AI-generated voice technology has reached concerning levels of realism. Modern voice synthesis can create natural-sounding speech that mimics human conversation patterns, complete with natural pauses, filler words, and authentic intonation. These voices are increasingly capable of deceiving people on phone calls, particularly in high-pressure scenarios when combined with other social engineering tactics. Our clients implementing military-grade security services have found that cross-channel behavior analysis significantly improves their ability to identify these sophisticated voice-based social engineering attempts.

Why can’t my current security tools detect these cross-platform attacks?

Traditional security tools focus on specific channels rather than analyzing the complete attack chain across multiple platforms. When attackers start with email but shift to Teams, SMS, or phone calls, your siloed security solutions miss the complete picture. Additionally, most tools don't analyze code execution when web pages load, leaving your browser—essentially an operating system—vulnerable to sophisticated JavaScript attacks. Organizations deploying The ONE Platform have consistently reported improved detection rates for these multi-channel attacks, as it provides integrated protection that follows attackers across their entire kill chain.

How are attackers bypassing traditional email security?

Attackers have developed sophisticated techniques to evade standard email security, including shifting between communication channels (email to SMS to phone), hiding malicious content in legitimate cloud apps like DocuSign, using multiple redirectors to shake off security tools, implementing "Am I Human" verification pages that block security scanners, and embedding text inside images to bypass text analysis. Our clients have found that implementing Zero Trust Architecture principles significantly improves their ability to detect these cross-channel attacks by verifying every access request regardless of which communication platform it originates from.

What is Black Basta’s subscription bombing technique?

Black Basta has developed a sophisticated attack method using AI to sign victims up for hundreds of legitimate newsletter subscriptions, overwhelming their inbox for 30-90 minutes. This creates confusion and frustration, after which attackers contact targets through Teams messages or spoofed phone calls, impersonating IT support and offering to "fix" the email problem. Once victims download the supposed fix, their systems become compromised with ransomware. Organizations that trust us as their MSSP benefit from advanced frequency pattern analysis that detects and blocks these psychological smokescreens before they can establish a foothold in your environment.

How are attackers using Small Learning Models (SLMs) instead of LLMs?

Unlike large language models that require massive infrastructure, attackers are shifting to Small Learning Models (SLMs) that can run on a single gaming PC. This means they don't need data centers—they can operate completely anonymously using just a computer with a high-end graphics card like an NVIDIA 4080. These specialized AI models can be trained for specific attack tasks, chain together for complex operations, and operate with minimal footprint. Many of our clients have found that The ONE Platform's distributed AI detection capabilities provide the visibility they need across their entire messaging landscape to identify these emerging threats.

What are the emerging AI threats targeting messaging platforms?

Traditional cybersecurity has focused heavily on email protection, but attackers are now using AI to target communication channels beyond your inbox. We're seeing sophisticated AI tools like Xanthorox emerging as "the killer of WormGPT and all EvilGPT variants," designed specifically for offensive cyber operations across multiple messaging platforms. These new threats can analyze your personal data, craft highly convincing messages, and execute attacks with minimal infrastructure requirements. Our military-grade protection framework identifies these cross-platform attack patterns before they compromise your organization, something our clients find particularly valuable when implementing our managed IT solutions.

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