Shadow AI assessment
Generative AI carries both promises and perils – improved productivity, but also data privacy, reputation, and IP infringement risks among others. Know what GenerativeAI services are currently used by your end-users, risk classification of these services and receive actionable recommendations for improvements.
Your business challenges
"Put simply, shadow AI is when staff bolts AI tools onto their work systems to make life easier, unbeknown to management. This quest for efficiency is, in most cases, well-intentioned, but it’s opening companies up to a new realm of cybersecurity and data privacy issues. ”
Our Solution
Are you a medium or large business concerned about cybersecurity and privacy risks posed by uncontrolled usage of generative Al tools like ChatGPT, Bard, and others? Even if you have software asset management in place, most GenAl tools slip through them as they are entirely browser-based without local software installed on endpoints. This offer is tailored for you to assess current usage of the latest GenAl solutions across your company.
Our standard delivery process:
- 1-month engagement.
- Deployment of Microsoft Defender for Cloud Apps.
- Integration with existing Microsoft Defender for endpoints.
- Data collection (2 weeks).
- Project closure meeting - final report review.
Engagement checklist and structure
1. Planning
- Kickoff meeting, pre- requisites check (MS Defender for Endpoints
licensing and config) - Activate trial licenses if required
- Acquire permissions to access customer tenant
2. Deployment
- Go to security.microsoft.com and ensure Settings > Endpoints > General > Advanced features > Microsoft Defender for Cloud Apps toggle is On. Check prerequisites!
3. Collect and Analyze
- Twice per week check ingest on security.microsoft.com
- After 2 weeks of data collection, export data and prepare assessment report
4. Present
- Project closure meeting - final report discussion and next steps
Your benefits and deliverables
Deliverable – AI roadmap, including:
- GenerativeAI compliance assessment report:
- List of identified GenAI services
- List of users per service, including total volume, upload volume and number of transactions
- Risk classification for each service identified
- Traffic volume per risk group
- Vendor geographies (HQ)
Benefits:
- Visibility - who is using what GenAI tools in your company
- More than 400 GenAI services in catalog (and growing), including purely browser based that are not visible to conventional software asset management solutions
- Risk classification for identified GenAI services based on general. security, compliance and legal criteria
- Usage data to enable most efficient procurement decisions and internal policies and instructions improvement process
We are ready to tell you more
Why us?
Our suite of competencies in artificial intelligence, cybersecurity, and infrastructure capabilities, allows us to provide our customers with full support throughout the solution lifecycle – from design to operations.
Augmented by vendor partnerships, we ensure the design, development, and operations of sustainable GenAI solutions.
Shadow AI assessment for enterprise security
While Generative AI offers powerful opportunities for innovation and productivity, it also introduces significant risks to data privacy, intellectual property, and overall security. A rapidly growing challenge is "Shadow AI"—the use of unapproved AI tools by employees outside the visibility and control of IT and security teams. Squalio offers a specialized assessment to help organizations discover and manage these risks. By leveraging unique, combined expertise in AI, cybersecurity, and IT infrastructure, we provide the visibility and strategy needed to ensure the safe, transparent, and productive use of AI across your business.
Frequently asked questions
