Secure AI Use Across Users, Applications, and Business Workflows
Generative AI, copilots, AI-enabled applications, and autonomous agents can improve productivity and automate work. They can also introduce new security, privacy, and governance risks.
Our technology advisors can help you assess those risks and identify solutions that provide greater visibility and control over enterprise AI use.
Do You Know How AI Is Being Used Across Your Business?
AI adoption can happen faster than IT teams can create policies and security controls. Employees may adopt AI tools to write content, analyze documents, generate code, summarize meetings, or automate everyday tasks. At the same time, business applications are rapidly adding embedded AI features.
- Employees using unapproved AI tools
- Sensitive data entered into AI prompts
- Limited visibility into AI application usage
- AI features added to existing SaaS applications
- Inconsistent AI policies across departments
- Limited monitoring of prompts and responses
- AI agents accessing business systems
- Difficulty enforcing acceptable use policies
- Sensitive data exposure
- Intellectual property loss
- Compliance concerns
- Unauthorized access to business information
- Inconsistent AI governance
- Greater third-party risk
- Security gaps across AI workflows
- Loss of control as AI adoption expands
Organizations need a way to support AI adoption while protecting sensitive data and managing risk.
AI Security Services
Gain Visibility and Control Over Enterprise AI Use
Our advisors can help you assess AI security risks and identify solutions that protect users, data, applications, and AI workloads.
Shadow AI
Discover and assess AI applications being used across the organization.
Data Protection
Help prevent sensitive and proprietary information from being exposed through AI tools.
AI Governance
Establish policies, oversight, access requirements, and responsible AI practices.
AI Application Security
Protect AI-powered applications from prompt-based attacks, unauthorized access, and data exposure.
AI Agent Security
Control what autonomous AI systems can access, execute, and change.
Uncover Shadow AI
Find the AI Tools Your Employees Are Already Using
Shadow AI occurs when employees use AI tools without formal approval or IT oversight. Employees might upload documents to an AI assistant, use AI-powered development tools, or connect AI applications to business workflows without understanding the security implications.
AI security solutions can help organizations discover AI applications, identify users, assess application risk, and distinguish between approved and unapproved tools.
You can't secure AI use you can't see.
Protect Sensitive Data From AI Exposure
Know What Information Is Being Shared With AI Tools
Employees can unintentionally expose sensitive information while using generative AI.
Customer information, financial records, internal documents, intellectual property, source code, and other business data can be copied into prompts or uploaded to AI applications.
AI Data Security Capabilities
- Sensitive data identification
- Prompt monitoring
- File upload controls
- Data loss prevention policies
- User and application-based controls
- AI activity logging
Organizations need security controls that understand both AI application use and the data involved in those interactions.
Secure the AI Applications You Build
Protect AI Systems From New Types of Attacks
Organizations developing AI-powered applications, copilots, and agents must account for threats that traditional application security controls may not fully address.
AI application security architecture protecting models, data, and business systems
- Prompt injection
- Indirect prompt injection
- Jailbreak attempts
- Unauthorized data access
- Sensitive information leakage
- Malicious inputs
- Inspect AI interactions
- Apply access controls
- Limit data access
- Monitor abnormal behavior
- Log AI activity
- Maintain human oversight
As AI systems gain access to more business data and applications, security teams must think beyond protecting the model itself. They also need to secure the actions AI can take.
AI Agent Security
Control What AI Agents Can Access and Do
Unlike traditional AI assistants, AI agents can take actions. Depending on their permissions, they can access files, interact with applications, call APIs, update records, and automate business processes.
That makes identity, permissions, and oversight especially important.
Build Guardrails Around AI Agents
- Agent identity
- Application access
- Data permissions
- API connections
- Read, write, and execution privileges
- High-risk action controls
- Human approval requirements
- Agent activity monitoring
Apply least-privilege principles to AI agents just as you would to human users.
AI Governance
Establish Clear Policies for Responsible AI Use
As AI adoption expands, organizations need clear rules defining which AI applications are approved, who can use them, what information can be shared, and where human oversight is required.
- Approved AI applications
- Acceptable use policies
- Data handling requirements
- User roles and permissions
- Human review requirements
- AI vendor standards
- Monitor policy compliance
- Assess changing AI risks
- Review third-party AI providers
- Address regulatory requirements
- Maintain AI inventories
- Update policies as AI use changes
Good AI governance creates the structure needed to adopt AI without giving up control.
How We Help With AI Security
Find the Right AI Security Solutions for Your Business
The AI security market is changing quickly. Our technology advisors can help you evaluate your current environment, identify security gaps, and compare solutions based on your business and technical requirements.
Our technology advisors can help you:
Assess AI Risk
Evaluate AI use, data exposure, security concerns, and governance requirements.
Compare AI Security Solutions
Identify and compare AI security technologies based on your requirements.
Build an AI Security Roadmap
Prioritize AI security and governance initiatives based on risk and business goals.
Support Implementation
Connect with specialized providers and professional services resources for deployment and ongoing support.
Why Stratosphere?
We simplify complex technology decisions by helping clients assess requirements, compare providers, and identify solutions that align with their business, security, and AI strategies.
Technology Assessment → Provider Selection → Implementation Support → Ongoing Advisory
This is more consistent with Stratosphere's existing trusted advisor positioning around assessing needs, comparing providers, supporting deployment, and providing ongoing guidance.
Next Steps
Gain Control of AI Before AI Use Outpaces Your Security Strategy
Understand how AI interacts with your users, data, applications, and business systems. Our advisors can help you assess your risks and identify solutions that support secure AI adoption.
Speak With an AI Security AdvisorSchedule a consultation to discuss your AI security and governance requirements.
Schedule a MeetingFrequently Asked Questions About AI Security
AI security involves protecting AI applications, data, users, and workflows from security threats and unauthorized activity. It can include AI application discovery, data protection, access controls, prompt monitoring, policy enforcement, and protection against attacks that target AI systems.
Shadow AI is the use of AI applications or tools without formal approval or oversight from an organization's IT or security team. It can create data security, governance, and compliance concerns.
Yes. Employees can unintentionally share sensitive business information by entering data into AI prompts or uploading files to AI applications. AI security controls can help identify and restrict risky data sharing.
Prompt injection is an attack that attempts to manipulate an AI system with instructions designed to change its behavior. These instructions can come directly from a user or indirectly from content processed by an AI application.
AI agent security should include strong identity controls, least-privilege access, data restrictions, activity monitoring, and additional approval requirements for high-risk actions.
Our technology advisors can assess AI security requirements, help identify security gaps, compare AI security providers, and connect organizations with specialized implementation and professional services resources.