Generative AI Security Risks:
Protect Your Business
Before It’s Too Late
Generative AI is transforming how businesses operate from automating workflows to accelerating innovation. But with this rapid adoption comes a hidden danger: generative AI security risks that can expose sensitive data, compromise systems, and create compliance issues. Most organizations deploy AI tools without fully understanding the risks and attackers are already exploiting these gaps. At Canum, we help SMBs, SaaS startups, and enterprises identify, assess, and mitigate the security risks of generative AI before they impact your business. Our expert-led security assessment ensures your AI systems are secure, compliant, and production-ready.
ABOUT IT
What is a Generative AI Security Risk Assessment?
A Generative AI Security Risk Assessment is a comprehensive evaluation of vulnerabilities introduced by AI models such as LLMs (Large Language Models), AI APIs, and AI-driven applications.
Data leakage through prompts
Model manipulation and prompt injection
Unauthorized access to AI systems
Compliance and privacy violations
OUR METHODOLOGY
Our Process (Step-by-Step)
Discovery & AI Mapping
We analyze your AI tools, models, APIs, and integrations.
Risk Identification
Identify vulnerabilities across prompts, data flows, and access points.
Attack Simulation
Perform real-world simulations including prompt injection and misuse cases.
Data & Compliance Audit
Evaluate how your AI handles sensitive and regulated data.
Risk Scoring & Prioritization
Rank risks based on severity and business impact.
Remediation Strategy
Provide clear, actionable steps to fix vulnerabilities.
Continuous Security Guidance
Ongoing support to keep your AI systems secure as they evolve.
OUR RESULTS
Why Your Business Needs This Service
Needs This Service
Generative AI is powerful but without proper safeguards, it becomes a major liability. Here’s why businesses must address generative AI security risks:
Sensitive Data Exposure
AI tools can unintentionally leak confidential business or customer data.
Prompt Injection Attacks
Attackers manipulate AI inputs to extract or override critical information.
Compliance ViolationsAI
Compliance ViolationsAI misuse can break regulations like GDPR, HIPAA, or SOC 2.
Shadow AI UsageEmployees
Shadow AI UsageEmployees using unauthorized AI tools increase risk unknowingly.
Brand & Reputation DamageIncorrect
Brand & Reputation DamageIncorrect or harmful AI outputs can damage trust instantly.
INDUSTRIES SERVES
Industries We Serve
SaaS & Tech Startups
FinTech & Banking
Enterprise IT Organizations
E-commerce Platforms
Healthcare & HealthTech
KEY ADVANTAGES
Key Features & Benefits
AI Threat Modeling
Identify all potential attack vectors in your AI ecosystem
Prompt Injection Testing
Simulate real-world AI attacks
Data Leakage Analysis
Detect exposure risks in AI interactions
Access Control Review
Secure AI APIs and integrations
Compliance Mapping
Align AI usage with industry regulations
Model Behavior Testing
Evaluate unsafe or biased outputs
Custom Risk Report
Clear, actionable remediation plan
AI + Cybersecurity Expertise
Deep understanding of both AI systems and modern threat landscapes
Real-World Attack Simulation
Not theoretical we test like real attackers
Business-Focused Reporting
Clear insights, not technical jargon
Compliance-Driven Approach
Built for GDPR, SOC 2, HIPAA, and more
Fast Turnaround
Get actionable results without delays
FREQUENTLY ASKED QUESTIONS
AI Component Security Common Questions
Ready to Secure Your AI Systems?
Don’t wait for a breach to expose your vulnerabilities. Identify and eliminate generative AI security risks before they impact your business
Book your free consultation →
