78%
of organizations report AI systems accessing sensitive data without proper controls
IBM Security AI Report 2024
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GenAI security gaps are widening.
Organizations are racing to adopt AI while security frameworks lag behind.
The window to secure your AI is closing fast.
92%
of enterprises lack comprehensive AI security policies
Deloitte AI Governance Survey 2024
156%
increase in AI-related security incidents since 2022
Cybersecurity Ventures Report 2024
64%
of AI models trained on data containing personally identifiable information
MIT Technology Review 2024
Don't become another statistic.
In today's modern workspace,
everyone has their own AI helper.
Without proper security, every GenAI interaction could open the door to devastating breaches.
Prompt Injection
Hackers can twist your GenAI tools to disable safety and expose data.
!
Data Poisoning
Attackers can inject harmful data to corrupt a model during training or input.
⚠
AI Misalignment
AI systems can pursue unintended goals with potentially harmful consequences.
→
Data Leakage
GenAI tools may accidentally disclose sensitive information and intellectual property.
These are just a few examples of GenAI vulnerabilities. See how CodeIntegrity covers OWASP's Top 10 LLM vulnerabilities and more.
Stay ahead of emerging threats.
Get the latest insights on AI security vulnerabilities and cybersecurity developments.
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