Protecting AI from Adversarial Attacks

As artificial intelligence (AI) technologies and particularly Generative AI (Gen AI) continue to evolve, so do the threats they face. Adversarial attacks, which pose significant risks to AI models, can result in data leakage, model theft, and manipulation.

This whitepaper explores the necessity of protecting both traditional and generative AI models from various AI adversarial threats including model inference, extraction, evasion and injection, data poisoning, prompt injections and personal identifiable information (PII) leakage.

We outline the emerging risks, the methodologies of these attacks, and propose a robust framework for mitigating these threats to maintain the security and integrity of AI systems.

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Building a Future-Proof Enterprise Cybersecurity Posture with AI

In today's interconnected world, the threat landscape is constantly evolving, demanding proactive measures from organizations to safeguard their digital assets and maintain operational continuity. Cybersecurity teams are on the front lines of this battle, tasked with bolstering cyber resilience and mitigating cyber risks. To achieve these objectives, implementing strategic cybersecurity initiatives is crucial.

The ultimate objective of cybersecurity teams is therefore to implement cyber risk mitigations that result in a cyber resilient enterprise on top of insecure components.

Incorporating an understanding of cyber resilience in strategic planning is a key to implementing and operating an effective cybersecurity program.

This whitepaper delves into key initiatives enterprises can adopt to enhance enterprisecyber-resilience and reduce cybersecurity risks.

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Ponemon State of Cyber Risk

In our State of Enterprise Cyber Risk in the Age of AI, we identified several trends that demonstrated most organizations still lack basic cyber hygiene.

Consider the following alarming statistics from the research: a concerning 10% of U.S. organizations admitting to never scanning for vulnerabilities and more than half only scanning for vulnerabilities only once a week or less.

Additionally, 65% of respondents rely on an organizational security plan designed for two or more years. Since new security risks and attack vectors evolve much faster, most processes, plans, and tools must be reviewed and revised often.

However, it isn’t all doom and gloom. AI is revolutionizing business and has the potential to significantly improve cybersecurity outcomes. Many already have plans to use integrated AI in cyber tools, especially for inferencing, data analysis, and GenAI conversational systems.

Like two sides to a coin, organizations must also prepare for vulnerabilities,

errors, and biases AI can introduce through generative AI code, but right now, the pros outweigh the cons.

This report provides insights into the current state of enterprise cyber risk and

the role of AI in it. We hope you find them useful in shaping your cyber risk plans for the rest of the year.

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