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Similarly, prompt injections use malicious prompts to trick AI tools into taking harmful actions, such as leaking data or deleting important documents. For instance, attackers might generate adversarial examples that exploit vulnerabilities in AI algorithms to interfere with the AI models’ decision-making or produce bias. Despite the many benefits, the adoption of new AI tools can expand an organization\u2019s attack surface and present several security threats. AI capabilities can provide many advantages in enhancing cybersecurity defenses. Whether you’re a builder, defender, business leader or simply want to stay secure in a connected world, you’ll find timely updates and timeless principles in a lively, accessible format. For example, attackers can use AI to automate the discovery of system vulnerabilities or generate sophisticated phishing attacks.<\/p>\n<\/p>\n
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Discover the benefits and ROI of IBM Guardium\u00ae Data Protection in this Forrester TEI study. The KuppingerCole data security platforms report offers guidance and recommendations to find sensitive data protection and governance products that best meet clients\u2019 needs. Gain insights to prepare and respond to cyberattacks with greater speed and effectiveness with the IBM X-Force\u00ae Threat Intelligence Index. The global average cost of a data breach reached USD 4.99M while AI-driven attacks increased 56%.<\/p>\n<\/p>\n
Fortinet is increasingly leveraging AI and machine learning\u2013driven monitoring to strengthen security across operational technology (OT) environments. Adversarial AI occurs when attackers feed manipulated inputs into AI systems to produce incorrect outputs, compromising applications like fraud detection and threat classification. As AI systems become more integrated into business operations, they present new opportunities for attackers to exploit vulnerabilities. It integrates advanced analytics, automation, and model protection techniques to defend against evolving cyber risks. AI security combines multiple mechanisms to detect threats, automate responses, and safeguard AI models throughout their lifecycle.<\/p>\n<\/p>\n