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Attackers can more easily introduce malicious data into AI models than previously thought, according to a new study from Antropic.
Poisoned AI models can produce malicious outputs, leading to follow-on attacks. For example, attackers can train an AI model to provide links to phishing sites or plant backdoors in AI-generated code.
One of the biggest reasons why cybercrime is so bad — and is increasing each year —is that so much of it is committed by foreign nationals who are not physically located in the country they are attacking.
Lead Analysts: Lucy Gee and James Dyer
Cybercriminals want their payday. Unfortunately for the targets of phishing (and the organizations they work for) that means they’re constantly refining their tactics to create more sophisticated attacks that are harder to detect – by both email security products and people.
76% of organizations are struggling to keep up with the sophistication of AI-powered attacks, according to CrowdStrike’s latest State of Ransomware Survey.
In the complex ecosystem of financial services, some of the greatest threats come from within. While cybersecurity for financial institutions often focuses on external threat actors, the reality is that insider risks—whether intentional or accidental—pose an equally dangerous challenge to regulatory compliance and organizational integrity.
The integration of artificial intelligence into the modern workplace represents a paradigm shift in productivity and innovation.
