Santiago Pontiroli, Lead TRU Researcher, Acronis meaning you fix genuinely critical issues first, not just random CVSS scores. And don’ t just scan – use AI-driven continuous compliance monitoring and remediation to stay ahead of threats.
Critically, get strategic with AI by integrating predictive analytics into your risk management processes. AI can anticipate attack paths, simulate breach scenarios and predictively quantify risks in business terms. Businesses using cyber-risk quantification( CRQ), and powered by AI-driven analysis, have a clear strategic edge. It helps executives see cyber-risk in financial terms, cutting through the usual technobabble.
Finally, stop pretending AI threats are tomorrow’ s problem. They’ re here, right now, attacking your systems. Counteract proactively by embedding AI deeply in your cyberstrategy. Fail to adapt, and frankly, you’ re handing cybercriminals an advantage they’ ll happily exploit.
Santiago Pontiroli, Lead TRU Researcher, Acronis
AI offers defensive capabilities but, at the same time, also provides cybercriminals with tools to amplify their attacks’ scale, precision and sophistication.
From a malicious perspective, AI is increasingly used to craft highly convincing phishing scams using Natural Language Processing( NLP) that mimic human communication. Additionally, AI-driven malware can adapt its behaviour to evade detection systems, making traditional, signature-based defences obsolete.
Unlike mainstream AI models that undergo rigorous ethical training and content filtering, other alternatives, such as WormGPT and FraudGPT, are designed to facilitate cybercrime through automation and advanced language capabilities.
WormGPT allows users to generate phishing emails, ransomware, malware code and other harmful content without restriction. Similarly, FraudGPT provides tools to craft convincingly deceptive content, automate social engineering attacks, and design sophisticated scams tailored to exploit human vulnerabilities.
However, AI can help businesses detect, predict and mitigate threats in real-time. AI-driven anomaly detection systems excel at identifying unusual patterns and potentially malicious activity before it escalates. Similarly, AI’ s predictive capabilities can help organisations stay ahead of attackers
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