How AI Is Creating a New Age of Cybersecurity
AI is no longer a futuristic concept in cybersecurity—it’s an essential part of modern digital defense. With cyber threats growing more sophisticated by the day, AI-driven security systems are helping businesses detect attacks faster, automate responses and predict vulnerabilities before they can be exploited.
“AI advances threat detection, automates incident responses, and strengthens identity and access management, making security operations more effective.”
David Obasiolu, Co-Founder of Vliso, highlights AI’s role in enhancing precision:
“AI advances threat detection, automates incident responses and strengthens identity and access management, making security operations more effective.”
At the same time, AI is enabling security professionals to make smarter, data-driven decisions. Roman Vinogradov, VP of Product at Improvado, notes that “Machine learning models continuously adapt to new threats, making AI-driven security solutions more effective at preventing cyberattacks before they occur.”
With AI’s ability to process massive amounts of data in real time, businesses can shift from reactive cybersecurity strategies to proactive ones.
“AI-powered deepfake threats make it easier for bad actors to bypass traditional authentication methods.”
AI’s Growing Risks: Are Businesses Prepared?
However, as businesses hurry to implement AI-driven security tools, they must also prepare for AI-enabled cybercrime. According to research by Keeper Security, AI-powered cyber attacks pose the greatest risk among the broader field of today’s more sophisticated, cutting-edge attacks: “Survey respondents cite AI-powered attacks as the most serious emerging attack vector and the most challenging to handle.”
Manasi Sharma, Principal Engineering Manager at Microsoft, notes that AI-powered deepfakes are particularly troubling. One recent deepfake con that cost a company $25 million highlights the ways cyberattacks are evolving. “AI-powered deepfake threats make it easier for bad actors to bypass traditional authentication methods,” Sharma says.
But as cybersecurity experts know, not all threats are external. Anand Santhanam, Global Principal Delivery Leader at AWS, warns that even inside a company’s internal systems, “AI-generated hallucinations and prompt injections can compromise data security. Organizations need strong security controls around AI-driven systems.”
As cybercriminals become more sophisticated, businesses must ensure that their AI-driven security measures are just as advanced.
“AI-generated hallucinations and prompt injections can compromise data security. Organizations need strong security controls around AI-driven systems.”
The Path Forward: AI Security Strategies That Work
Organizations must take a proactive approach to AI-driven cybersecurity, ensuring that AI remains an asset, not a liability. To that end, Nikhil Jathar, CTO of AvanSaber, says that “businesses should routinely test security models, monitor AI outputs and implement transparency measures.”
By implementing best practices like these and staying abreast of the ways AI can both enhance and threaten cybersecurity, leaders stand a better chance of not being blindsided by attacks. The future of cybersecurity will depend on how well businesses can balance AI’s strengths with its vulnerabilities.
