At AIPressa, my work focuses on exploring the paradox of AI in cybersecurity: it's both our best defense and our greatest threat. I've closely followed how AI systems detect vulnerabilities in milliseconds while attackers simultaneously use them to create increasingly sophisticated malware. My approach: explaining technical complexities in an accessible way without losing the urgency of the topic. When I'm not researching the latest AI-driven threats, I'm probably testing security tools or reading about the next attack vector keeping CISOs awake at night.
AI-driven cyberattacks are expected to surge by 50% in 2026, as attackers exploit vulnerabilities faster than organizations can adapt, pushing cybersecurity to a critical...
AI is transforming cybersecurity, yet 75% of workers feel unprepared to integrate these tools effectively into their roles, raising urgent workforce concerns.
Diana Burley, newly elected NAPA fellow, advocates for transparency in cybersecurity policies to restore public trust amidst rapid technological changes.
Enterprises face rising audit failures and regulatory scrutiny as 85% of IT leaders lack visibility into AI training data, prompting the urgent need for...
As reliance on cloud services grows, experts warn that AI-driven attacks and misinformation are set to escalate, with quantum computing threats projected to exceed...
AI model security becomes critical as 74% of enterprises lack protections, with 13% expected to face breaches by 2025, exposing vital data and innovation.
AI-driven cloud security tools like Wiz and Prisma Cloud empower businesses to enhance protection across AWS, Azure, and Google Cloud, streamlining threat responses significantly.
Experts stress that Asia-Pacific businesses must adopt AI-driven cybersecurity strategies to combat escalating threats, with ransomware incidents potentially costing millions.
AI security firms launch advanced real-time threat detection solutions to combat quantum risks, enhancing AI inference protection across critical sectors.
Infoblox CEO Scott Harrell warns that AI-driven attacks demand a shift to proactive defenses, as traditional security tools fail against personalized threats.
George Washington University’s SENTINEL framework achieves an impressive 89% accuracy in predicting cyberattacks by analyzing 365,000 messages from Telegram discussions.
Hadrian unveils its autonomous AI agents to combat a 25% rise in cyber incidents in the UK, enhancing proactive security against escalating AI-driven attacks.
Ethiopia advances AI governance with new policies, addressing rising cyber risks highlighted by experts as threats evolve faster than regulatory capacity.
Palo Alto Networks reveals AI-driven cyberattacks can exfiltrate data in just 25 minutes, urging organizations to unify defenses amid escalating threats.