Trend Micro has launched Trend Cybertron, the industry’s first proactive cybersecurity AI, designed to predict and prevent cyber threats. By leveraging extensive threat intelligence and advanced AI capabilities, it aims to transform how organizations manage cyber risk, enhancing security outcomes and reducing alert fatigue for overwhelmed security teams.
As generative AI rapidly integrates into SaaS solutions, security teams face pressing questions about its risks. This blog addresses key AI security concerns, emphasizing the importance of visibility, governance, and risk management to safely deploy AI tools while protecting sensitive data and preventing shadow AI usage.
At the Lagos Cybersecurity Meetup, experts discussed the dual role of AI in cybersecurity, highlighting its potential for both defense and attack. They emphasized the importance of adopting AI-driven security measures to combat evolving cyber threats and urged individuals and organizations to prioritize cybersecurity in today’s digital landscape.
In the evolving landscape of cybersecurity, AI plays a dual role as both a challenge and a solution. Sushant Chowdhary explores how AI enhances machine identity protection, privileged access management, and threat detection, while emphasizing the need for human oversight to navigate the complexities of modern digital security.
In the evolving landscape of cybersecurity, AI plays a dual role as both a challenge and a solution. Sushant Chowdhary explores how AI enhances machine identity protection, privileged access management, and threat detection, while emphasizing the need for human oversight to navigate the complexities of modern digital security.
Leidos has partnered with SeeTrue to enhance airport security using advanced AI algorithms. This collaboration aims to improve efficiency in customs screenings and threat detection. Leidos will integrate third-party algorithms with its ClearScan CT scanner, focusing on currency and narcotics detection, to revolutionize security processes.
In a recent video, Lee Waskevich from ePlus highlights the critical need for enhanced governance in AI deployment. The ePlus AI Readiness survey reveals top concerns around data quality, security, and governance, underscoring the importance of a robust data management strategy for successful AI initiatives. Read more [here](https://www.itsecuritynews.info/why-ai-deployment-requires-a-new-level-of-governance/).
The role of software engineers is evolving beyond coding to include skills in AI, cloud computing, cybersecurity, and collaboration. As technology advances, future engineers must adapt to emerging trends and embrace a multidisciplinary approach to thrive in the industry. A software development BootCamp can help bridge the knowledge gap.
Deepseek, an emerging AI model, raises serious security and ethical concerns, as highlighted in the Appsoc report. With vulnerabilities that allow data leaks and manipulation, businesses must weigh the risks against its low cost. The potential consequences of using Deepseek could far outweigh its initial savings.
Nearly 30% of UK public sector IT professionals express significant concerns about AI security risks, according to a SolarWinds report. Key issues include data privacy, regulatory compliance, and algorithmic transparency, highlighting the complexities of integrating AI into government IT operations amidst budget constraints and workforce skill shortages.
