Small-to-medium-sized businesses (SMBs) have a number of unique considerations when it comes to video surveillance. For starters, with SMBs, managing security and risk often falls to a manager, store owner, or hourly security professional. Therefore, the convenience of being able to view multiple sites at once whether remotely or onsite is paramount.
NOAA’s Satellite and Information Service (NESDIS) has signed an agreement with Google to explore the benefits of Artificial Intelligence (AI) and Machine Learning (ML) for enhancing NOAA’s use of satellite and environmental data.
Security operations centers (SOCs) across the globe are most concerned with advanced threat detection and are increasingly looking to artificial intelligence (AI) and machine learning (ML) technologies to proactively safeguard the enterprise, according to a new study by Micro Focus, in partnership with CyberEdge Group.
The Security Industry Associated has identified its Top 10 Security Megatrends from focus groups within the industry. The trends will be an underlying theme at the Securing New Ground conference (Oct. 21-22, virtual).
Banks, like other businesses, are taking precautions to make customers feel safe during the COVID-19 pandemic. Placing physical distancing markers on the floor, sanitizing ATMs, installing plexiglass partitions at teller booths and requiring scheduled appointments are just some of the ways financial institutions are mitigating risks for customers. Video surveillance can play a vitally important role right now, as banks look to ensure compliance with these new COVID-related safety measures. IP cameras with intelligent security analytics can help rapidly and accurately detect compliance issues, as well as other suspicious or atypical behavior. After all, banks must continue to monitor physical security even throughout the pandemic and today’s IP cameras with intelligent system-on-chip (SoC) technology can help lessen this burden with highly accurate notifications.
To address this current losing war with cyberattackers, the future of cybersecurity requires augmenting the current focus of “indicators of compromise” with “indicators of exposure & warning” in real-time. Where the measure would be to gauge the shift of incident management that would tilt on managing more incidents at warning stages than on compromise stages. It is imperative to build an AI engine to perform this very task as that would be the only way to perform in real-time, scale with the growing nature of cloud as well as to cover the evolving nature to attack scenarios.
Deloitte’s third edition of the “State of AI in the Enterprise” survey finds businesses are entering a new chapter in AI implementation where early adopters may have to work harder to preserve an edge over their industry peers.
This month, Security magazine brings you the Security 500 Report, Rankings and Thought Leader Profiles. How does your enterprise compare to others? Which security programs are leading the way? Also this month, we highlight how to plan, prepare for and build resilience to protests and other unplanned events, video surveillance tools for SMBs and more.