There are few discussions in the physical security business that don’t at some point focus on the topic of cybersecurity. One area frequently missing from these conversations is the importance of a trusted supply chain for manufacturers. Since a product is only as good as the hardware and software inside it, examining how something is built can give us rapid insight into its potential vulnerabilities and overall cyber worthiness. The NDAA (National Defense Authorization Act) ban is particularly focused on the subject of component sourcing for security devices. What is inside that device that could be exploited? Where did it come from? What do we know about the manufacturing process? These are all important questions about the manufacturing supply chain that need to be considered by anyone who cares about cybersecurity.
According to the Center for Internet Security (CIS), in September 2020, three malware returned to the Top 10: CoinMiner, CryptoWall, and Emotet. The Top 10 Malware variants composed 87% of Total Malware activity in September 2020, up from 78% in August 2020.
Following a global consultation, the Forum of Incident Response and Security Teams (FIRST) is launching new ethics guidelines for incident response and security teams on Global Ethics Day. ethicsfIRST provides guidance for cybersecurity professionals on how to conduct themselves professionally and ethically during incidents. Inspired by Earth Day, Global Ethics Day provides an opportunity for organizations to explore the meaning of ethics in international affairs.
Faced with this ransomware onslaught, organizations of all kinds need to rethink how they protect themselves. Part of that rethink means merging the need to provide better privacy protection for their employees with the necessity to protect themselves from the consequences of a ransomware attack exposing both customer and employee data. With federal agencies signaling the possibility of fines for complying with ransomware demands and the liability from exposing personally identifiable data likely to rise significantly, not doing so will soon be too costly to consider.
We recently surveyed companies across the U.S. about their current cybersecurity challenges now that many have moved to a predominantly remote workforce. Unfortunately, what we found was that most organizations are only scratching the surface when it comes to identity and access management, as they may only be addressing a fraction of what identity can provide. This is leaving many organizations exposed to data breach and compliance fines.
Cyber criminals launched an online scam designed to trick U.K.-based retail stores' Marks and Spencer (M&S) customers into handing over confidential data by by impersonating the retailer’s CEO Steve Rowe in fraudulent, impersonated ads on Facebook.
Attacks within digital communications channels (like Slack, TEAMS, Twitter, Facebook, LinkedIn) have grown more targeted, more social engineering-focused, and the payloads have become "softer,” and the risks are not in files and links/IP's alone anymore. Instead, recent attacks are laser-targeted and evade traditional detection by focusing on human connections. To find out more about these “soft attacks,” we talk to Otavio Freire, CTO, President & Co-Founder SafeGuard Cyber.
The National Security Agency (NSA) has released a cybersecurity advisory on Chinese state-sponsored malicious cyber activity. This advisory provides 25 Common Vulnerabilities and Exposures (CVEs) known to be recently leveraged, or scanned-for, by Chinese state-sponsored cyber actors to enable successful hacking operations against a multitude of victim networks.
Financial services institutions and banks around the globe face monumental challenges as they look to streamline service delivery for customer transactions, manage multi-party loan processes, collaborate on industry benchmarks and indices, and eliminate fraud and cybercrime. Historically the market has primarily relied upon manual approaches for sharing and managing transaction data. But advances in confidential computing (sometimes called CC or trusted computing), combined with federated machine learning (FML), are helping financial organizations better share data and outcomes, while alleviating many privacy and security concerns.
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