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Is your company’s cybersecurity policy as effective as it should be amid these tumultuous times? And if you’re not an employee but the owner of a small business – typically someone with much less sophisticated cybersecurity protection – how does your online security stack up? The answer: Cybersecurity has improved, but markedly more has to be done to secure networks in 2021, the second year of the pandemic, as the number of cyberattacks has become staggering.
A new automated data feed that helps defend state and local government computer systems from cyberattacks and rapidly blocks threats across state lines reduced cyber defense time from some three days to less than three minutes in a successful pilot program across four states.
The US Secret Service hosted a virtual Cyber Incident Response Simulation for financial services, real estate, retail and hospitality executives who trained on mitigation strategies for a simulated business email compromise (BEC) attack. Business Email Compromise is a sophisticated scam targeting both businesses and individuals performing a transfer of funds. The scam is frequently carried out when a subject compromises legitimate business e-mail accounts through social engineering or computer intrusion techniques to conduct unauthorized transfers of funds.
Security operations centers need to solve the detection puzzle, creating human experience that is less tedious and more productive. The overall solution must give security professionals and the enterprise a consistent view of security preparedness, and the necessary implementations to keep their coverage high and their alerts rich. So where do you start?
Few cybersecurity components are as familiar as the next-generation firewall (NGFW) for enterprise protection. Despite this ubiquity, it is common for security teams to operate their NGFW in a suboptimal manner. The TAG Cyber team has observed, for example, that many enterprise teams operate their NGFW more like a traditional firewall. This can result in a reduction of traffic visibility, which in turn degrades prevention, detection, and response.
Machines are better at speed and scale than humans. But humans have the edge over machines at thinking outside of the box, using their curiosity and creativity to come up with solutions, and reasoning that machines cannot define or replicate. When it comes to security operations, humans and automation are the duo that’s stronger and more effective in partnership than when they’re apart. Using extended detection and response (XDR) can bring these skills to the forefront of the Security Operations Center (SOC), leaving the repeatable, boring tasks to the machines and allowing for these human traits to shine.
SOAR’s place in the fast-moving security arena has changed, and it is being swallowed up by advanced SIEMs. A new Gartner report sheds light on how the market has shifted and lays bare the paradox of smaller SOC teams, who need automated triage the most but aren’t able to maintain a SOAR.
Security Orchestration, Automation and Response (SOAR) solutions came on the market around six years ago. The two main objectives of these tools were to orchestrate 3rd party tools for filtering false positive alerts out of the network, and to automatically block attacks. SOAR came on the scene with bold statements to fill in some of the gaps that existed in Security Information and Event Management (SIEM) platforms, which have been making security analysts miserable for twenty years now.
The Forum of Incident Response and Security Teams (FIRST) is holding its annual conference online next week. The three-day event, which is taking place online for the first time, will feature both industry experts and academics from the global community talking about the latest developments on how to prevent, detect and respond to computer security incidents. The
Digital Shadows, throughout the years, has tracked SandWorm, and has now revisited the tactics, techniques and procedures (TTPs) behind the SandWorm APT.
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.
