The recent breakthroughs in analytics, machine learning and AI have changed the way cybersecurity professionals can mitigate risks within the enterprise. There are several things to keep in mind, however, as cybersecurity team begins creating and building out a threat intelligence capability. Here’s how to make threat data relevant, actionable and effective for your organization.
In spite of the fact that mobile apps live on IoT-enabled devices, collect user data, and continuously loop communication between Internet, cloud services and companies (even when not “in use”), there is a limited view that they are different entities altogether. We see this particularly when it comes to security – or lack-there-of – regarding security standards in place to continuously protect users from detrimental application hacks.
In 2021, as enterprise security leaders look to better understand and tackle their organization’s risks as it relates to the COVID-19 pandemic, following this model can be helpful: designate a dedicated response team; analyze how risks have changed and what new types of risks there are; consider the appetite for taking risks and prioritize them. Here's how.
With so many working from home, the cyber hygiene of employee homes has become a more central concern to those overseeing security inside today’s enterprises. The bottom line for every organization is that its attack surface has greatly expanded, altering traditional cybersecurity roles. Security within the enterprise needs to reshape to fit this new reality.
Most bot mitigation solutions rely on rules and risk scores, which use information from the past, even when paired with advanced machine learning or AI capabilities. Since bot operators are continually inventing new ways to evade detection, using historical data fails to detect and stop bots never seen before. As a result, retailers and e-commerce companies can’t keep up with the evolving nature of bot operators’ techniques, tools, and tactics. This is evidenced by the record volume of “Grinch” bots that we saw over the holidays.
When it comes to cybersecurity, companies still have a lot of work to do to find ways to anticipate and avoid data breaches. Let’s take a look at a few of the most notorious cybersecurity attacks that have happened over the last few decades and see what you and your enterprise can learn.
While businesses face myriad challenges during this protracted pandemic period, the enterprises that are managing to stay on course, and even thrive, are those that had already established and tested plans, processes and tools across key functions, to better anticipate and mitigate emerging risks. Now is the time to take a closer look at your crisis response plans and learn from these best practices.
Loss prevention and safety/risk employees can benefit from occupancy analytics, especially during the current health crisis. But beyond the pandemic, employees in operations, marketing, and merchandising can benefit considerably by learning all about the foot traffic in their stores.
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