Crises don’t discriminate. Whether they are economic, geopolitical, technological or environmental, you can expect to have to deal with a major one soon. And how well you minimize the impact of that crisis is the difference between achieving your business objectives, and completely missing them, disappointing your customers, employees, partners, and shareholders in the process. Lucky for you (if you believe in luck and not the probability of chance events), Forrester’s risk experts have updated The Governance, Risk, And Compliance Playbook For 2016. I also recently finished a series of reports on the state of business continuity (which I have creatively named part 1, part 2, and part 3) to give you a jump start on your GRC efforts. Below, I’ve highlighted some of our most recent and exciting GRC research:
Cybersecurity requires a specialized skillset and a lot of manual work. We depend on the knowledge of our security analysts to recognize and stop threats. To do their work, they need information. Some of that information can be found internally in device logs, network metadata or scan results. Analysts may also look outside the organization at threat intelligence feeds, security blogs, social media sites, threat reports and other resources for information.
This takes a lot of time.
Security analysts are expensive resources. In many organizations, they are overwhelmed with work. Alerts are triaged, so that only the most serious get worked. Many alerts don’t get worked at all. That means that some security incidents are never investigated, leaving gaps in threat detection.
This is not new information for security pros. They get reminded of this every time they read an industry news article, attend a security conference or listen to a vendor presentation. We know there are not enough trained security professionals available to fill the open positions.
Since the start of the Industrial Revolution, we have strived to find technical answers to our labor problems. Much manual labor was replaced with machines, making production faster and more efficient.
Advances in artificial intelligence and robotics are now making it possible for humans and machines to work side-by-side. This is happening now on factory floors all over the world. Now, it’s coming to a new production facility, the security operations center (SOC).
Today, IBM announced a new initiative to use their cognitive computing technology, Watson, for cybersecurity. Watson for Cyber Security promises to give security analysts a new resource for detecting, investigating and responding to security threats.
Since I first became the research director of the Security & Risk team more than five years ago, security leaders have lamented the difficulty of aligning with the business and demonstrating real business value. Over the years, we’ve written an enormous amount of research about formal processes for aligning with business goals, provided key metrics to present to the board, and developed sophisticated models for estimating security ROI. Yet for many, demonstrating real business value continues to be a significant challenge. If it wasn’t for the 24 hour news cycle and a parade of high profile security breaches, chances are good, that security budgets would have been stagnant the last few years.
To help security pros plan their next decade of investments in data security, last year myself, John Kindervag, and Heidi Shey, researched and assessed 20 of the key technologies in this market using Forrester's TechRadar methodology. The resulting report, TechRadar™: Data Security, Q2 2014, became one of the team’s most read research for the year. However, it’s been a year since we finalized and published our research and it’s time for a fresh look.
One can argue that the entirety of the information security market - its solutions, services, and the profession itself - focuses on the security of data. While this is true, there are solutions that focus on securing the data itself or securing access to the data itself - regardless of where data is stored or transmitted or the user population that wants to use it. As S&R pros continue to pursue a shift from a perimeter and device-specific security approach to a more data- and identity-centric security approach, it’s worthwhile to hyper focus on the technology solutions that allow you to do just that....
Last year, we included the following 20 technologies in our research:
The CES Tech West Expo has a number of specific areas of coverage including fitness and health, wearables, connected home, family safety, and some young innovative companies located in the startup area of the section. I spent a few hours interviewing and discussing the Internet of Things (IoT) with as many vendors as I could find. I had many good laughs and shed a few tears during the process. To describe the process, the general communication would go something like this:
Me: "Can you point me at the most technical person you have at your booth? I'd like to talk about how you secure your devices and the sensitive / personal data that it accesses and collects."
Smartest tech person at the booth: "Oh! We are secure; we [insert security-specific line here]."
Me: "Never mind . . ." (dejected look on my face).
As an analyst on Forrester's Customer Insight's team, I spend a lot of time counseling clients on best-practice customer data usage strategies. And if there's one thing I've learned, it's that there is no such thing as a 360-degree view of the customer.
Here's the cold, hard truth: you can't possibly expect to know your customer, no matter how much data you have, if all of that data 1) is about her transactions with YOU and you 2) is hoarded away from your partners. And this isn't just about customer data either -- it's about product data, operational data, and even cultural-environmental data. As our customers become more sophisticated and collaborative with each other ("perpetually connected"), so organizations must do the same. That means sharing data, creating collaborative insight, and becoming willing participants in open data marketplaces.
Now, why should you care? Isn't it kind of risky to share your hard-won data? And isn't the data you have enough to delight your customers today? Sure, it might be. But I'd put money on the fact that it won't be for long, because digital disruptors are out there shaking up the foundations of insight and analytics, customer experience, and process improvement in big ways. Let me give you a couple of examples: