Could Your Next Security Analyst Be A Computer?

Joseph Blankenship

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.

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Security In The IoT Age: Makers Vs. Operators

Tyler Shields

Check out my latest research on IoT security: An S&R Pros Guide To IoT Security

Internet of Things (IoT) security is a hot topic among security and risk professionals. It seems as if every "thing" on the market is becoming smarter and more interactive. As the level of IoT device maturity increases so does the level of risk of data and device compromise. The scary thing is that we really have no idea what IoT devices are in our environment let alone the correct way to secure them. 

Both IoT product makers and IoT product operators need to understand the security implications of IoT devices. Security in IoT involves product makers rethinking how they create technologies, secure code and hardware, develop new offerings, and ensure the privacy of the data they collect. These areas of security are not typically areas that automobile, manufacturing, and retail technology makers have had to consider in the past.  The scale of IoT devices in each vertical is enough to employ a small army of developers who are yet not up to speed on the latest secure code and hardware concepts.

On the other side of the coin, enterprises have the unenviable position of implementing these poorly coded and built technologies. Overwhelming pressure will come from competing enterprises causing an increase in IoT adoption to improve business efficiencies. IoT will become pervasive, and mandatory, throughout every vertical from gas and electric to automotive. The threat landscape in these areas will be immense.

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Forrester's Security & Risk Research Spotlight -- Don't Let Cloud Go Over Your Head

Stephanie Balaouras

With great convenience comes great responsibility...

Once a month I use my blog to highlight some of S&R’s latest and greatest. The cloud is attractive for many reasons -- the possibility of working from home, the vast array of performance and analytical capabilities available, knowing that your backups are safe from that fateful coffee spill, etc. Although the cloud is not a new concept, the security essentials behind it unfortunately remain a mystery to practically all users. What’s worse, the security professionals tasked with protecting corporate data rarely have visibility into all the risk -- it’s simply too easy for users to make critical cloud decisions without process or oversight.   

Underestimating or neglecting the necessary security practices that a cloud requires can lead to hacks, breaches, and horrendous data leaks. We’ve seen our fair share of security embarrassments that range from Hollywood execs to the US government, and S&R pros know that these are far from done.

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