According to F5 data that tracks the 25 largest security breaches between 2000 and 2015, an astounding 72 percent of today’s attacks target identities and applications, not the network.
The changing face of IT security is seen in such factors of modern life as the pervasiveness of the Internet, the sheer abundance of mobile devices, the rise of social media, and dramatic shifts in web and cloud-based technology. The Internet of Things (IoT) adds another layer of complexity in which applications are at the core of this changing landscape. According to F5 data that tracks the 25 largest security breaches between 2000 and 2015, an astounding 72 percent of today’s attacks target identities and applications, not the network.
This is according to Simon McCullough, major channel account manager at F5, who says, “This shift has come about because data is what hackers are after, and the most direct pathway to data is through user credentials and applications. In this complex and vulnerable environment, applications and corresponding data can be anywhere and everywhere.
“The traditional network perimeter has dissolved in this online, interconnected world, and so, in an attack on applications, traditional network firewalls are not enough of a defence. However, according to F5 research (specifically, marketing sizing estimates aggregated from global research firms), 90 percent of today’s IT security budget is spent on perimeter solutions, leaving minimal budget on protecting user identities and applications, where 72% of today’s attacks take place .”
McCullough says that in this new, borderless security landscape, it’s important to know your company’s threat profile. He clarifies, “In this regard, you need to understand the likelihood of exploitation at all of your network’s entry points – users, applications, data centres, and network infrastructure – and the resulting impact if these entry points get hacked. Your threat profile is a key element in determining that likelihood. Could your business be a target because of such factors, for example, as its geographic profile, industry, systems, software, or data?”
McCullough offers the following 10 useful focus areas to consider in order to help businesses strengthen their security programmes and risk mitigation strategies.
1. Understand the enemy
Although hackers today include less-skilled novices who are out to cause malicious chaos, as well as those who are driven by social and political agendas, the majority of today’s hackers are cybercriminals who are motivated by money. Although they have a reputation for sophisticated methodology, in fact, many of their methods are actually relatively unsophisticated, and they tend to take the path of least resistance, going after easy targets.
2. Sort out your cybersecurity budget properly, including cyber insurance
As outlined previously, applications and user identities form around 72 percent of today’s IT attacks, yet this is not generally reflected in IT budget allocations. Spend your security budget in the right way, and ensure that you have cyber insurance as part of your budget. Data breaches will cost you money, and insurance here is as necessary as household insurance for a homeowner facing the aftermath of theft.
3. Train all employees to understand that security is everyone’s responsibility
Awareness training makes everyone more alert. Train your users to recognise and curtail factors such as spear phishing attempts and social engineering. Help them understand the importance of proper password management. Train developers in secure coding so that your web applications don’t have coding vulnerabilities.
4. Properly control access
· Remember that access is a privilege. Strictly manage what your user identities are authorised to access, so that when an identity is compromised, a threat actor doesn’t have unlimited access within the network.
· Manage your volume of user identities. Enable single sign-on to reduce the number of passwords that are stored insecurely or repeated across multiple critical systems.
· Implement multifactor authentication (MFA) for accessing your network and applications, because identities get compromised and MFA will help to protect data from being breached in the event of user credentials being compromised.
· Tighten up on username and password combinations: Don’t use weak or default combinations, and implement account lockouts after six failed login attempts. Also, implement stronger encryption methods on password databases.
5. Manage your vulnerabilities
· Have a scanning solution for every network, system, and software type; don’t limit yourself to externally facing IPs.
· Scan inside your network, and do black box and static code analysis of your apps. Layer your tools, because no single tool can universally find everything.
· Scan, test, and scan again. Have a continual testing process aligned to your development cycles and patch releases of your vendors.
· Implement a consolidated reporting platform that tracks all vulnerabilities by system and can produce valuable improvement metrics over time.
· Prioritise web application vulnerability management. You can get extremely good guidance from the OWASP (Open Web Application Security Project) Top 10, which describes today’s most critical web application security risks and how to mitigate specific types of attacks.
· Automate web application vulnerability management. Allow Web Application Firewalls (WAF) to patch a vulnerability automatically. A WAF requires routine attention by an experienced engineer. Many organisations are opting for managed WAF services versus hiring in-house expertise.
· Patch everything monthly, including desktops, laptops and servers, and especially if you are running Windows. Don’t skip important patches, as they will ultimately be required later in a queue chain of dependencies.
· Keep it updated: Don’t allow end-of-life software or hardware in your network.
· Force updates to Adobe Flash, Oracle’s Java, and don’t allow old versions of Internet browsers to run on company computer assets.
6. Ensure you have the required visibility
You can’t manage what you can’t see. It’s particularly important to make sure you have the visibility you need into your critical data. It’s important to properly architect, implement and continually manage intrusion detection/ prevention systems (IDS/ IPS), Security Information Event Managers (SIEM), data loss prevention (DLP) systems, and others. These systems need to have access to all parts of your network, systems, data, and data centres, and encrypted and non-encrypted traffic. Pay special attention to visibility within new virtualisation software.
7. Consider embracing the dark side… at least briefly
If you have an application that could cause significant harm to your business if it were compromised, it’s worth hiring an engineer to try to hack it. If hiring a hacker doesn’t sit comfortably, implement a public bounty programme.
8. Use the experts to help you
Compliance and incident response are two key areas for using the guidance of experts.
· Security as a service is a great option for effectively managing high-risk controls that require immediate response by highly skilled engineers.
· Test the effectiveness of your controls and control operators. Don’t let poorly designed controls or inadequate operators become the culprit.
· Get help in the event of a breach. Get the professional experience you need after a breach so that they can make the important decisions that could have a material impact on the outcome of the incident.
9. Have a DDoS strategy
The DDoS attack landscape has shifted rapidly. No longer are complex, expensive attacks launched only at high-value targets. Today’s reality includes bots with plug-and-play attacks that criminals can rent at low cost, as well as IoT botnets that are easy to make and capable of launching terabyte-per-second attacks. Having a DDoS plan is critical.
10. Tell the ‘big shots’ about the likelihood and effect of a breach
Communicate the possibility and subsequent effect of a breach to your board of directors, senior management and others who need to be in the know. They need to be armed with this information rather than being hit with the reality of a breach that they never imagined. Properly done, this should also support your budget requests.
Anton Jacobsz, managing director at Networks Unlimited, a value-added distributor of F5 in Africa, concludes, “Few organisations today have the internal resources required to fight cyber threats on their own. They need intelligence from outside sources, and this is where the Networks Unlimited partnership with F5 can help. F5 was founded 20 years ago and understands applications and the network at the deepest levels. Together with its threat research and intelligence team, F5 Labs, the company works to provide the security community with threat intelligence about current cyber threats and future trends to help them stay abreast of the security landscape.”
Data gives coaches new eyes in sports
Collecting and analysing data is entering a new era as it transforms both coaching and strategy across sports ranging from rugby to Formula 1, writes ARTHUR GOLDSTUCK
Coaches and managers have always been among the stars of any sports. They become household names as much as the sports heroes that populate their teams. Now, thanks to the power of data collection and analysis, they are about to raise their game to unprecedented levels.
The evolution of data for fine-tuning sports performance has already been experienced in Formula 1 racing, baseball and American football. All are known for the massive amount of statistic they produce. Typically, however, these were jealously guarded by coaches trying to get an edge over their rivals. Thanks to the science of “big data”, that has changed dramatically.
“American baseball has the most sophisticated data science analytics of any sports in the world because baseball has this long history of stats,” said Ariel Kelman, vice president of worldwide marketing at Amazon Web Services (AWS), the cloud computing giant that is working closely with sports teams and leagues around the world. “It’s an incredibly opaque world. I’ve tried for many years to try and get the teams to talk about it, but it’s their secret sauce and some of these teams have eight, nine or ten data scientist.”
In an interview during the AWS Re:Invent conference in Las Vegas last week, Kelman said that this statistical advantage was not lost on other sports, where forward-thinking coaches fully understood the benefits. In particular, American football, through the National Football League there, was coming on board in a big way.
“The reason they were behind is they didn’t have the player tracking data until recently in in the NFL. They only had the player tracking data three years ago. Now the teams are really investing in it. We did an announcement with the Seattle Seahawks earlier this week; they chose us as their machine learning, data science and cloud provider to do this kind of analysis to help figure out their game strategy.
“They are building models predicting the other teams and looking at players and also evaluating all their practices. They are setting up computer vision systems so that they can track the performance of the players during their practices and have that inform some of the game strategies. The teams then even talk about using it for player evaluation, for example trying to figure out how much should we pay this player.”
Illustrating the trend, during Re:Invent, Kelman hosted a panel discussion featuring Rob Smedley, a technicalconsultant to Formula 1, Cris Collinsworth, a former professional footballer in the NFL and now a renowned broadcaster, and Jason Healy, performance analytics managerat New Zealand Rugby.
Healey in particular represents the extent to which data analysis has crosses sporting codes. He has spent four yearswith All Blacks, after 10 years with the New Zealand Olympic Committee, helping athletes prepare for the OlympicGames.
“The game of rugby is chaos,” he told the audience. “There’s a lot of a lot of things going on. There’s a lot of trauma and violence and it can be difficult to work out the load management of each player. So data collection is a big piece of the technical understanding of the game.
“A problem for us in rugby is the ability to recall what happened. We have to identify what’s situational and what’s systemic. The situational thing that happens, which is very unlikely to be replicated, gets a lot of attention in rugby. That’s the sensational big moment in the game that gets talked about. But it’s the systemic plays and the systemic actions of players that lies underneath the performance. That’s where the big data starts to really provide some powerful answers.
“Coaches have to move away from those sensational andsituational moments. We’re trying to get them to learn what is happening at that systemic level, what is actually happening in the game. How do we adjust? How do we make our decisions? What technical and defensive strategies need to change according to the data?”
Healey said AWS was providing platforms for tracking players and analysing patterns, but the challenge was to bring people on this technology journey.
“We’re asking our coaching staff to change the way they have traditionally worked, by realising that this data does give insights into how they make their decisions.”
Kelman agreed this was an obstacle, not just in sport, but in all sectors.
“Across all of our customers, in all industries, one of the things that’s often underestimated the most is that getting the technology working is only the first step. You have to figure out how to integrate it with the processes that us humans, who dislike change, work with. The vast majority of it is about building knowledge. There’s ways to transfer that learning to performance.”
Of course, data analytics does not assure any side of victory, as the All Blacks discovered during the recent Rugby World Cup, when they were knocked out in the semi-finals, and South Africa went on to win. We asked Healey how the data-poor South Africans succeeded where the data-rich All Blacks couldn’t.
“You have to look at how analytics and insights and all thesetechnologies are available to all the coaches these days,” he said. The piece that often gets missed is the people piece. It’s the transformation of learning that goes into the player’sactual performance on the field. We’re providing them with a platform and the information, but the players have to make the decisions.. We can’t say that this particular piece of technology played a role in winning or losing. It’s simply just a tool.”
The same challenge faces motor racing, which generates massive amounts of data through numerous sensors and cameras mounted in vehicles. Rob Smedley, who spent 25 years working in engineering roles for Formula 1 teams, quipped that his sport had a “big data” problem before the phrase was invented.
“We’ve always been very obsessive about data. Take car telemetry, where we’ve got something like 200 to 300 sensors on the car itself. And that goes into something like two to three thousand data channels. So we’re taking about around 600 Gigabytes of data generated every single lap, per car.
“On top of that, where we’ve also got all the time data and GPS data. The teams are using it for performance advantage. We’re into such marginal gains now because there are no bad teams in Formula 1 anymore. Data analytics provide those marginal gains.”
• Arthur Goldstuck is founder of World Wide Worx and editor-in-chief of Gadget.co.za. Follow him on Twitter and Instagram on @art2gee
IoT faces 5-year gap
In five years, the world will have more than 40 billion devices. Locally, IoT specialist,Eseye, says that South African CIOs are recognising IoT (Internet of Things) and M2M (Machine to Machine) technologies as strategic imperatives, but the journey is still in its infancy.
“As legacy systems start to reach end of life, digital shifts will become inevitable. This, coupled with an increasing demand for improved bottom line results from existing and new markets, makes IoT a more viable option over the next five years. This is particularly prevalent in manufacturing, especially where time to market and product diversification has become necessary for business survival,” says Jeremy Potgieter, Regional Director – Africa, Eseye.
He says that within this sector one thing matters – output: “Fulfilling the product to market lifecycle is what makes a manufacturer successful. Addressing this functionality and production optimisation through technology is becoming more critical as they focus on increasing output and reducing downtime. By monitoring machinery and components in the production line, any concerns that arise, which impacts both the manufacturer and consumers alike, will be more efficiently dealt with by using an IoT approach.”
Potgieter says that there is also the growing strategic approach to increase the bottom line through new markets. As manufacturers seek new revenue streams, Eseye is encouraging the use of rapid IoT enabled device product development : “By addressing the connectivity aspects required at deployment, manufacturers are immediately diversifying their portfolios. Eseye, as an enabler, assists by providing market ready SIMs, which can be embedded into IoT connected devices at OEM level, connecting them to a plethora of services (as designed for) upon entry to market, anywhere in the world.”
In addition, Potgieter says that organisations are increasingly looking towards IoT connectivity managed services to capitalise on specialist expertise and ensure the devices are proactively monitored and managed to ensure maximum uptime, while reducing data costs.
Impacting IoT adoption though, is undoubtedly the network infrastructure required. Potgieter says that this varies significantly and will depend on criteria such as sensor types and corresponding measurements, the overall communication protocols, data volume, response time, and analytics required: “While the majority of IoT implementations can be enabled using cloud-based IoT platform solutions, the infrastructure required still remains important. A cloud platform will simplify infrastructure design and enable easy scaling capability, while also reducing security and data analytics implementation issues.”