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New data rules raise business trust challenges

When the General Data Protection Regulation comes into effect on May 25th, financial services firms will face a new potential threat to their on-going challenges with building strong customer relationships, writes DARREL ORSMOND, Financial Services Industry Head at SAP Africa.

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The regulation – dubbed GDPR for short – is aimed at giving European citizens control back over their personal data. Any firm that creates, stores, manages or transfers personal information of an EU citizen can be held liable under the new regulation. Non-compliance is not an option: the fines are steep, with a maximum penalty of €20-million – or nearly R300-million – for transgressors.

GDPR marks a step toward improved individual rights over large corporates and states that prevents the latter from using and abusing personal information at their discretion. Considering the prevailing trust deficit – one global EY survey found that 60% of global consumers worry about hacking of bank accounts or bank cards, and 58% worry about the amount of personal and private data organisations have about them – the new regulation comes at an opportune time. But it is almost certain to cause disruption to normal business practices when implemented, and therein lies both a threat and an opportunity.

The fundamentals of trust

GDPR is set to tamper with two fundamental factors that can have a detrimental effect on the implicit trust between financial services providers and their customers: firstly, customers will suddenly be challenged to validate that what they thought companies were already doing – storing and managing their personal data in a manner that is respectful of their privacy – is actually happening. Secondly, the outbreak of stories relating to companies mistreating customer data or exposing customers due to security breaches will increase the chances that customers now seek tangible reassurance from their providers that their data is stored correctly.

The recent news of Facebook’s indiscriminate sharing of 50 million of its members’ personal data to an outside firm has not only led to public outcry but could cost the company $2-trillion in fines should the Federal Trade Commission choose to pursue the matter to its fullest extent. The matter of trust also extends beyond personal data: in EY’s 2016 Global Consumer Banking Survey, less than a third of respondents had complete trust that their banks were being transparent about fees and charges.

This is forcing companies to reconsider their role in building and maintaining trust with its customers. In any customer relationship, much is done based on implicit trust. A personal banking customer will enjoy a measure of familiarity that often provides them with some latitude – for example when applying for access to a new service or an overdraft facility – that can save them a lot of time and energy. Under GDPR and South Africa’s POPI act, this process is drastically complicated: banks may now be obliged to obtain permission to share customer data between different business units (for example because they are part of different legal entities and have not expressly received permission). A customer may now allow banks to use their personal data in risk scoring models, but prevent them from determining whether they qualify for private banking services.

What used to happen naturally within standard banking processes may be suddenly constrained by regulation, directly affecting the bank’s relationship with its customers, as well as its ability to upsell to existing customers.

The risk of compliance

Are we moving to an overly bureaucratic world where even the simplest action is subject to a string of onerous processes? Compliance officers are already embedded within every function in a typical financial services institution, as well as at management level. Often the reporting of risk processes sits outside formal line functions and end up going straight to the board. This can have a stifling effect on innovation, with potentially negative consequences for customer service.

A typical banking environment is already creaking under the weight of close to 100 acts, which makes it difficult to take the calculated risks needed to develop and launch innovative new banking products. Entire new industries could now emerge, focusing purely on the matter of compliance and associated litigation. GDPR already requires the services of Data Protection Officers, but the growing complexity of regulatory compliance could add a swathe of new job functions and disciplines. None of this points to the type of innovation that the modern titans of business are renowned for.

A three-step plan of action

So how must banks and other financial services firms respond? I would argue there are three main elements to successfully navigating the immediate impact of the new regulations:

Firstly, ensuring that the technologies you use to secure, manage and store personal data is sufficiently robust. Modern financial services providers have a wealth of customer data at their disposal, including unstructured data from non-traditional sources such as social media. The tools they use to process and safeguard this data needs to be able to withstand the threats posed by potential data breaches and malicious attacks.

Secondly, rethinking the core organisational processes governing their interactions with customers. This includes the internal measures for setting terms and conditions, how customers are informed of their intention to use their data, and how risk is assessed. A customer applying for medical insurance will disclose deeply personal information about themselves to the insurance provider: it is imperative the insurer provides reassurance that the customer’s data will be treated respectfully and with discretion and with their express permission.

Thirdly, financial services firms need to define a core set of principles for how they treat customers and what constitutes fair treatment. This should be an extension of a broader organisational focus on treating customers fairly, and can go some way to repairing the trust deficit between the financial services industry and the customers they serve.

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Which IoT horse should you back?

The emerging IoT is evolving at a rapid pace with more companies entering the market. The development of new product and communication systems is likely to continue to grow over the next few years, after which we could begin to see a few dominant players emerge, says DARREN OXLEE, CTOf of Utility Systems.

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But in the interim, many companies face a dilemma because, in such a new industry, there are so many unknowns about its trajectory. With the variety of options available (particularly regarding the medium of communication), there’s the a question of which horse to back.

Many players also haven’t fully come to grips with the commercial models in IoT (specifically, how much it costs to run these systems).

Which communication protocol should you consider for your IoT application? Depends on what you’re looking for. Here’s a summary of the main low-power, wide area network (LPWAN) communications options that are currently available, along with their applicability:

SIGFOX 

SigFox has what is arguably the most traction in the LPWAN space, thanks to its successful marketing campaigns in Europe. It also has strong support from vendors including Texas Instruments, Silicon Labs, and Axom.

It’s a relatively simple technology, ultra-narrowband (100 Hz), and sends very small data (12 bytes) very slowly (300 bps). So it’s perfect for applications where systems need to send small, infrequent bursts of data. Its lack of downlink capabilities, however, could make it unsuitable for applications that require two-way communication.

LORA 

LoRaWAN is a standard governed by the LoRa Alliance. It’s not open because the underlying chipset is only available through Semtech – though this should change in future.

Its functionality is like SigFox: it’s primarily intended for uplink-only applications with multiple nodes, although downlink messages are possible. But unlike SigFox, LoRa uses multiple frequency channels and data rates with coded messages. These are less likely to interfere with one another, increasing the concentrator capacity.

RPMA 

Ingenu Technology Solutions has developed a proprietary technology called Random Phase Multiple Access (RPMA) in the 2.4 GHz band. Due to its architecture, it’s said to have a superior uplink and downlink capacity compared to other models.

It also claims to have better doppler, scheduling, and interference characteristics, as well as a better link budget of 177 dB compared to LoRa’s 157 dB and SigFox’s 149 dB. Plus, it operates in the 2.4 GHz spectrum, which is globally available for Wi-Fi and Bluetooth, so there are no regional architecture changes needed – unlike SigFox and LoRa.

LTE-M 

LTE-M (LTE Cat-M1) is a cellular technology that has gained traction in the United States and is specifically designed for IoT or machine‑to‑machine (M2M) communications.

It’s a low‑power wide‑area (LPWA) interface that connects IoT and M2M devices with medium data rate requirements (375 kb/s upload and download speeds in half duplex mode). It also enables longer battery lifecycles and greater in‑building range compared to standard cellular technologies like 2G, 3G, or LTE Cat 1.

Key features include:

·       Voice functionality via VoLTE

·       Full mobility and in‑vehicle hand‑over

·       Low power consumption

·       Extended in‑building range

NB-IOT 

Narrowband IoT (NB‑IoT or LTE Cat NB1) is part of the same 3GPP Release 13 standard3 that defined LTE Cat M1 – both are licensed as LPWAN technologies that work virtually anywhere. NB-IoT connects devices simply and efficiently on already established mobile networks and handles small amounts of infrequent two‑way data securely and reliably.

NB‑IoT is well suited for applications like gas and water meters through regular and small data transmissions, as network coverage is a key issue in smart metering rollouts. Meters also tend to be in difficult locations like cellars, deep underground, or in remote areas. NB‑IoT has excellent coverage and penetration to address this.

MY FORECAST

The LPWAN technology stack is fluid, so I foresee it evolving more over the coming years. During this time, I suspect that we’ll see:

1.     Different markets adopting different technologies based on factors like dominant technology players and local regulations

2.     The technologies diverging for a period and then converging with a few key players, which I think will be SigFox, LoRa, and the two LTE-based technologies

3.     A significant technological shift in 3-5 years, which will disrupt this space again

So, which horse should you back?

I don’t believe it’s prudent to pick a single technology now; lock-in could cause serious restrictions in the long-term. A modular, agile approach to implementing the correct communications mechanism for your requirements carries less risk.

The commercial model is also hugely important. The cellular and telecommunications companies will understandably want to maximise their returns and you’ll want to position yourself to share an equitable part of the revenue.

So: do your homework. And good luck!

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Ms Office hack attacks up 4X

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Exploits, software that takes advantage of a bug or vulnerability, for Microsoft Office in-the-wild hit the list of cyber headaches in Q1 2018. Overall, the number of users attacked with malicious Office documents rose more than four times compared with Q1 2017. In just three months, its share of exploits used in attacks grew to almost 50% – this is double the average share of exploits for Microsoft Office across 2017. These are the main findings from Kaspersky Lab’s Q1 IT threat evolution report.

Attacks based on exploits are considered to be very powerful, as they do not require any additional interactions with the user and can deliver their dangerous code discreetly. They are therefore widely used; both by cybercriminals looking for profit and by more sophisticated nation-backed state actors for their malicious purposes.

The first quarter of 2018 experienced a massive inflow of these exploits, targeting popular Microsoft Office software. According to Kaspersky Lab experts, this is likely to be the peak of a longer trend, as at least ten in-the-wild exploits for Microsoft Office software were identified in 2017-2018 – compared to two zero-day exploits for Adobe Flash player used in-the-wild during the same time period.

The share of the latter in the distribution of exploits used in attacks is decreasing as expected (accounting for slightly less than 3% in the first quarter) – Adobe and Microsoft have put a lot of effort into making it difficult to exploit Flash Player.

After cybercriminals find out about a vulnerability, they prepare a ready-to-go exploit. They then frequently use spear-phishing as the infection vector, compromising users and companies through emails with malicious attachments. Worse still, such spear-phishing attack vectors are usually discreet and very actively used in sophisticated targeted attacks – there were many examples of this in the last six months alone.

For instance, in late 2017, Kaspersky Lab’s advanced exploit prevention systems identified a new Adobe Flash zero-day exploit used in-the-wild against our customers. The exploit was delivered through a Microsoft Office document and the final payload was the latest version of FinSpy malware. Analysis of the payload enabled researchers to confidently link this attack to a sophisticated actor known as ‘BlackOasis’. The same month, Kaspersky Lab’s experts published a detailed analysis of СVE-2017-11826, a critical zero-day vulnerability used to launch targeted attacks in all versions of Microsoft Office. The exploit for this vulnerability is an RTF document containing a DOCX document that exploits СVE-2017-11826 in the Office Open XML parser. Finally, just a couple of days ago, information on Internet Explorer zero day CVE-2018-8174 was published. This vulnerability was also used in targeted attacks.

“The threat landscape in the first quarter again shows us that a lack of attention to patch management is one of the most significant cyber-dangers. While vendors usually issue patches for the vulnerabilities, users often can’t update their products in time, which results in waves of discreet and highly effective attacks once the vulnerabilities have been exposed to the broad cybercriminal community,” notes Alexander Liskin, security expert at Kaspersky Lab.

Other online threat statistics from the Q1, 2018 report include:

  • Kaspersky Lab solutions detected and repelled 796,806,112 malicious attacks from online resources located in 194 countries around the world.
  • 282,807,433 unique URLs were recognised as malicious by web antivirus components.
  • Attempted infections by malware that aims to steal money via online access to bank accounts were registered on 204,448 user computers.
  • Kaspersky Lab’s file antivirus detected a total of 187,597,494 unique malicious and potentially unwanted objects.
  • Kaspersky Lab mobile security products also detected:
    • 1,322,578 malicious installation packages.
    • 18,912 mobile banking Trojans (installation packages).

To reduce the risk of infection, users are advised to:

  • Keep the software installed on your PC up to date, and enable the auto-update feature if it is available.
  • Wherever possible, choose a software vendor that demonstrates a responsible approach to a vulnerability problem. Check if the software vendor has its own bug bounty program.

·         Use robust security solutions , which have special features to protect against exploits, such as Automatic Exploit Prevention.

·         Regularly run a system scan to check for possible infections and make sure you keep all software up to date.

  • Businesses should use a security solution that provides vulnerability, patch management and exploit prevention components, such as Kaspersky Endpoint Security for Business. The patch management feature automatically eliminates vulnerabilities and proactively patches them. The exploit prevention component monitors suspicious actions of applications and blocks malicious files executions.
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