Beware! It is now easier and cheaper to attack you
By Abimbola Tooki
- Cyber security poses a major risk to businesses on their
digital transformation journey.
- Inability to integrate legacy and new technology can be
challenging.
- Talent remains critical, and businesses must implement
the right culture and drive digital literacy.
It has now become easier and cheaper for
hackers to attack a company and personal gadgets like phones, laptops and other
technological equipment. Every sector is targeted, and there are multiple ways
that hackers can penetrate a business, in what has become a major, if illegal,
business. There is also a clear imbalance between attacker and defender, as the
attacker only needs to get it right once, whereas the defender needs to get it
right all the time. As the threat surface keeps on increasing, this makes it
even more difficult to be protected, which is why resilience has
become the main priority. This is why it is important to remember that:
- Anything
connected can be hacked
- Nothing
is ever fully secure
- The
network is only as strong as its weakest link
“Contemporary technology
cannot provide a secure system in an open environment.”
This quote comes from a 1968 report from the
Pentagon’s Defense Science Board Task Force on Computer Security, and it shows
that cyber security is a decades-old challenge. But as more and more objects
and things are connected to the network, and technology becomes ubiquitous
within the enterprise, security risks are becoming even more widespread.
McKinsey surveys from 2022 and 2023 reported that over half of companies
highlighted cyber-security as one of the most relevant threats they were
facing.
Integrating the old and the new
There are two main things for companies to
consider when they purchase new technologies. The first is how well it will
integrate with legacy systems.
Companies have been using technology for many
years, and the different systems may not work with each other as well as they
should. This is especially when it comes to data insights.
Companies have a lot of data available, but it
may not be available in the right way to gain the necessary insights from it.
It could, for example, be stored in a specific format that is not interoperable
with the right data science or Artificial Intelligence tools, or it could be
stored in a way that only a few people can access.
The second consideration is the need to buy a
durable system. During the Internet of Things (IoT) boom in the early parts of
the century, there was a proliferation of proprietary networks.
Companies bought sensors that only worked on
these networks, but if the operators went bust or stopped operating that
specific technology, they were left with a system which could do not anything.
A similar trend happened in the consumer
market with smart-home systems, where many companies, while still operating,
stopped providing updates for some systems, which made them a major security
issue.
Both integrating and getting the right system
are critical, because not getting it right will have a cost.
A June 2023 survey from Altair, a US-based IT
company, highlighted that 40 per cent of companies had wasted money in the past
year because one of their Artificial Intelligence projects had failed.
Need for talent: no
digital transformation without humans
It might seem obvious, but it is still worth
repeating: digital transformation does not mean replacing humans with
technology, but rather helping humans to work better with technology.
Digital transformation has to be
human-centric, but this can only happen with the right talent, and the Altair
survey showed that 75 per cent of companies struggled to find the right data
science staff.
Companies will also have a role to play in
ensuring that they provide the right training to their employees based on what
is and will be required by the business over time.
The right culture is also critical in the
company. There needs to be an alignment between management and the rest of the
staff, as this gives the best chance of success for any digital transformation
programme.
A disconnect will create friction, and it is
important for management to be clear as to the aims of any programme, and for
the rest of the company to know exactly what they need to do and be given the
right tools to do it; the Altair survey shows an 18-point gap between
executives and the users when it comes to the need for data science expertise
in any AI projects.

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