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CS Jul-Aug 2023

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AI<br />

David Trossell, Bridgeworks: AI should<br />

continue to be embraced by enterprises<br />

and startups developing technologies in<br />

the future.<br />

Boris Cipot, Synopsys Software Integrity<br />

Group: legally, who is the owner or author<br />

of what is provided by AI and what are<br />

the flaws AI may have generated?<br />

these apps exist and always be sure to read<br />

the fine print whenever hitting 'Subscribe'.<br />

Users can also report apps to Apple and<br />

Google, if they think the developers are using<br />

unethical means to profit."<br />

KEEPING CONTROL<br />

People are often suspicious of new technologies,<br />

with Sci-Fi movies, such as 'The<br />

Terminator', playing on this fear, says David<br />

Trossell, CEO and CTO of Bridgeworks. "Sure,<br />

cyber-criminals could use AI against us, but<br />

equally we can use AI to protect ourselves;<br />

or to do more with fewer resources. Machine<br />

learning doesn't mean that autonomous<br />

machines will eventually control us. We<br />

can use AI and ML to maintain control.<br />

For example, new technologies that<br />

incorporate AI to ensure that voluminous<br />

amounts of encrypted data can travel<br />

securely at unrivalled speeds over a Wide<br />

Area Network."<br />

He points to the innovation called WAN<br />

Acceleration, which uses AI, ML and data<br />

parallelisation to mitigate latency and packet<br />

loss. "It permits the secure transport and<br />

ingression of encrypted data. Organisations<br />

can increase their bandwidth utilisation,<br />

without investing in new pipes. Without<br />

AI and ML, data would neither be as secure,<br />

nor as fast, over large distances. Rather than<br />

making IT redundant, it enables CIOs to<br />

focus on strategic tasks," advises Trossell.<br />

"Given the benefits of AI and ML, the<br />

question is: 'Why are they trying to stop the<br />

inevitable?' The genie is out of the bottle.<br />

Rodney Brooks [the Australian roboticist]<br />

argues that you have to be aware that, with<br />

any new technology, 50% of the answers are<br />

incorrect. Don't confuse performance with<br />

competence. It's a bit like the cloud. Everyone<br />

rushed to the cloud to avoid missing out,<br />

only to regret it. In 2017, The Global and<br />

Mail wrote: 'The public cloud provider<br />

Nirvanix, in San Diego, California, went<br />

under in 2013, forcing clients to scramble to<br />

retrieve their data before it was forever lost.'<br />

People should reflect, plan, and re-evaluate<br />

AI and ML, Trossell says. "The big VCs are<br />

piling in with money to get on the bandwagon<br />

and AI isn't new. As for ethics, they've<br />

never prevented the making of a dollar. You<br />

can see this with Meta and Twitter. Generative<br />

AI ChatGPT is going to be the same - just<br />

another tool. Will it cause mass unemployment?<br />

Possibly, but growing global trade<br />

and investment impact these changes as<br />

well. Organisations and consumers adapt,<br />

so AI should continue to be embraced by<br />

enterprises and startups developing technologies<br />

in the future."<br />

LEGAL IMPLICATIONS<br />

Ultimately, there is no denying the importance<br />

AI will have in the future, says Boris Cipot,<br />

senior security engineer at the Synopsys<br />

Software Integrity Group. "AI will change the<br />

way information is generated, processed and<br />

used. However, the primary question at this<br />

point is: who will control the usage of this AI?<br />

It is understandable that some companies<br />

have established policies that their employees<br />

do not use AI-based technology for workrelated<br />

tasks, as there are still many unanswered<br />

questions from a legal or security<br />

standpoint.<br />

"For instance, legally, who is the owner or<br />

author of what is provided by AI and what<br />

are the flaws AI may have generated? Here<br />

the flaws can be interpreted as vulnerabilities<br />

in source code created by AI or misinformation<br />

that it is susceptible to, based on<br />

materials used to train the AI. As learned<br />

from the past, technology can be used for<br />

good, but also for bad. AI, still in its infancy,<br />

is no different.<br />

"We cannot predict every possible decision<br />

for every scenario around which AI may be<br />

used," points out Cipot. "But AI systems need<br />

to be trained with reliable and accurate<br />

information, tested to ensure they're not<br />

spreading vulnerable or inaccurate output,<br />

and maintained to ensure they're leveraged<br />

in a productive and constructive way."<br />

30<br />

computing security <strong>Jul</strong>y/<strong>Aug</strong>ust <strong>2023</strong> @<strong>CS</strong>MagAndAwards www.computingsecurity.co.uk

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