Tag Archives: humachine

Darwinism in IT Security: Adapt or Die.

“It is not the strongest of the species that survives but the most adaptable to change.”
– Charles Darwin

It’s been a while since I’ve opined on these here cyber-pages on my favorite topic – the future of IT Security, so here’s making up for that. Get ready for a lot of words – hopefully none too extraneous – on the latest Infosec tech, market and tendencies, with a side dish of assorted facts and reflections. Popcorn at the ready – off we go…

I’ll be writing here about ideal IT Security and how the security industry is evolving towards it (and what’s happening along that evolutionary road towards it), and how all that can be explained with the help of Mr. Darwin’s theory of evolution. How natural selection leads certain species to dominate, while others fall by the wayside – left for the paleontologists in years to come. Oh, and what is symbiosis, and what are parasites.

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I’ll start with some definitions…

Almost-Perfection in an Imperfect World.

Perfect protection – 100% security – is impossible. The IT Security industry can and should of course aim for perfection, in the process creating the best-protected systems possible, but each inching nearer 100% costs exponentially more – so much more that the cost of protection winds up being greater than the cost of potential damage from the harshest of scenarios of a successful attack.

Ideal protection is that where the cost of a successful attack is greater than the gain

Accordingly, it’s logical to give the following definition of realistic (attainable) ideal protection (from the viewpoint of potential victims): Ideal protection is that where the cost to hack our system is greater than the cost of the potential damage that could be caused. Or, looking at it from the other side of the barricades: Ideal protection is that where the cost of a successful attack is greater than the gain attackers would receive.

Of course, there’ll be times when how much an attack may cost doesn’t matter to the attackers; for example, to state-backed cyberwar-mongers. But that doesn’t mean we just give up.

So how do we develop a security system that provides realistic (attainable) ideal (maximum) protection?

Read on: The survival of IT’s fittest…