Recently, sharp-eyed users congratulated me with a ‘billion’ items in the Kaspersky Security Network. Thank you! Although, I need to explain what that ‘billion’ is.

First of all, don’t worry. This is not a billion something or other you don’t want on your computer; no, it’s something different, and it’s a little complicated. So let me start with some basic definitions.

Read on: How to get as close as poss to the ideas cybersecurity…

And so it’s come to pass: the abbreviation ‘DDoS‘ has entered the lexicon to such an extent that it often doesn’t get written out in full these days in the general interest newspapers. Well, some actually may still not know what it stands for, but everyone and their dog does know that a DDoS is very bad thing for a certain large target, with something very important suddenly not working, with employees twiddling their thumbs as the network’s down, and with their tech-support’s telephones requiring an ice bath as they’re so hot from ringing – and disgruntled clients swearing down them all the time. What’s more, everyone and their cat also knows that normally a DDoS attack gets carried out by unknown, mysterious – and just plain bad – cyber-enemies.

DDoS attacks have evolved very quickly, as you’ll find out reading this blogpost. They’ve grown much nastier and become a lot more technically advanced; from time to time the adopt utterly unusual attack methods; they go after fresh new targets; and break new world records in being the biggest and baddest DDoS’s ever. But, then, the world in which DDoS find themselves in has evolved very quickly too. Everything and the kitchen sink is online: the number of assorted ‘smart’ [sic] devices connected to the net now far outstrips the number of good old desktop and laptop computers.

The result of these two evolutions running in parallel – of DDoS’s themselves plus the digital landscape in which they dwell – has brought us equally evolved headlines: botnets made up of IP cameras and home Wi-Fi routers breaking DDoS records on size (Mirai), and massive DDoS attacks on Russian banks.

If, earlier, botnets were made up of zombie PCs, soon they’ll be made up of zombie refrigerators, vacuum cleaners, tumble dryers and coffee machines.

Read on: So what’s next?…

Ok. Let’s solve – not the trickiest – but still not the most trivial of tasks.

This year for Christmas I’d like a new laptop – a better, tougher one. I’ve only had the one I’ve got now a little over a year, but with my business schedule and the computer’s constant use and abuse, it’s on its last legs already. It looks tatty, and the keyboard feels like it’s going to fall apart. So, yes: I need an upgrade…

But what device should I get? Crikey. Where to start? Ah yes – at the beginning: with my requirements…

My user requirements aren’t too convoluted, but then again – they’re not mere email/ messenger/ Instagram/ Pokemon, either. Here they are:

• Office, email, browser, different editors and messengers;
• It needs to be able to withstand an intensive workload;
• I’d like a bigger screen than the norm (13″+);
• A full-size keyboard would be good too.

Straight away that rules out smartphones and tablets, and it looks like a mid-size laptop is the way to go.

But which operating system? Well, the list of options isn’t that long these days: Windows, Mac, Linux.

Every system is good – in its own way…

Read on: It turns out there is no choice…

At last – we’ve done it!

I’ve anticipated this day for ages – the day when the first commercially available mass market hardware device based our own secure operating system landed on my desk. And here she is, the beaut.

This unassuming black box is a protected layer 3 switch powered by Kaspersky OS and designed for networks with extreme requirements for data security.

And there’s plenty more in the pipeline where this came from too, meaning the tech will be applied in other Internet-connected bits of kit, aka the Internet of Things (IoT). Why? Because this OS just so happens to be ideal for applications where a small, optimized and secure platform is required.

Read on: Distinctive features…

Hi Folks!

Meet David, the magnificent masterpiece sculpted by Michelangelo at the start of the 16^th century. A photo of his face with that curious furrowed brow featured on our very first anti-cyber-vermin security product at the beginning of the 1990s. Some thought the pic was of me! I still don’t see why; I mean, have you EVER seen my face clean-shaven… and as white as a sheet? )

The choice of David for the retail box was far from random: we found we were kindred spirits – both very much underdogs. KL was a small young company from nowhere throwing down the gauntlet to global cyber-malice in an established international security market; David was the small young guy throwing down the gauntlet to the giant Goliath.

Throughout the years the boxes have changed, but one thing that hasn’t is our… Davidness.

Fate threw plenty of obstacles in our path that could have easily seen us off, but we persevered, hurdled those obstacles – often alone – and became stronger.

To everyone’s amazement we gave users the best protection in the world and became one of the leaders in the global market. We took it on ourselves to fight patent trolls practically alone, and are still successfully fighting them. (Most others prefer to feed them instead.) And despite the rise in parasites and BS-products, we continue to increase investment in true cybersecurity technologies (including true machine learning) for the protection of users from the cyberthreat avant-garde.

Thus, with just a ‘sling and stones’ we slowly but surely keep on killing Goliath ‘saving the world’: regardless of the geopolitical situation, and from any sort of cyberattacks – regardless of their origin or purpose.

And now, fate has brought us a new challenge. And not only us: this is also a challenge for all computer users and the entire ecosystem of independent developers for Windows.

Read on: David vs. Goliath, ver. 2016…

In the early 2000s I’d get up on stage and prophesize about the cyber-landscape of the future, much as I still do today. Back then I warned that, one day, your fridge will send spam to your microwave, and together they’d DDoS the coffeemaker. No, really.

The audience would raise eyebrows, chuckle, clap, and sometimes follow up with an article on such ‘mad professor’-type utterances. But overall my ‘Cassandra-ism’ was taken as little more than a joke, since the more pressing cyberthreats of the times were deemed worth worrying about more. So much for the ‘mad professor’…

…Just open today’s papers.

Any house these days – no matter how old – can have plenty of ‘smart’ devices in it. Some have just a few (phones, TVs…), others have loads – including IP-cameras, refrigerators, microwave ovens, coffee makers, thermostats, irons, washing machines, tumble dryers, fitness bracelets, and more. Some houses are even being designed these days with smart devices already included in the specs. And all these smart devices connect to the house’s Wi-Fi to help make up the gigantic, autonomous – and very vulnerable – Internet of Things, whose size already outweighs the Traditional Internet which we’ve known so well since the early 90s.

Connecting everything and the kitchen sink to the Internet is done for a reason, of course. Being able to control all your electronic household kit remotely via your smartphone can be convenient (to some folks:). It’s also rather trendy. However, just how this Internet of Things has developed has meant my Cassandra-ism has become a reality.

Source

Read on: The phantom ransomware menace…

The other day, Innopolis – the hi-tech town just outside the city of Kazan, Tatartstan, 800 kilometers directly to the east of Moscow – became a “world center of industrial systems’ cybersecurity”.

I was here early this year marveling at the speed of its development and ambitiousness of its plans, all the while turning over its future prospects in my mind.

First of all, let me get all gushing in singing praises: I take my hat off to the determination and persistence of the local authorities, the assuredness of the partners and sponsors, and also the professionalism of the contractors and everyone else who played a part in making Innopolis a reality.

Innopolis was built from nothing in just three years according to a hi-tech concept for hi-tech companies: here there’s excellent infrastructure for both living and doing business, a special economic zone, university, and an international airport not far away.

The year-round conveniences and also the prices here are so attractive it could make you think about dropping everything and moving to Tatarstan at once! In the winter there’s downhill skiing, in summer there’s the golf course, in fall there’s mushroom picking in the surrounding forest, and all year round there’s fishing on the Volga. A 50m² one-bedroom apartment costs a mere 7000 rubles (~$110) to rent and a two-bedroom apartment costs just 10,000 rubles (~$160), which has a lift going down to the underground parking, which incidentally also costs next to nothing – 1000 rubles per month (~$16). Also: the gym + swimming pool costs just 15,000 rubles a year (~$240)!

Moreover, everything is brand spanking new, shiny, modern, stylish and hi-tech – a far cry from its humble, rural/provincial surroundings.

There’s only one thing that spoils things: Innopolis is surrounded by ugly vacant lots and construction sites. Still – no omelet without the proverbial eggs – and it’s obvious that it’s not going to stay that way forever. It looks like it’ll soon either be built up with more swish residential buildings or just made pretty with landscaping, lawns or something else pleasing to the eye.

So, as you can see, it’s no wonder there’s a long line to get here to live/study/work.

Read on: One Small Step into Giant Industrial Security…

We’ve been ‘saving the world’ for, hmmm, now let me see, a good 19 years already! Actually it’s several years longer than that, but 19 years ago was when we registered KL as a (UK) company.

Alas, ‘saving the world’ once and for all and forever just ain’t possible: cyberthreats are evolving all the time, with the cyber-miscreants behind them forever finding new attack vendors across the digital landscape, meaning that landscape will never be 100% safe. However, hundreds of millions of folks all around the world, on different devices and in different life situations, each day have the possibility to protect their privacy and data, safely use online stores and banking, and protect their kids from digital filth, cyber-perverts and con-artists.

And on our side – the ones doing the protecting – there’s plenty of raison d’être for our experts: each photo rescued from ransomware, every blocked phishing site, each shut down botnet, and every cyber-bandit sentenced to prison: each one = cause for professional satisfaction and pride. It means all the hard work wasn’t for nothing; we really are doing good.

In the struggle against cyber-filth, cyber-perverts and cyber-crooks, we’ve got for you a range continually improved tools.

Read on: Sharper than a Valerian steel sword…

It’s just the way it is: the human being is a lazy creature. If it’s possible not to do something, we don’t do it. However, paradoxically this is a good thing, because laziness is… the engine of progress! What? How so? Well, if a job’s considered too hard or long-winded or complex for humans to do, certain lazy (but conscientious) humans (Homo Laziens?: ) give the job to a machine! In cybersecurity we call it optimization.

Analysis of millions of malicious files and websites every day, developing ‘inoculations’ against future threats, forever improving proactive protection, and solving dozens of other critical tasks – all of that is simply impossible without the use of automation. And machine learning is one of the main concepts used in automation.

Automation has existed in cybersecurity right from the beginning (of cybersecurity itself). I remember, for example, how back in the early 2000s I wrote the code for a robot to analyze incoming malware samples: the robot put the detected files into the corresponding folder of our growing malware collection based on its (the robot’s) verdict regarding its (the file’s!) characteristics. It was hard to imagine – even back then – that I used to do all that manually!

These days however, simply giving robots precise instructions for tasks you want them to do isn’t enough. Instead, instructions for tasks need to be given imprecisely. Yes, really!

For example, ‘Find the human faces on this photograph’. For this you don’t describe how human faces are picked out and how human faces differ from those of dogs. Instead what you do is show the robot several photographs and add: ‘These things here are humans, this is a human face, and these here are dogs; now work the rest out yourself’! And that, in a nutshell, is the ‘freedom of creativity’ that calls itself machine learning.

Image source

Read on: ML + CS = Love…

I think the recent article in the New York Times about the boom in ‘artificial intelligence’ in Silicon Valley made many people think hard about the future of cybersecurity – both the near and distant future.

I reckon questions like these will have been pondered on:

• Where’s the maniacal preoccupation with ‘AI’, which now only exists in the fantasies of futurologists going to lead to?
• How many more billions will investors put into ventures which, at best, will ‘invent’ what was invented decades ago, at worst – will turn out to be nothing more than inflated marketing… dummies?
• What are the real opportunities for the development of machine learning cybersecurity technologies?
• And what will be the role of humans experts in this brave new world?

Sometimes when I hang around with A.I. enthusiasts here in the valley, I feel like an atheist at a convention of evangelicals.

Jerry Kaplan, computer scientist, author, futurist and serial entrepreneur (inc. co-founder of Symantec)

What’s going on now in the field of ‘AI’ resembles a soap bubble. And we all know what happens to soap bubbles eventually if they keep getting blown up by the circus clowns (no pun intended!): they burst.

Now, of course, without bold steps and risky investments a fantastical future will never become a reality. But the problem today is that along with this wave of widespread enthusiasm for ‘AI’ (remember, AI today doesn’t exist; thus the inverted commas), startup-shell-companies have started to appear.

A few start-ups? What’s the big deal, you might ask.

The big deal is that these shell-startups are attracting not millions but billions of dollars in investment – by riding the new wave of euphoria surrounding ‘AI’ machine learning. Thing is, machine learning has been around for decades: it was first defined in 1959, got going in the 70s, flourished in the 90s, and is still flourishing! Fast forward to today and this ‘new’ technology is re-termed ‘artificial intelligence’; it adopts an aura of cutting-edge science; it gets to have the glossiest brochures; it gets to have the most glamorously sophisticated marketing campaigns. And all of that is aimed at the ever-present human weakness for belief in miracles – and in conspiracy theories about so-called ‘traditional’ technologies. And sadly, the cybersecurity field hasn’t escaped this new ‘AI’ bubble…

Read on: Too much AI will kill you…