Deep Instinct, a deep learning threat prevention platform provider, believes insurance backed by a warranty is the best way to raise the standards and expectations of cybersecurity solutions for organizations, and in the cases of the mass ransomware attacks on the US, our nation’s critical infrastructure.
In fact, they are paving the way for this with the industry's most comprehensive guarantee and a ransomware warranty that is three times higher than any other cybersecurity company – up to $3 million per company for a single breach.
We sat down with Chuck Everette, Director of Cybersecurity Advocacy at Deep Instinct to talk about the latest ransomware attacks and how deep learning can be a powerful tool in the cyber fight.
According to the 2021 Verizon DBIR report, ransomware appearances doubled the previous year’s rate. Why do you think this is?
More and more threat actors have found profits following successful double-extortion campaigns by not only holding encrypted systems for ransom but also doubling down and threatening to release stolen data publicly if additional ransom is not paid. Additionally, the Ransomware-as-a-Service (RaaS) and the Ransomware-as-a-Company (RaaC) tactics are picking up tremendous traction due to the massive ransoms paid by companies in just the first part of 2021.
As a result of these high-profile attacks, I predict the trend will continue to increase, ultimately tripling 2020 rates with higher ransoms being demanded as others try to follow, mimic, or “out do” other groups for a chance to be in the spotlight.
The success rate of these attacks also increased by 6%. Where are security companies going wrong?
99% of security companies and vendors have been leveraging antiquated technology to detect and remediate threats only after they have already infiltrated the system. In turn, these organizations are only being alerted after a threat actor has gained a foothold in the environment of the victims. In order to combat this reactive mindset, there needs to be a fundamental shift in thinking around how to prevent these types of threats.
There seems to be a pattern of companies paying ransom, enticing hackers to make more ransomware and attacking again. How can we break this cycle?
This is a very tricky problem. Ultimately, companies need to close their doors to prevent these types of attacks from happening. Good, basic security hygiene through implementing best security practices is critical.
It has been projected that 95% of cloud security failures will be due to human error. Most notably, the adoption of phishing based attacks using trending topics like COVID-19, remote work, stimulus checks, policy updates, and a number of social engineering tactics, rank at the top for cloud security failures in 2021.
The leading anti-phishing strategies for cloud security begin with educating the end-users. Good security hygiene is the cornerstone to a good security stack.
What is deep learning and how is it so effective against these attacks?
Deep Learning is an advanced branch of artificial intelligence technology inspired by the way the human brain thinks. Areas in which deep learning has been applied exhibit groundbreaking results. For example, when deep learning was applied to computer vision tasks, its results surpassed human detection capabilities. Applying deep learning technology to cybersecurity resulted in exceptional detection and prevention rates with unmatched accuracy.
By utilizing a new deep learning framework similar to that which has revolutionized other fields, including image recognition and natural language processing, Deep Instinct now provides a never before seen approach to cybersecurity. Until now, there have only been five deep learning frameworks used across various industries. Deep Instinct took on the challenge and developed the sixth recognized framework - the only one built for cybersecurity. Through patented deep learning technology, the Deep Neural Network (DNN) can learn in ways that no other artificial intelligence can. With 80% of successful breaches leveraging new or unknown zero-day attacks, Deep Instinct’s transformational approach to security through deep learning is more critical than ever before.
Deep Instinct has the highest insurance guarantee on the market. Amongst claims that large insurance guarantees may be a target for hackers, what makes Deep Instinct so confident against these potential attacks?
Deep instinct works when others fail to do so. As threats and actors evolve, it is becoming evident how detection-first based methodology is failing to protect businesses’ most critical assets. In the past year, cybercrime has exploded due to the pandemic ushering a shift to remote work and opening more attack vectors than ever before. Our deep learning solution focuses on helping prevent these potential attacks and provides companies a renewed peace of mind. While many are touting machine learning and AI within their product, deep learning takes it a step further by removing the burden of analyzing threat data, something often required of many EDR solutions. As a result, Deep Instinct stops unknown threats in less than 20 milliseconds, reducing false positives by 99%.
By implementing Deep Instinct’s DNN, our customers have seen an 80% decrease in endpoint protection management time, allowing engineers to spend less time analyzing data and more time on critical business priorities. Our goal is to leverage deep learning by not only getting ahead, but staying ahead of threats to keep each environment secure.
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