The problem with antivirus solutionsWhen it comes to security solutions, antivirus tools have been a staple in endpoint security for years. Today, many enterprises rely on antivirus and antimalware solutions to protect against commonly known threats. The problem with these solutions is that they are often slow, comparing activity against threat intelligence feeds to identify if a piece of software is malicious. At the same time, they often miss malicious content stored in PDF and Office files.
Office files with unknown malware are very often missed by traditional AV and endpoint solutions and have a high probability of executing an attack if opened by an end user,” Traditional solutions must see the behaviour of the file after it executes to stop it but by then, the damage is already done. Attackers are getting smarter at evading sandbox and AV solutions and files pass by undetected.” Karen Crowley, director of product solutions at Deep Instinct.that by building its deep learning capability from the ground up, Deep Instinct doesn’t need to call out to the cloud to decide whether activity is malicious or not. It can automatically scan a broad range of file types, including office files, PDFs, and .exe files and detect malicious activity at machine speed.
A look at the antivirus marketThe announcement comes as the global antivirus software market continues to grow, with researchers valuing the market at $3.92 billion in 2021 and anticipating it will reach a value of $4.06 billion in 2022. Deep Instinct’s new solution is competing against these traditional antivirus solutions and aiming to provide an alternative option for securing enterprise environments against advanced unknown malware threats. The provider is in a strong position to advance its position in the market, having raised a $67 million extension to its series D funding round last year, which had already closed at $100 million that same year. One of the main antivirus providers competing against Deep Instinct’s offering is McAfee, which protects Windows, Mac OS, Android, and iOS devices from malware, phishing, viruses and ransomware with malware detection, quarantine, and removal, and scheduled file and application scanning. McAfee most recently announced a net revenue of $2.9 billion in 2020. Another key competitor is Norton, which recently announced raising $702 million in the third quarter of FY 2022 and uses artificial intelligence and machine learning to identify malware, spyware, viruses, and ransomware. When it comes to differentiation, Crowley argues that the solution’s use of deep learning separates it from competitors.
Deep Instinct’s deep learning-based solution is based on the industry’s only deep learning framework developed to fill the gaps in cybersecurity today. There are specific advantages that deep learning brings which enable Deep Instinct to prevent threats faster in <20ms, ensuring we are faster than the malware.” Karen Crowley, director of product solutions at Deep Instinct.
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