The virtual security guard: AI-based security startups have been the toast of the
AI-based security startups have particularly been in the lead. As per DSCI, 63 per cent of data security products leverage AI/ML to enhance their production capabilities, perhaps because technologies such as AI/ ML are scalable, fast, efficient, and more accurate. “AI is like a foundational technology for several products such as network security, automated vulnerability management and privacy protection technologies. It is also used in self-healing technologies apart from deception, which is a proven area,” says Rama Vedashree, CEO, DSCI. “As the traditional models of cybersecurity collapsed, CISOs began to realise the need to introduce AI/ML in their security strategy which only benefited such start-ups”, adds Jaspreet Singh, Partner-Cybersecurity, EY India.
But it is estimated that 90 per cent of all startups fail, so what does it take for a startup to survive in such a competitive and thriving segment? “For us, it has been simplicity, highly intuitive user interface, end-to-end coverage, holistic approach, and ease of implementation,” says Bala Venkatramani, Co-Founder & CEO, Securden, a cybersecurity startup that uses AI/ML to understand the behaviour of privileged users and thereby prevents exploitation of access by external hackers and malicious insiders.
As the threat landscape evolves, security providers have to be always on their toes, and businesses have to adopt a more unified approach to cyber risk management. Some of the biggest challenges that security and risk management leaders face are the lack of a consistent view at a micro and macro level, the ability to prioritise what’s most critical, and maintaining transparency across the organisation when it comes to cybersecurity. “SAFE is built on the premise of these challenges and our ability to provide realtime visibility at both a granular IP level and at an organisational level across people, process, technology, cybersecurity products, and third parties brings a completely new approach to enterprise cyber risk management,” says Saket Modi, Co-founder & CEO, Safe Security, a cybersecurity platforms company.
Growing at a mindboggling 450 per cent, WiJungle, another AI-based security startup uses AI for automation at the network level and threat detection and analysis. The NetSec (network security) vendor offers a solution for office and remote network security. “It is the broad spectrum of capabilities that we offer within one product that makes management simple and synchronised,” says Karmesh Gupta, Co-Founder & CEO, WiJungle. So, how is the segment evolving? Cybersecurity has witnessed multiple transformations due to remote working, a key one being increased acceleration in the shift towards opex or cloud-delivered security.”
As advances in AI and ML move at breakneck speed, use of AI and ML is expected to grow further in cyber defences. Like Sentry AI, which uses AI to power video analytics solutions for physical security. It processes security camera feeds to identify security and safety risks, such as intrusion by people and vehicles in restricted areas or at restricted times or the presence of unknown people or vehicles, people falling, violence, etc. “Sentry AI is like a security guard that will transform security and safety as we know it. Our AI thinks like a…
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