In cybersecurity, AI is often stands for “already implemented”. Security vendors have leveraged AI-based technology to leverage existing knowledge databases to address talent shortages. As an investor focused on supporting expansion-stage B2B startups in the cybersecurity, AI, and DevOps space, he has recently invested in cybersecurity company Huntress and AI startup Weights & Biases. and cybersecurity companies, I feel fortunate to have a unique perspective on both. It is scheduled to take off after 2024.
From my perspective, organizations today face an uphill battle when it comes to securing their data and networks. Cyber ​​threats are becoming more frequent and severe as the potential attack surface grows and hackers organize increasingly sophisticated schemes. Thanks to the power of artificial intelligence (AI), malicious attackers are becoming more efficient, conducting more personalized attacks, and increasing their scale, resulting in billions of dollars in lost business. .
Meanwhile, organizations of all sizes are innovating new defenses at an astonishing rate, often leveraging advanced AI capabilities as well. Businesses are hungry for solutions that can further enhance their efforts. According to Gartner, global corporate security spending will reach an estimated $188 billion this year and is expected to rise to $215 billion by 2024. Security software spending is the IT area least likely to be cut during an economic downturn. morgan stanley.
The next wave of successful startups will help businesses leverage GenAI to prevent attacks while increasing organizational productivity.
Over the next year, we aim to partner with players to help cybersecurity teams increase productivity and address talent shortages while addressing growing threats.
What VCs are looking for in the next wave of cybersecurity startups
The emergence of large-scale language models (LLMs) such as ChatGPT has created new opportunities for AI-driven innovation within the industry. Here are some of the features investors are looking for in the next successful cybersecurity startup.
Proactive approach to customer education
During the cloud computing revolution, many companies are rushing to implement cloud solutions, putting security on the back burner. This has allowed cybersecurity to catch up to some extent. So far, the opposite is true for generative AI (GenAI). Businesses are keen to reap the benefits of technology, but are very aware of the risks of compromising sensitive information and betraying customer trust. Concerns are growing after major data breaches occur at companies such as samsung. In response, many companies have been reluctant to launch GenAI initiatives, limiting usage to a small cohort or, in some cases, issuing blankets. prohibit.
Source: techcrunch.com
