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MCP AI agent security startup Runlayer launches with 8 unicorns, $11M from Khosla’s Keith Rabois and Felicis
Title: Runlayer Launches with Hefty Unicorn Support to Ensure Secure Deployment of AI Agents
AI has been disrupting businesses continuously with its adaptability. The graph is steeply upwards and it doesn’t seem to plateau anytime soon. Enterprises are using AI-based software solutions at an unprecedented rate, and surprisingly, businesses including IT, healthcare, retail, and many more are relying heavily on these AI-based technologies. There is a major concern of security though, which is concerning for the users of these powerful AI algorithms.
To help enterprises address this, Andrew Berman, a three-time founder of startups such as ScaleArc, SkyKick, and ChannelApe, has launched a stealthy new startup called Runlayer. The startup is geared towards ensuring the secure deployment and operation of an AI agent in the environment of businesses.
On the first day, Runlayer has garnered the attention of eight unicorn firms, which have backed the startup with a jumbo sum of $11 million in its seed funding round. Among the list of eight unicorns include Khosla’s Keith Rabois and Felicis, who believe in the potential of Runlayer.
Adding a layer of security to AI agents is not a common enterprise feature but with the growing threats of malicious hackers, it has become more critical than ever in today’s digital world. Runlayer plans to address this concern with the help of its technology, which will allow businesses to place an “agent” within AI systems and orchestrate all sorts of sensitive data.
Runlayer not only maintains the security of the organization data, but it also provides businesses with assurances that their AI systems are working efficiently. This would save companies tons of money as it would require significantly less personnel to manually monitor the AI systems. In addition
Source: AI News & Artificial Intelligence | TechCrunch, Link
#TC #Startups #Security #AI #Keith Rabois #mcp #felicis #AI agents #ai security
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