Highlights:

  • Dropzone AI asserts that such investigations can sometimes take up to 40 minutes.
    To expedite the process, the company has developed a platform that leverages artificial intelligence to delineate the extent of cybersecurity incidents automatically.
  • Using natural language prompts enables users to request specific data points about a cybersecurity incident. The chatbot automatically locates the systems that contain the requested information.

Dropzone AI Inc., a startup that assists cybersecurity teams in swiftly investigating and addressing breaches, has secured USD 16.85 million in new funding.

As part of Dropzone’s AI cybersecurity funding (Series A round funds) – the company recently announced that Theory Ventures led the investment. Returning backers Decibel Partners, Pioneer Square Ventures, and In-Q-Tel also contributed to the round. Dropzone AI’s total external funding surpasses USD 20 million with this raise.

When one of a company’s breach detection tools identifies suspicious activity, cybersecurity analysts must initiate an investigation to ascertain the extent of the incident.

Initially, they need to ascertain whether the alert is a false positive or if there has indeed been a breach. If it’s the latter, the cybersecurity team must identify which systems were impacted and devise solutions to rectify them.

Dropzone AI asserts that such investigations can sometimes take up to 40 minutes. To expedite the process, the company has developed a platform that leverages artificial intelligence to delineate the extent of cybersecurity incidents automatically. Dropzone AI asserts that its software can decrease the time required to investigate a breach alert to as little as three minutes.

The platform gathers data about breaches from a company’s firewalls, endpoint protection software, and other cybersecurity systems. Dropzone AI subsequently utilizes language models to compile the collected data into incident reports. According to the company, each report includes a natural language summary of the described breach and recommendations on how to remediate it.

Dropzone AI’s algorithms also uncover contextual details about cyberattacks.
For instance, that context might encompass details on which compromised systems in a breach contained customer records. Cybersecurity teams can utilize that data to prioritize their remediation efforts.

When an analyst may require more detailed information about a breach, Dropzone AI has integrated a chatbot into its platform. Using natural language prompts enables users to request specific data points about a cybersecurity incident. The chatbot automatically locates the systems that contain the requested information.

Specific cybersecurity tools, like Splunk’s namesake platform, incorporate custom query languages. When required, Dropzone AI’s chatbot can generate queries in those languages to retrieve data requested by cybersecurity teams. This accelerates the process and diminishes administrators’ need to acquaint themselves with platform-specific scripting syntaxes.

“Dropzone AI gives defenders extra brainpower through AI reinforcements that tackle the routine and time-consuming tasks of investigating alerts, allowing SecOps teams to focus on the high-priority threats and projects,” stated the founder and Chief Executive, Edward Wu.

Dropzone’s AI cybersecurity funding (Series A funding) will be utilized to develop additional features for its platform. Simultaneously, the company will expand its go-to-market efforts to attract more customers. It targets both the enterprise market and managed security service providers that safeguard the infrastructure of other organizations on their behalf.