Askeal combines AI with community expertise to provide evidence-backed security insights, launching its beta with a $1.1 million pre‑seed round.

Askeber, the AI cybersecurity assistant that gives verifiable, expert‑backed answers, is set to reshape how security teams access trusted guidance. The startup launched its beta version after closing a $1.1 million pre‑seed round, positioning itself at the intersection of artificial intelligence and community‑driven expertise.

How Askeber Works

Askeber blends large‑language‑model capabilities with a vetted network of cybersecurity professionals. When a user asks a question, the AI drafts an initial response, which is then reviewed and annotated by subject‑matter experts before being delivered to the requester. This two‑step process ensures that answers are not only fast but also backed by verifiable evidence such as vendor documentation, CVEs, or industry standards.

Community‑Driven Verification

The platform’s community model mirrors peer‑review processes used in academic research. Contributors earn reputation points for providing accurate citations and for correcting AI‑generated content. Over time, the system builds a trusted knowledge base that can be referenced across multiple queries, reducing the risk of misinformation that often plagues generic AI chatbots.

Beta Launch Features

  • Real‑time answer generation with AI‑drafted content
  • Expert review layer that adds citations and context
  • Searchable archive of previously verified answers
  • Integration hooks for SIEM and ticketing platforms

Early adopters in the beta program report faster incident response times, noting that the assistant’s ability to surface relevant CVE details and mitigation steps cuts down on manual research. The platform also supports customizable alerting, allowing teams to receive notifications when new, relevant threats are added to the knowledge base.

Funding and Future Roadmap

The $1.1 million pre‑seed round was led by venture firms focused on security and AI innovation. Funds will be allocated to scaling the expert community, enhancing the AI’s reasoning capabilities, and expanding integrations with major security orchestration tools. The company aims to move from beta to a full commercial release within the next twelve months.

Our goal is to make AI‑driven security advice as trustworthy as a seasoned analyst’s recommendation, but at machine speed.

Askeber’s approach addresses a growing concern that generic AI assistants may provide inaccurate or outdated security guidance. By embedding a human verification layer, the startup seeks to combine the best of both worlds: the speed of AI and the reliability of expert insight.

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