Cybersecurity AI Platform Astelia Raises $35M

AI-native cybersecurity platform Astelia has raised $35 million across its seed and Series A rounds. The platform, built by alumni of Israel's National Red Team, uses LLMs and agentic workflows to automate security management, highlighting the trend of AI agents tackling complex enterprise problems.

The $35 million financing for Astelia was structured as a $10 million seed round and a $25 million Series A. The rounds were led by Index Ventures and Team8, with Holly Ventures also participating. Team8, a venture group co-founded by former commander of Israel's Unit 8200 Nadav Zafrir, specializes in building companies in cybersecurity and AI. Astelia's founders, CEO Alon Noy, CTO Nadav Ostrovsky, and CPO Roy Rajwan, all served in leadership roles within the IDF's National Red Team and other elite intelligence units like Unit 8200 and Matzov. Their work involved conducting attack simulations on Israel's critical infrastructure, often in collaboration with U.S. Cyber Command, earning them the Israel Security Award. Noy stated their offensive and defensive experience revealed that most vulnerabilities defenders chase are irrelevant to how real attacks work. The company, headquartered in New York, plans to use the capital to double its R&D team in Israel and expand its go-to-market teams in the United States. CEO Alon Noy anticipates the company's headcount will grow from around 30 to between 60 and 70 by the end of the year. This expansion is happening as organizations face an average of 135 new software vulnerabilities daily, a 40% increase from the previous year. Venture capital investment in AI-native cybersecurity solutions has surged, with VC firms investing $119 billion in the sector in 2025. AI-focused security firms closed the most deals (144) in 2025. This trend is driven by the need to protect expanding attack surfaces created by the corporate use of AI agents and the increasing use of AI by attackers to automate and accelerate breaches. For engineers looking to build AI applications, frameworks like LangChain offer tools for creating sequences of operations, managing memory for conversations, and enabling question-answering over private documents. The development process for LLM applications involves selecting a foundation model, customizing it through prompt engineering, and setting up the necessary machine learning infrastructure for deployment. Engineers building side projects while employed often find success by time-blocking 5-10 hours per week and using productivity sprints. Successful bootstrappers recommend starting with a narrow niche to solve a specific pain point and building a no-code or low-code Minimum Viable Product (MVP) to validate the idea before quitting a full-time job. This approach provides the stability of a steady income while testing a product's market fit. The NYC startup scene is a growing hub for enterprise AI, with companies like Hebbia, EliseAI, and Dataminr actively hiring for roles like Machine Learning Engineer and AI Product Manager. Y Combinator-backed AI startups in New York, such as Concourse (AI agents for finance) and Prosper (AI phone agents for healthcare), are also expanding their teams. Personal productivity for side projects requires ruthless prioritization and optimizing your work environment to minimize setup time. Successful indie hackers often build an audience on platforms like Twitter or Indie Hackers before they launch, sharing their progress to attract early users. The key is consistency and focusing on small, regular bursts of progress rather than waiting for large blocks of free time.

Get your own daily briefing

Scout delivers personalized news, insights, and conversations tailored to your role and industry.

Download on the App Store

Shared from Scout - Be the smartest in the room.