Ashmeet Sidana

Container security has reached a critical inflection point. Engineering teams face an impossible choice between adopting minimalist proprietary systems that sacrifice compatibility or accepting endless vulnerability backlogs. Which is why I'm excited to share that N47 is leading Echo's Series A! Echo delivers true zero-CVE images for enterprises without any operational disruption. What makes this architecturally significant is their AI-native automation, operating at the speed and scale required to counter attackers who are already weaponizing AI to exploit vulnerabilities faster than human defenders can respond. I have been incredibly impressed by co-founders Eilon Elhadad and Eylam Milner, and am excited about what’s to come. We're confident they're building something generational. Welcome to the zero-CVE future! Learn more about our partnership here: https://lnkd.in/eBsmWFxz

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Today, we're welcoming ORION Security to the Norwest portfolio. The #DLP market has grown to $5B, yet most solutions are still built on thousands of static, human-authored policies. Spending time with Nitay Milner (CEO & Co-Founder) and Jonathan Kreiner (CTO & Co-Founder) in Tel Aviv reinforced why ORION stands apart. Their work is grounded in firsthand experience with the limitations of legacy DLP, guiding their passion and urgency to pave the way for an autonomous, context-driven approach that confronts today’s evolving risks head‑on. Looking forward to seeing what the team builds next as enterprises adopt autonomous DLP at scale. ��� https://lnkd.in/gH7vXs4x  

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Folks - I am thrilled to share that Exaforce has raised $75M in Series-A funding from Mayfield, Khosla Ventures, and others. We’re on a mission to 10x the productivity and efficacy of security and operations teams. Check out our vision for reimagining the SOC with Humans + AI bots: https://lnkd.in/gwJcYwzF Thank you Navin Chaddha, Vinod Khosla, Umesh Padval, and Nagraj Kashyap for believing in our mission and the team.

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Slingshot Insights acquires Noble Insights Exciting to see consolidation in the expert network space. This will likely lead to more innovation, more proprietary content via transcripts and surveys and the opportunity to see a bigger expert network emerge.

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As I'm leaving AWS re:Invent in Vegas, I’m reminded of a counterintuitive truth: competing with the public clouds is often really good business VCs love to ask, “Why wouldn’t the incumbent do this?” But in markets this large (and evolving this quickly) that’s rarely the right question. The real questions are: Who can assemble the best team, get to market fastest and with the most focus? And where are there opportunities to partner with the biggest players rather than compete? We’ve seen this pattern repeat across the ecosystem: -People assumed Vercel and AWS were destined to compete. Today, they’re strategic partners with CEO Guillermo Rauch in the keynote -Snowflake vs. Amazon Redshift. Now, AWS is one of Snowflake’s strongest distribution channels -In Datadog’s early pitches, the concern was, “If it’s just monitoring AWS, why not use CloudWatch?” Fast forward to now, and Datadog is now $50B+ public company We’re going to see the same dynamics play out with OpenAI and Anthropic. These are becoming foundational platforms. But that doesn’t preclude incredible companies from being built on, next to, and even around them. Some will look competitive. Many will end up as partners. And the biggest outcomes often start in those gray zones

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💡 AI doesn’t just change how code is written – it changes expectations and outcomes. In the final section of Jellyfish’s AI Adoption Guide, we explore how expectations for engineering leaders are evolving as AI becomes embedded across the SDLC. Because the organizations pulling ahead are treating AI as a transformation, not a tooling upgrade. Inside, you’ll explore: - Why AI adoption is quickly becoming a leadership mandate, not an option - How to balance ambitious goals with realistic expectations - What cultural investments are required to sustain long-term gains - How data can be used to align executives and engineering teams The teams that win in the AI era won’t just have better tools – they’ll have leaders who know how to guide change. Download today: https://lnkd.in/dut_6WpQ

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Lots of news out of Hetz Ventures portfolio today - Nimble announced their $47M Series B, led by Norwest with participation from Databricks Ventures. We've been proud to back Uriel Knorovich, Menachem Salinas and the entire Nimble team since early on, turning the live web into trusted, decision-grade data for AI agents and mission-critical workflows. Tonic Security launched the Tonic Mobilization Coordinator, the industry's first agentic remediation orchestrator. It automatically drives exposure remediation end-to-end, moving security teams from knowing they have risk to actually reducing it, continuously and at scale. Well done Sharon Isaaci, David Warshavski and Gregory Ainbinder. Anima launched their UX Design Agent on Product Hunt today: https://lnkd.in/demUMrUX. Designers and product teams can now go from prompt, Figma file, or live website to on-brand, production-ready frontend code in a single shot. Deepchecks released Know Your Agent (KYA), their answer to evaluation in the agentic era. Borrowing from the KYC framework in financial services, it gives teams a structured way to understand how their agents actually behave across complex multi-agent workflows. #proudseedinvestor https://lnkd.in/dyGTAHcg

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GPUs have gotten faster, and models have gotten larger. But storage is still stuck in the past. Modern AI workloads need instant access to huge datasets. Instead, teams waste time on slow retrieval, idle GPUs, and costly pipelines. Archil is changing this. It delivers object-storage scalability at block-storage speeds. The platform allows for seamless, high-performance access to massive datasets. By eliminating cold starts and accelerating throughput 30X, Archil enables teams to fully utilize their infrastructure and move faster on training, analytics, and AI deployment. Archil’s founder Hunter Leath brings rare technical depth and operating experience from building Amazon EFS and optimizing Netflix’s cloud performance. This is a team building the foundational layer that AI workloads desperately need. I’m thrilled to lead Archil’s seed at Felicis with Nancy Wang and support their mission to reinvent cloud storage for the AI era. https://lnkd.in/gWueXhzz

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We're excited to lead the Series-A round of Cloudburst Technologies along with prior investors including Strategic Cyber Ventures (SCV), CoinFund, Coinbase (Coinbase Ventures), Bloccelerate VC, and IQT (In‑Q‑Tel). Operating at the intersection of #AI and crypto-related social media data, Cloudburst Technologies is redefining how the industry approaches risk and intelligence. While most blockchain analytics are limited to on-chain activity, Cloudburst focuses on the crucial off-chain ecosystem. By tracking social sentiment, fraud networks, illicit actors, scams, and emerging narratives, they deliver real-time intelligence and predictive market insights. This comprehensive approach gives regulators, law enforcement, exchanges, investors, and enterprises a proactive edge in spotting new trends and combating crypto-enabled financial crime. The Cloudburst platform is powered by proprietary AI and data science models. It leverages millions of off-chain data points, spanning everything from Telegram and Discord groups to regulatory filings and breaking news. This capability enables clients to detect emerging fraud, enhance KYC/KYT workflows with social media intelligence, quantify reputational and financial risk, and improve investment strategies with behavioral data. Cloudburst is already trusted by major crypto exchanges, compliance teams, and government agencies. With this latest funding, Cloudburst will expand its AI and data science teams, accelerate product development, and scale globally to serve financial institutions, regulators, and exchanges. More here: Coindesk: https://lnkd.in/dDxQBKMh Newswire: https://lnkd.in/dCRughTc Ventureburn: https://lnkd.in/dmP4NzJz

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Technology leadership thrives with integrity and teamwork. Impressive conversation curated by Salvi Media on AI and cybersecurity with Lane Bess (Deep Instinct, ex-CEO Palo Alto Networks ) and Dan Streetman (Tanium, ex-CEO TIBCO). The rise of AI across code bases and related security operations has outpaced human capabilities to protect our digital and physical infrastructure. This is the leadership imperative from humans. Upskilling our national workforce as early as early education is a national imperative, one that requires all of us. Common themes in our approaches: the rise of “dark AI” makes visibility and predictive security essential; leadership rooted in clear strategy and transparency builds long-term trust; and the widening talent gap highlights the need for scalable platforms that empower operators with responsible AI. These are the same dynamics we track in our investing, where the best founders are building durable companies by marrying technical excellence with human integrity and teamwork.

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As AI workloads eat up global computing supply, DRAM prices are surging like never before—creating major challenges for teams trying to plan out their data center spend. One of my portfolio companies, Mext, is addressing the largest cost component in the datacenter: server memory (DRAM). From being on the board of Redis for the last twelve years, I’ve learned a lot about the various aspects of this problem and approaches to solving them. Mext found a breakthrough, using new AI techniques, for dramatically reducing the amount of server-DRAM required to run applications, all while maintaining performance. It intelligently manages the server’s memory, keeping hot pages (i.e., those in use by applications) in fast DRAM and offloading cold pages (i.e., those less used) to a much less expensive memory tier (e.g., NVMe Flash). Key to the approach is ensuring cold memory pages that are about to be accessed by an application are back in DRAM before the application needs them or notices that they were gone. This is done without modifications to the application or the OS – so it can run in the cloud or on-premise. Mext thus allows applications to either run using less DRAM or keep their DRAM footprint but do more with it. They're hosting a webinar along with Fred Weber (former CTO of AMD) on Jan 22nd at 10am pacific time. You can register here: https://lnkd.in/gXe9GCeE

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