Last month, Tower Research Ventures hosted cybersecurity researcher Vineeth Sai Narajala for a deep dive into the emerging threat vectors posed by generative AI and agentic tools. Key takeaways: - LLMs are probabilistic — unlike traditional software, you can’t guarantee outputs - AI agents act like humans — from external malicious threats to internal accidents - Speed is the risk — agents can cause damage not just within seconds, but within CPU cycles - Security tradeoffs — static permissions inherited from root humans vs. AI-native just-in-time credentials We’re investing in solutions built for this new era of AI + security. If you’re building in this space, let’s talk — email ventures@tower-research.com. Read the full recap: https://lnkd.in/gzFw7Mse
Tower Research Ventures on AI and Cybersecurity Risks
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Cybersecurity isn’t chess—it’s blitz chess on a clock. AI moves fast, processing floods of alerts at machine speed. Humans move slower, but bring context, judgment, and accountability. In this new blog, Radware customers share why AI accelerates detection but humans must make the final call—especially when decisions impact operations, reputation, and trust. 👉 Read the full blog by Radware Customers here https://lnkd.in/dPU3zbAu
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🎓 CARES Lab Announcement A talk on “Fusing Flow and Packet Modalities: Towards Graph-Based, Interpretable Intrusion Detection” will be presented today at the IEEE GBS Section (11:00 AM to 12:00 PM CST) by a CARES Lab researcher. The session will highlight ongoing research focused on advancing Intrusion Detection Systems (IDS) through the fusion of flow-level and packet-level data, leading to context-aware, temporally enriched, and graph-based representations of network activity. Key discussion areas include: - Leveraging graph learning for contextual and semantic understanding of attacks - Enhancing interoperability across diverse network and detection environments - Promoting interpretability and transparency in IDS, making security insights accessible to broader audiences The talk aims to demonstrate how integrating graph-based intelligence and multimodal fusion can help shape the next generation of AI-driven and explainable cybersecurity systems. 🗓️ Join the talk today (Register at the following Link): 🔗 https://lnkd.in/g9ms5CsX #CARESLab #CyberSecurityResearch #GraphLearning #IntrusionDetection #ExplainableAI #IEEE #NetworkSecurity #AIResearch #CyberDefense
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Microsoft led a study revealing that AI-crafted toxins can evade DNA security screens. The research showed that up to 100% of AI-generated ricin-like proteins bypassed detection by current biosecurity systems. Microsoft's Eric Horvitz and Bruce Wittmann conducted the study to identify vulnerabilities in DNA biosecurity safeguards. Following the findings, most vendors updated their software, improving detection rates to 72%. Read more: https://lnkd.in/eXJuZSzs 📰 Subscribe to the Daily AI Brief: https://lnkd.in/eq56P3bj #ai #artificialintelligence #ainews #aistartup
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Cybersecurity isn’t chess—it’s blitz chess on a clock. AI moves fast, processing floods of alerts at machine speed. Humans move slower, but bring context, judgment, and accountability. In this new blog, Radware customers share why AI accelerates detection but humans must make the final call—especially when decisions impact operations, reputation, and trust. 👉 Read the full blog by Radware Customers here https://lnkd.in/etfyABRq
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Regional Director @Radware | Growing Market Share, Partnering for Success. Looking for the best cloud companies to deliver and grow.
Cybersecurity isn’t chess—it’s blitz chess on a clock. AI moves fast, processing floods of alerts at machine speed. Humans move slower, but bring context, judgment, and accountability. In this new blog, Radware customers share why AI accelerates detection but humans must make the final call—especially when decisions impact operations, reputation, and trust. 👉 Read the full blog by Radware Customers here https://lnkd.in/eHFtM-Q7
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Regional Manager - Eastern Canada & Public Sector at Radware | Protecting public & private organisations from cyber-attacks targeting critical infrastructure, web applications & cloud workloads.
Cybersecurity isn’t chess—it’s blitz chess on a clock. AI moves fast, processing floods of alerts at machine speed. Humans move slower, but bring context, judgment, and accountability. In this new blog, Radware customers share why AI accelerates detection but humans must make the final call—especially when decisions impact operations, reputation, and trust. 👉 Read the full blog by Radware Customers here https://lnkd.in/enJarDRn
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Cybersecurity isn’t chess—it’s blitz chess on a clock. AI moves fast, processing floods of alerts at machine speed. Humans move slower, but bring context, judgment, and accountability. In this new blog, Radware customers share why AI accelerates detection but humans must make the final call—especially when decisions impact operations, reputation, and trust. 👉 Read the full blog by Radware Customers here https://lnkd.in/eKaJ7G2M
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Cybersecurity isn’t chess—it’s blitz chess on a clock. AI moves fast, processing floods of alerts at machine speed. Humans move slower, but bring context, judgment, and accountability. In this new blog, Radware customers share why AI accelerates detection but humans must make the final call—especially when decisions impact operations, reputation, and trust. 👉 Read the full blog by Radware Customers here https://lnkd.in/dxH_QKed
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Director - Cloud Security Services (EMEA) | Passionately enabling organisations of all shapes and sizes to SECURELY navigate their Cloud Transformation journeys!
Cybersecurity isn’t chess—it’s blitz chess on a clock. AI moves fast, processing floods of alerts at machine speed. Humans move slower, but bring context, judgment, and accountability. In this new blog, Radware customers share why AI accelerates detection but humans must make the final call—especially when decisions impact operations, reputation, and trust. 👉 Read the full blog by Radware Customers here https://lnkd.in/d2dxWVKH
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Security Expert @Radware | Driving Enterprise Cyber Resilience | TryHackMe | Graduate M.Sc. Business Economics
Cybersecurity isn’t chess—it’s blitz chess on a clock. AI moves fast, processing floods of alerts at machine speed. Humans move slower, but bring context, judgment, and accountability. In this new blog, Radware customers share why AI accelerates detection but humans must make the final call—especially when decisions impact operations, reputation, and trust. 👉 Read the full blog by Radware Customers here https://lnkd.in/dckuBMcM
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Senior Data Scientist @ Nestlé Purina North America | Machine Learning | Deep Learning | LLM | PyTorch | Generative AI | computer vision | NLP
2wA crucial and timely discussion. Proactively addressing these novel AI-native risks is the foundation upon which all future innovation must be built. Investing in and developing this new security paradigm is essential for ensuring a safe and trustworthy AI-powered ecosystem. Vital work Tower Research Capital