What if the secret to scalable security AI isn't more power, but less? Monolithic agents are hitting a wall of complexity and cost. We believe the future of Agentic Automation belongs to precision over brute force. Dive into our latest post to see why swapping one all-knowing agent for a fleet of specialized Micro-Agents is the only viable path to cost-effective, auditable, and reliable security operations. Read more: https://hubs.la/Q03PP0n20
How Micro-Agents can improve security AI
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What if the secret to scalable security AI isn't more power, but less? Monolithic agents are hitting a wall of complexity and cost. We believe the future of Agentic Automation belongs to precision over brute force. Dive into our latest post to see why swapping one all-knowing agent for a fleet of specialized Micro-Agents is the only viable path to cost-effective, auditable, and reliable security operations. Read more: https://hubs.la/Q03PP0n20
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What if the secret to scalable security AI isn't more power, but less? Monolithic agents are hitting a wall of complexity and cost. We believe the future of Agentic Automation belongs to precision over brute force. Dive into our latest post to see why swapping one all-knowing agent for a fleet of specialized Micro-Agents is the only viable path to cost-effective, auditable, and reliable security operations. Read more: https://hubs.la/Q03PP0n20
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Securing APIs is the foundation of securing AI itself- every interaction, data exchange and AI model call depends on APIs to connect and perform and attackers more than likely will exploit API blind spots. Tune in to our talk to learn more on protecting the intelligence fueling your innovation and your infrastructure. https://bit.ly/42TgYGD
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The Verge reported that a state-backed group used an AI model to handle almost ninety percent of a cyberattack. AP found more than two hundred AI generated influence attempts in a single month, twice what we saw last year. TechRadar highlighted automated scans hitting thirty six thousand per second. It raises a few questions I think more of us should be talking about: ➡️ How do we respond when attackers can iterate and adapt faster than human teams can keep up? ➡️ What parts of our systems are most vulnerable to automated probing at this scale? ➡️ How do we separate everyday activity from machine-driven activity when the volume keeps rising? ➡️ What investments matter most right now if we want to stay ahead rather than react later? Curious what others in security or infrastructure are seeing. 🔗 https://lnkd.in/g5bzVusK 🔗 https://lnkd.in/g4eTjxng 🔗 https://lnkd.in/gkaEpFfU
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Automation isn’t replacing analysts, it’s amplifying them. By integrating AI-driven triage into our MXDR operations, we’re freeing analysts to focus on what matters most: critical thinking, investigation, and prevention. The result? 🚀 Faster response and threat disruption 🎯 Fewer false positives 💡 More time for meaningful analysis The future of security operations isn’t human or AI. It’s Human + AI. #SOCAutomation #MicrosoftSentinel #SecurityLeadership #MXDR #MISA
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Agentic AI is coming to a popular security platform, and the program’s developers hope it will allow for a more streamlined, “one-screen” style workflow. https://bit.ly/4nuT23W
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Agentic AI is coming to a popular security platform, and the program’s developers hope it will allow for a more streamlined, “one-screen” style workflow. https://bit.ly/49iZHdM
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Agentic AI is coming to a popular security platform, and the program’s developers hope it will allow for a more streamlined, “one-screen” style workflow. https://bit.ly/474iNDc
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Your AI agents passed the security audit, but are they actually safe? An AI agent can be “secure” by technical standards and still produce actions that violate business policy, regulatory mandates or ethical norms. The threat isn’t just shadow AI anymore. It’s rogue AI. Systems that are technically protected but behaviorally misaligned. Security protects the perimeter. Runtime governance protects the decision. Our new blog breaks down five ways agents fail even when “secure,” and how Harmony AI’s multi-shield architecture validates behavior before actions execute: 🛡️ Action Shield stops hallucination chains 🛡️ Cost Shield prevents runaway loops 🛡️ MCP Shield enforces scope and blocks tool misuse 🛡️ Compliance Shield maps 1,100+ controls in real time Agentic AI doesn't fail because it’s insecure. It fails because it’s unaware, unsupervised or misaligned. Read our blog for the details: https://lnkd.in/gTthxd5E #agenticAI #AIgovernance #AIsafety #runtimeprotection
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Your AI agents passed the security audit, but are they actually safe? An AI agent can be “secure” by technical standards and still produce actions that violate business policy, regulatory mandates or ethical norms. The threat isn’t just shadow AI anymore. It’s rogue AI. Systems that are technically protected but behaviorally misaligned. Security protects the perimeter. Runtime governance protects the decision. Our new blog breaks down five ways agents fail even when “secure,” and how Harmony AI’s multi-shield architecture validates behavior before actions execute: 🛡️ Action Shield stops hallucination chains 🛡️ Cost Shield prevents runaway loops 🛡️ MCP Shield enforces scope and blocks tool misuse 🛡️ Compliance Shield maps 1,100+ controls in real time Agentic AI doesn't fail because it’s insecure. It fails because it’s unaware, unsupervised or misaligned. Read our blog for the details: https://lnkd.in/gTthxd5E #agenticAI #AIgovernance #AIsafety #runtimeprotection
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