Preventing Threats: Human and AI Visibility with NDR Solutions

AI agents don’t make decisions independently. They rely on the data they’re fed. If quality data goes in, quality insights come out. When data is incomplete, fragmented, or inconsistent, SOC teams remain over-burdened, and the promise of a fully autonomous security operation will stay just out of reach. https://xtra.li/46CTB68

As organizations explore autonomous security operations, quality context and clear decision‑making foundations are essential, especially as AI agents become more prominent in SOC workflows. At InStride, we see parallels across disciplines. Automation and AI can unlock huge potential, but the impact depends on how organizations build the foundation, with strategic data, governance, and human expertise at the core. Thoughtful implementation, not just adoption, is what creates real outcomes. #Cybersecurity #AI #DataQuality #WorkforceTransformation #FutureOfWork

the only NDR which feeds your Agentic SOC with real Network Data is EXTRAHOP! Why? Because EXTRAHOP is the only solution which can decrypt your Packages, all others cannot, they just guess what's in it. Provide your Agentic SOC Agent real decrypted Network Data, otherwise you'll never use its full potential!

AI agents are fueling Insider Threats, Compromised Credentials still remain attack vector #1. Meet me at RSAC to learn more about how to detect misbehavior of AI agents, use AI to automate investigation and increase SOC efficiency.

What if your SOC could operate at machine speed, without losing human judgment? AI is reshaping security operations. Routine investigation, context gathering, and response can now happen in seconds, not minutes. This is the shift from alert triage to threat engineering. But AI alone isn’t the answer. The future is an agentic SOC, where AI-powered workflows handle the heavy lifting, and analysts focus on decisions, validation, and response. Think of it as an Iron Man suit for your SOC. Elastic provides the speed, scale, and visibility to stop threats before they spread. If you're rethinking how your SOC needs to evolve, this is worth your time. https://go.es.io/40UI3I3

IF YOU CAN'T PROVE THE PATCH, IT'S NOT A DEFENSE. 🛡️ Most "AI Security" is just sophisticated guesswork. It identifies a vulnerability, hallucinates a patch, and prays it doesn't crash production. In a high-stakes enterprise environment, a "guess" is a liability. It’s why manual triage still rules the SOC. We have to close the Trust Gap. The Ouroboros Standard: We don't just generate a patch. We unleash a Digital Battlefield locally in your VPC. Our Blue Agent (Fixer) proposes a fix. Our Red Agent (Attacker) immediately tries to re-exploit it using real-world attack patterns. If the exploit fails, the patch is verified. If it succeeds, the patch is killed. ✅ Mathematical Proof: If a Red Agent can't break it, a human attacker is less likely to either. ✅ Sovereign Execution: This Agent-vs-Agent war happens entirely within your air-gapped network. ✅ Verification > Generation: In Ouroboros, the "Proof" loop is the primary objective, not just the fix. Stop relying on "AI Spellcheckers" that leave you guessing. Start demanding Verified, Autonomous Defense. 🛡️ [Link in first comment] #SovereignAI #CISO #VerificationLoop #ZeroTrust #Ouroboros

Ever terrified with the thought of AI breaking your production code..?? If yes, the ultimate verification loop you need

AI-powered insider threats aren’t just a security problem—they’re a business risk multiplier. When an AI tool can process and move sensitive data instantly, the cost of a breach isn’t just regulatory—it’s loss of IP, competitive edge, and trust. From an operations perspective, hope isn’t a strategy. True ROI starts with infrastructure that stops data from leaving without approval—even from privileged users or AI connectors. At i4 Ops, we focus on kernel-level enforcement and full export auditability. Are your security investments actually reducing operational risk, or just checking compliance boxes? I will respond to each and every comment, we'll both learn something. #BusinessRisk #SovereignAI #OperationalResilience #InsiderThreat

There is still no universal definition of an AI Agent, which brings us to the most critical layer. 🛡️ Welcome to Part 7: Trust, Resilience, and Security. As data flows in and out of your company, it must be rigorously controlled and protected. A true AI Agent isn't just a black box; it must be built on a foundation of security and trust. Furthermore, it must be reactive to new data in real-time, ensuring that its outputs remain accurate and resilient as your business environment shifts. ⚡️ Without security and resilience, an agent is a risk, not an asset. Check out our upcoming classes:https://lnkd.in/gcF3qm7C #AIAgents #DataSecurity #TechResilience

Stably runs SOC 2 with Vanta — automated, evidence-based, continuously monitored. Real controls, no shortcuts. With the recent allegations against Delve (a SOC2 management platform) around fabricated compliance practices, I wanted to be upfront: at Stably AI, we chose Vanta because it delivers verifiable, independent security—not illusions or quick fixes. Even though our users store only synthetic test data with us (no real PII or production data ever touches our systems), we still treat security as mission-critical: - Strict least-privilege access & data isolation policies - Continuous vuln management & routine security reviews - Automatic sensitive data scrubbing (e.g., test passwords) from all test replays. https://lnkd.in/gTc4hWRs You trust us with your AI testing workflows. We earn that with substance, not speed hacks.