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𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: 𝟯 𝗧𝗿𝗲𝗻𝗱𝘀 𝗗𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮 🙌 Today, across cloud, SaaS, and AI systems, data is in constant motion. Static scanning and siloed tools were designed for snapshots. They were not designed for agents that retrieve, reason, and act in real time. The gap between what legacy architectures were built to do and what security teams now need to govern is widening fast. Our research identifies three trends defining data security through 2027: 1️⃣ Real-Time DSPM: Posture to Runtime - Static scanning is giving way to inline RDSPM - Policy is enforced at the moment of access, not after the fact 2️⃣ Unified Data + AI Control Plane: Consolidated Governance - DSPM, DLP, and AI Security are converging into a single policy engine - Buyers are moving away from isolated tools toward comprehensive data control programs 3️⃣ Agent Data Lineage and Audit: The Evidence Layer - Litigation-grade chain-of-custody logging is now mandatory - The foundation for EU AI Act compliance and AI incident response - Strict chain-of-custody logging: agent, retrieval, data, output, and action. Data security is no longer about protecting files at rest. It is about governing active agentic workflows in real time. Read our latest reports on Data & AI security here: https://lnkd.in/eZshkj5Q Which of these three shifts is your team prioritizing heading into 2027? #DataSecurity #AgenticWorkforce #TopTrends #Cybersecurity

Zero Trust was built for a predictable world. AI agents are not predictable. They act, adapt, and access systems autonomously.

Non-human identities now outnumber humans, and they do not follow static rules. And most enterprises still rely on static access controls.

AI agents are exposing the limits of traditional Zero Trust. The security model of “Never trust, always verify” was designed for a more predictable world of human users and static machine identities. But autonomous AI agents operate differently. They are ephemeral, probabilistic, and capable of taking action at machine speed. That creates a new kind of trust problem that existing controls were never built to solve. In Software Analyst Cyber Research’s upcoming webinar this month, I’ll explain why security teams need to rethink trust for the agentic era. I’ll introduce Just in Time Trust, or JIT TRUST, as an approach built around continuous, behavior based risk scoring rather than static access decisions. The goal is not just to verify identity once, but to evaluate trust dynamically as agents act, adapt, and interact with sensitive systems in real time. If you’re interested in having a open dialogue with me, join us here:https://lnkd.in/gx6vbGnG #CyberSecurity #AISecurity #AIAgents #ZeroTrust #IdentitySecurity #NonHumanIdentity #AgenticAI #RiskManagement #CISO #SecurityLeadership

When human users, machine identities, and AI agents share the same control plane, who’s in charge? As enterprises ramp up AI agent adoption, the security control plane is changing. Human users, machine identities, and autonomous agents now act in the same systems, often with overlapping privileges and messy ownership. Traditional security tools built for human workflows aren’t keeping up with machine-speed operations. Join me and Software Analyst Cyber Research for a deep dive into 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 (𝗨𝗔𝗗𝗣) 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝗺𝗼𝗱𝗲𝗿𝗻 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀. I’ll cover: Unified Agentic Defense and: - Why teams are moving from scattered tools to unified control planes that run at machine speed? - How UADPs handle human, machine, and agent identities in one place? - What changes for security architecture and governance? This isn't about adding another tool to your stack. It's about rethinking how security controls adapt when agents become first-class citizens in your environment. Register for the webinar here: https://lnkd.in/djymCeAi #Cybersecurity #AIAgents #DataSecurity #CISO #LiveWebinar

When human users, machine identities, and AI agents share the same control plane, governance breaks fast. Security teams are now dealing with machine-speed actions, overlapping privileges, and unclear ownership. Join our head of Data & AI Security, Lawrence Pingree, for a practical deep dive into Unified Agentic Defense Platforms and what they change in modern security programs. You will learn: • Why teams are consolidating toward unified control planes • How UADPs manage human, machine, and agent identities together • What needs to change in architecture and governance Register to attend!