Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Technological Advantages of Biophotonic Glass Packaging

Technological Advantages of Biophotonic Glass Packaging

Jun 2, 2026 By SecuritySenses In SecuritySenses
After months of cultivation, drying, and curing, cannabis flower and pre-rolls are at their most vulnerable when they enter the supply chain. From a security and risk perspective, packaging is the control layer that protects product integrity against environmental attack vectors such as light exposure, oxygen ingress, moisture drift, and physical damage. For brands competing on terpene profile, potency, and consistency, the right container is not a marketing afterthought. It is part of quality assurance and brand trust.
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How technology and new laws are merging AI and data protection

How technology and new laws are merging AI and data protection

Jun 2, 2026 By SecuritySenses In SecuritySenses
The rapid development of artificial intelligence poses a complex dilemma for businesses: how to harness the enormous potential of neural networks without compromising user privacy? To successfully navigate this technological landscape, companies require strong technical expertise. Experts from the AI service company Data Science UA help businesses intelligently integrate machine learning algorithms and AI agents, balancing innovation with strict information security requirements.
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cato networks

Reducing Time-to-Protect with Cato's Self-Evolving Vulnerability Protection Agent

Jun 1, 2026 By Dr. Guy Waizel In Cato Networks
TL;DR: In the age of frontier AI models, vulnerability discovery and exploit development are scaling faster than human defenders can manually respond. Security teams already face growing CVE volumes, shorter exploitation windows, and manual workflows for researching vulnerabilities, creating protections, validating them, and preparing them for deployment. As attackers weaponize vulnerabilities faster than organizations can patch them, time-to-protect is becoming a critical security metric.
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Falcon for IT: Accelerating AI Discovery & Governance

Jun 1, 2026 By CrowdStrike In CrowdStrike
As AI adoption accelerates, so does shadow AI. Without a complete inventory of AI tools, models, agents, and activity, organizations are exposed to unapproved usage, unmanaged access, and data risk, especially when AI activity happens locally, on endpoints, or outside traditional controls. In this video, you’ll see how Falcon for IT helps teams.
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CrowdStrike

Secure Shadow AI at the Control Plane with Falcon for IT

Jun 1, 2026 By Dr. Beth Williams In CrowdStrike
CrowdStrike is introducing AI Discovery and Governance for CrowdStrike Falcon for IT, a new capability that helps organizations identify, assess, and govern AI technologies across enterprise environments. Enterprise IT infrastructure is the control plane for modern organizations. It determines how systems communicate, how identities authenticate, and how workloads execute across endpoints, servers, and clouds. This foundation supports the rapid implementation of AI across businesses.
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armo

AI-SPM Tools for Attack Detection: Where Posture Meets Runtime

Jun 1, 2026 By Shauli Rozen In ARMO
Every AI-SPM tool runs posture and detection with a single arrow: runtime evidence flowing back to rank posture findings. The load-bearing direction runs the opposite way, and almost nothing runs it — posture flowing forward to tell the detection layer what an attack even looks like.
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armo

What to Log for AI Agent Activity: The Minimum Viable Audit Trail

Jun 1, 2026 By Yossi Ben Naim In ARMO
The first time a security team needs an AI agent audit trail is usually 72 hours after the agent has already done something it shouldn’t have. Detection fires. Someone pulls every relevant log from the SIEM (Kubernetes audit, container runtime, cloud audit) and three hours in realizes the events that actually matter were never written. Which prompt triggered the tool call. Which parameters the agent passed. Which output left the cluster.
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appsentinels

MCP vs. Traditional API Security: Why Your Existing Controls Don't Protect MCP-Powered AI Agents

Jun 1, 2026 By AppSentinels In AppSentinels
Traditional API security protects deterministic systems with known endpoints and explicit actions, while MCP-powered AI agents operate through inferred intent, dynamic tool chaining, and natural language interactions. This requires MCP-specific security controls such as tool governance, behavioral monitoring, and semantic anomaly detection.
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protecto

When Cosine Similarity Works Great, and When It Does Not

Jun 1, 2026 By Amar Kanagaraj In Protecto
In my last post, I explained the math behind cosine similarity. Cosine similarity is a powerful search technique. When you are dealing with thousands or millions of chunks, it provides a fast, scalable way to find content conceptually similar to the user’s question. That is a major breakthrough. Without vector search, modern RAG would be much harder to build. But the mistake is pushing every retrieval problem into vector search. That is where practical retrieval starts breaking down.
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