Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Demo Observe What Your AI Is Actually Doing

Jul 28, 2026 By Wallarm In Wallarm
Security teams are receiving more alerts tied to AI workloads, but most miss the runtime context needed to understand what happened, why it happened, and whether it violated policy. AI visibility cannot stop at deployment and configuration. Join this live demo session to see how Wallarm AI Hypervisor helps teams understand what AI workloads are actually doing at runtime inside Kubernetes environments. The session focuses on giving security teams clearer operational context around AI behavior, outbound activity, sensitive data exposure, and user-driven actions across AI systems.
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astra

AI Pentesting vs Traditional Pentesting: A Comparison, Cost, and Coverage Breakdown

Jul 28, 2026 By Niharika Mahesh In Astra
If there’s one thing all of us can agree about modern security, it is that penetration testing is no longer a once-a-year activity. Modern attack surfaces do not stay still. New code ships faster, cloud infrastructure is constantly changing, and APIs are multiplying across product ecosystems. To keep up, engineering teams have moved security earlier in the development lifecycle through shift-left practices.
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mend

Move faster than AI-driven risk: Inside Mend.io's latest AI application security update

Jul 28, 2026 By Asaf Saar In Mend
AI didn’t just change how fast you ship. It changed what your AI application security program has to protect. Two years ago, security teams protected code, open source, and containers. Today they also have to protect AI agents, MCP servers, models, prompts, and runtime interactions, configured or deployed faster than any team can manually review. The attack surface didn’t grow. It exploded.
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kovrr

AI Agents and MCP: Security Implications

Jul 28, 2026 By Kovrr In Kovrr
The Model Context Protocol has quietly become the connective tissue of enterprise agentic AI. MCP standardizes how AI agents discover, request, and invoke tools, data sources, and external systems, replacing the custom integration code that used to sit between every agent and every backend. ‍ That standardization is what made agents commercially viable at scale. It is also what turned MCP into one of the largest and least-understood attack surfaces in enterprise AI.
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Zenity

Why AI Security Has to Live at the Decision Point

Jul 27, 2026 By Dina Durutlic In Zenity
For the past couple of years, most of the industry’s attention has gone toward agents that respond to a single prompt. They ask a question, get an answer, and move on. Enterprises are now deploying long-horizon agents; autonomous systems that execute extended, multi-step tasks across hours or days, without a human checking in on every step. These agents plan, reason, and improvise their way toward a goal, and that changes what security has to protect against.
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CrowdStrike

CrowdStrike Joins the Open Secure AI Alliance to Advance AI Safety and Security

Jul 27, 2026 By Bartley Richardson In CrowdStrike
AI is changing the speed and scale of cyber defense, and the speed and scale of the adversary. As AI becomes embedded across government, critical infrastructure, and enterprise environments, defenders need the ability to inspect, test, adapt, and secure the systems they depend on.
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acronis

Introducing AI Service Desk in Acronis Cyber Platform

Jul 27, 2026 By Alexey Sotnikov In Acronis
AI is changing the economics of managed services, and productivity and intelligence are becoming critical competitive factors. MSPs need practical AI that helps technicians work more productively, make smarter decisions, move faster, reduce manual effort and resolve issues with better context. That is why Acronis is expanding Acronis Cyber Platform with new AI-native capabilities built for the next era of managed services.
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