Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

7 Hidden Risks of AI in the Workplace

Jul 7, 2026 By Teramind: User Behavior Analytics & DLP In Teramind
Is your team using AI tools at work? Without the right guardrails, you could be exposing your business to data breaches, compliance violations, and serious reputational damage — and most companies don't see it coming. In this video, we break down the 7 hidden risks of AI in the workplace — from data privacy breaches and AI hallucinations to Shadow AI, prompt injection attacks, and intellectual property complications. We also cover the best practices every organization needs to manage workplace AI risks before they become costly problems.
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egnyte

Build Agents, Automate Workflows, and Unlock Your Content-All in One Platform

Jul 7, 2026 By Sanjay Kosuri In Egnyte
88% of organizations are running AI in at least one workflow, yet nearly two-thirds report more rework than savings. The model is rarely the bottleneck. Everyone has access to the same frontier models now. The difference is what sits underneath: content that's unstructured, ungoverned, and disconnected from the workflows that need it. Fixing the content problem usually means giving AI broad access to content, and that's where governance breaks down.
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The biggest security risks facing financial institutions in 2026

The biggest security risks facing financial institutions in 2026

Jul 7, 2026 By Katie Barnett and Gavin Wilson, Toro Solutions In SecuritySenses
Financial institutions are spending more on security than they were five years ago. They have more security tools, invest more in training, have more policies in place and report on security more regularly. That sounds positive, but it does not automatically make them more secure. One of the biggest challenges for security leaders is deciding where to focus. New vulnerabilities, threat reports and regulatory requirements appear all the time. With so much competing for attention, it can be difficult to separate genuine priorities from the latest headline.
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Arctic Wolf

GLM 5.2 Signals a New Phase of Accessible Frontier AI and a Shift in Cyber Risk

Jul 6, 2026 By Arctic Wolf In Arctic Wolf
AI’s latest wave is reshaping cybersecurity in a fundamental way. Capabilities that once were limited to a handful of frontier models are now widely accessible, cheaper, and embedded across more environments. As access expands, risk is growing fast and scaling even faster.
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datadog

Reduce SAST false positives with agentic evaluation and Bits Memories

Jul 6, 2026 By Cole Maring In Datadog
Static application security testing (SAST) tools are intentionally conservative. Traditional scanners identify code that appears exploitable and flag the snippet for review, even when protections elsewhere in the application prevent exploitation. Although that approach helps teams catch vulnerabilities, it also creates false positives that consume developer time, slow remediation efforts, and make future alerts easier to dismiss.
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outpost 24

5 Biggest Challenges of AI in Cybersecurity

Jul 6, 2026 By Daniel Imber In Outpost 24
IBM’s 2025 Cost of a Data Breach Report found that 97% of organizations that experienced an artificial intelligence (AI)-related security incident lacked proper access controls on AI systems. The same report highlighted that 63% of organizations lacked governance policies to manage AI or prevent shadow AI. Despite those statistics, AI is now deeply embedded in workflows across critical business functions. Employees are using public AI tools to work faster.
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AI Assisted Scripting: Updated Features and Use Case

Jul 6, 2026 By Acronis In Acronis
Explore how Acronis Cyber Protect Cloud transforms IT management with AI-assisted scripting and remote remediation. This video demonstrates unified backup, security, and endpoint management, empowering IT professionals and MSPs to automate tasks, respond rapidly to incidents, and manage endpoints securely from a single console.
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CrowdStrike

How AI-leading Security Teams Are Building the Agentic SOC

Jul 6, 2026 By Nico Lozano - Lucia Stanham In CrowdStrike
AI-enabled attacks move faster than human analysts can track, at a scale that traditional SOCs weren’t designed to withstand. eCrime breakout times collapsed to 29 minutes on average in 2025, with the fastest clocked at 27 seconds. The rise of frontier AI models is expected to compress the time between vulnerability discovery and exploitation, intensifying pressure on SOC teams. Defending against AI-accelerated adversaries requires a new operating model.
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