A grounded look at why process telemetry can miss AI misuse inside familiar workplace tools.
EDR helps explain how a system is being manipulated, but this episode pushes on a harder problem: risky behavior happening inside an approved tool.

Where security breaks now: browsers, endpoints, AI agents.
Cloud Security Podcast has a host talking with security guests about how attacks actually get through, from ClickFix tricks in the browser to AI agents leaking data through the tools they call. The talk stays specific, with named products, real breaches and direct questions about whether AI in the SOC works.
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Cloud Security Podcast is an interview show about how attacks land and where defenses fail, and its range goes well beyond cloud configuration despite the name. Browsers, endpoints, identity, the security operations center and AI systems all get attention. The conversations are specific. In one, a speaker describes adversaries using the same software as the enterprise so they can pass as an employee. Defenders are left knowing only that Zoom was running, not why remote control was handed over or what happened next. The same conversation argues that many alerts exist only because of dumb control points, and it asks whether a team can name its risky users and say why they are risky. Its most striking example has someone activating Meta AI inside WhatsApp and trying to paste patient records into it for a summary. The speakers call it unsanctioned AI in a sanctioned tool, and a HIPAA violation if it had gone through. The browser conversation is blunt. Patch management programs exist, one speaker says, but they do not work in reality, and an identity provider is not a firewall. Attackers phish through legitimate SaaS applications, and ClickFix tricks users into opening the Windows command prompt and pasting in a command. The attacks on JLR and Marks and Spencer come up, as do a campaign against Salesforce and a coalition posting on Telegram as Scattered Lapsus Hunters. AI agents are treated as a new attack surface. Every tool an agent runs is described as a chance for proprietary data to leak or for a malicious tool to send commands back, and the agent is compared to Ron Burgundy reading whatever is on the teleprompter. On adoption, organizations are said to fall into two camps: flat refusal, or floodgates already open with no idea what is being used. The proposed fix puts identity at the core, so that a device-bound, attributable identity replaces a probabilistic guess at the blast radius. The conversation behind 'Why AI Infrastructure is Harder to Secure Than Cloud' raises fourth- and fifth-party exposure through services like Bedrock and warns never to connect an MCP server directly to a database. Titles such as 'AI Agents for SOC: Hype Curve vs. Measurable ROI' and 'Is AI Hallucinations a Myth and the Real Threat from AI' show how often the SOC question comes back. One speaker describes multi-step attack campaigns finishing within minutes, too fast for a SOC to answer without AI. The AI SOC product Dropzone comes up, including its work with the Cloud Security Alliance on a report about AI-augmented SOCs. The forecast is restrained: fewer tier one analysts, more security architects, and no fully automated SOC. The closings point to a sister show, AI Security Podcast, and a newsletter at cloudsecuritynewsletter.com, and the host often signs off with one word: Peace.
Made for: Suits a listener who works in or near security operations and wants attack paths, tooling trade-offs and AI risks discussed with named products and real incidents instead of in broad strokes.
What sets it apart: Despite the cloud name, it covers browsers, endpoints, identity and AI agents, and its conversations test AI-in-the-SOC claims against what practitioners say actually works instead of accepting the pitch.
Learn Cloud Security in Public Cloud and for AI systems, the unbiased way from CyberSecurity Experts solving challenges at Cloud Scale. We are honest because we are not owned by Cloud Service Provider like AWS, Azure or Google Cloud. We aim to make the community learn Cloud Security through community stories from small - Large organisations solving multi-cloud challenges to diving into specific topics of Cloud Security.We STREAM interviews on Cloud Security Topics every week on Linkedin, YouTube and Twitter with over 150K people tuning in.
A legitimate SaaS app lands in your inbox; the phishing problem has moved to your browser.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A grounded look at why process telemetry can miss AI misuse inside familiar workplace tools.
EDR helps explain how a system is being manipulated, but this episode pushes on a harder problem: risky behavior happening inside an approved tool.
A grounded review of prompt injection, AI malware, and identity as a clarifying center for security teams.
Prompt injection and shadow AI land as a practical security concern, not an abstract scare. Every agent tool call becomes a possible opening for proprietary data to leak, for an unauthorized tool to signal out, or for an obedient system to behave uncomfortably like malware.
A sharp, practical look at phishing as it shifts from email into the browser, SaaS, and identity layer.
Browser-first phishing takes center stage in this single-episode review, which follows attacks that start inside legitimate SaaS tools instead of the old suspicious-email pattern.
AI security starts with architecture, especially where MCP, managed services, and role-based access meet.
AI infrastructure has widened the cloud security responsibility gap, especially when a managed service like Bedrock becomes the path into a company's cloud and brings fourth and fifth parties into the chain.



Technology's mechanisms, power's consequences.

Dave, Joe, and Maria break down phishing kits, deepfakes, and social-engineering scams weekly.


An interview discussing why identity security is still broken and how hardware-based authentication can solve it, featuring the CEO of Beyond Identity.
Cloud Security Podcast features Brandon Dixon from Ent AI arguing that EDR misses user intent when adversaries and employees both use legitimate tools.
Jason Casey of Beyond Identity argues that AI agents should be treated as identity-bound workloads, not just new software features, because code assistants can expose code, intellectual property, and local device access.
Cloud Security Podcast talks with Adam Bateman of Push Security about why browser security has become central as work moved from laptops and ports to browsers and cloud services.
Edward Wu, founder and CEO of Dropzone AI, says AI is already handling spear-phishing, reconnaissance, and parts of vulnerability research, but he has not seen 10-step or 15-step attack campaigns run end to end by agents.
Tony De La Fuente says AI security is not just cloud security 2.0, because Bedrock, Vertex AI, and ChatGPT add extra responsibility layers between the user and the underlying model.
Eduardo Redondo Garcia, a Check Point AI security professional with three decades in the industry, says GenAI attacks can arrive as ordinary language prompts.
Brad Hibbert of Brinka traces vulnerability management from infrastructure scans to risk-based prioritization and exposure management across cloud, code, containers, APIs, and identities.
A Harmonic Security customer used Claude Code and MCP to reduce bug fixes from three to five days to about 20 minutes.
Edward Wu from Dropzone discusses whether AI agents for SOC are hype or deliver measurable ROI, covering automation, job impact, and real-world results.
An interview discussing why identity security is still broken and how hardware-bound identity can solve it, especially against AI-enabled attacks.
A security engineer discusses how to prioritize cloud security based on company-specific needs, using visibility into administrative actions as an example.
Kaylin Edwards discusses how to scale container security without slowing developers, using open source tools and developer-friendly practices.