Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

vanta

5 practical tips to navigate AI, security, and compliance in healthcare

May 22, 2025 By Vanta In Vanta
It’s no secret that the healthcare industry has a fraught relationship with cybersecurity. Despite being highly regulated, healthcare companies are hot targets for hackers. The wealth of patient data healthcare companies often possess sells for a premium on the dark web, and hackers have an opportunity to yield high ransom payouts due to the criticality of healthcare systems and services. After all, lives may truly be at stake amid a healthcare breach.
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sumologic

The patching paradox: The reality of AI in security

May 22, 2025 By David Girvin In Sumo Logic
Let’s stop pretending AI is going to save security. Sure, it’s going to help — it already is. But the idea that defenders will somehow “keep up” with attackers just because they both have access to generative AI is a fantasy. I come at this from a red-team mindset. I’ve spent years thinking like an attacker. Now I work at a blue-team company trying to defend real systems. And here’s what’s obvious to me: AI is going to let attackers move faster.
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Azure and Grok: Bringing Enterprise-Level AI to the Small and Mid-Market Frontier

Azure and Grok: Bringing Enterprise-Level AI to the Small and Mid-Market Frontier

May 22, 2025 By Kevin Gallagher, CEO In SecuritySenses
In today's hyper-competitive business environment, artificial intelligence is no longer the exclusive playground of Fortune 500 giants. The democratization of AI, especially with developments like Microsoft's Azure platform partnering with Elon Musk-backed Grok, is rewriting the rules of innovation, productivity, and competitive advantage. This convergence represents a significant step forward for small and mid-sized businesses (SMBs), offering access to cutting-edge AI tools previously out of reach due to cost, complexity, and lack of in-house expertise.
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Torq

CISOs' Unconventional Criteria for Evaluating AI SOC Analysts

May 21, 2025 By Noam Cohen In Torq
Noam Cohen is a serial entrepreneur building seriously cool data and AI companies since 2018. Noam’s insights are informed by a unique combination of data, product, and AI expertise — with a background that includes winning the Israel Defense Prize for his work in leveraging data to predict terror attacks. As the Head of Artificial Intelligence at Torq, Noam is helping build truly next-gen AI capabilities into Torq’s autonomous SOC platform.
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upguard

Detecting Generative AI Data Leaks from ComfyUI

May 21, 2025 By Greg Pollock In UpGuard
By now we’re all familiar with the capabilities of generative AI for creating images. For some tasks, like casting an existing image in a recognizable art style, it works well. Much more than that and it encounters limitations: complex prompts often don’t return exactly what you imagined and iterating on a failed prompt can quickly become time-consuming.
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wallarm

Mapping the Future of AI Security

May 21, 2025 By Wallarm In Wallarm
AI security is one of the most pressing challenges facing the world today. Artificial intelligence is extraordinarily powerful, and, especially considering the advent of Agentic AI, growing more so by the day. But it is for this reason that securing it is so important. AI handles massive amounts of data and plays an increasingly important role in operations; should cybercriminals abuse it, the consequences can be dire.
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protecto

3 CalypsoAI Alternatives Analyzed: Pricing, Key Capabilities, USP, Pros, & Cons

May 21, 2025 By Anwita Dhar In Protecto
Over the past few years, enterprises have rapidly integrated GenAI into an increasing number of workflows and use cases. Amidst the rush and excitement to adopt a free tool that significantly boosts productivity, business leaders de-prioritized privacy, till it became a compliance issue. As privacy tools offering a quick patch quickly flooded the market, businesses ran into a new problem – which is the best tool?
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Zenity

Model Context Protocol (MCP): A Primer

May 21, 2025 By Dina Durutlic In Zenity
In the ever-evolving landscape of AI, a new enabler has emerged that's quietly transforming how language models interact with the digital world: Model Context Protocol, or MCP. It may not be a household name yet, but if your organization is experimenting with AI agents, it's time to get acquainted. MCP is becoming the cornerstone of LLM integration - bridging the gap between isolated AI systems and the interconnected web of enterprise & client applications.
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