Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Connected Vehicles and AI Are Redefining Insurance and Digital Security Risks

How Connected Vehicles and AI Are Redefining Insurance and Digital Security Risks

Mar 24, 2026 By SecuritySenses In SecuritySenses
The way we drive is changing. Cars are no longer just machines that take us from one place to another. They are now connected systems that collect data, communicate with networks, and use artificial intelligence to improve safety and performance. These connected vehicles are transforming industries like insurance and cybersecurity in ways we are only beginning to understand.
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Arctic Wolf

Delivering the Agentic SOC as a Service: A Turnkey Approach to AI-Driven Cybersecurity

Mar 23, 2026 By Nick Schneider In Arctic Wolf
Every year at RSA Conference, I spend time with security leaders who are trying to solve the same fundamental challenge. They know what strong security operations should look like, but the path to building and sustaining that capability inside their own organization has become increasingly difficult. The market is shifting from buying tools to buying outcomes.
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cato networks

Where Cato Sits in the AI Economy

Mar 23, 2026 By Shlomo Kramer In Cato Networks
Every major technological shift reshapes the landscape, creating both winners and losers. AI will be no different. The key question is which companies are positioned to capture the value it generates, and which ones may fall behind as it unfolds. If you look at previous technology shifts, the winners were not always the companies building the most visible products. They were often the ones that enabled the shift to happen in the first place, or those that benefited from the structural changes it created.
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Zenity

OpenClaw Needs Real Security Controls; We Built Them Open Source

Mar 23, 2026 By Dina Durutlic In Zenity
AI agent adoption and development are evolving quickly. The tooling used to build agents is improving fast, but the security controls around those agents are often rigid, opaque, or difficult to adapt to real environments. As more teams experiment with OpenClaw, one challenge becomes clear: developers need ways to inspect what agents are doing, evaluate risky behavior, and intervene when necessary.
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Zenity

The Shift to Continuous Context and the Rise of Guardian Agents

Mar 23, 2026 By Dina Durutlic In Zenity
AI agent risk doesn’t emerge in a single moment. It develops over time across configuration changes, runtime behavior, long-horizon tasks, and interactions between agents, users, and enterprise systems. Their behavior and exposure can shift in real time as agents rewrite instructions, update memory, and dynamically alter execution.
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BewAIre: Detecting Malicious Pull Requests at Scale with LLMs

Mar 23, 2026 By Datadog In Datadog
As AI coding assistants accelerate software development, the volume of pull requests at Datadog has grown to nearly 10,000 per week, increasing the risk that malicious changes slip through due to review fatigue. To address this, Datadog built BewAIre, an LLM-powered code review system designed to identify malicious source code changes introduced by threat actors. By reducing approval fatigue for developers while increasing friction for attackers, BewAIre guides human reviewers to the areas where judgment matters most, without slowing developer velocity.
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protecto

Homomorphic Encryption in LLM Pipelines: Why It Fails in 2026

Mar 23, 2026 By Amar Kanagaraj In Protecto
There’s a claim gaining traction in the market: homomorphic encryption can preserve data privacy in AI workflows. Encrypt your data, run it through a language model, and never expose a single token. Sounds bulletproof. It isn’t. Homomorphic encryption (HE) was built for math, not language. Applying it to LLM pipelines is like encrypting a book and asking someone to summarize it without reading a word. The problem isn’t efficiency.
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keeper

How to Manage Identity Sprawl in the Age of AI Agents and NHIs

Mar 23, 2026 By Aranza Trevino In Keeper
Non-human identities (NHIs) and AI Agents including service accounts, CI/CD credentials and cloud workload identities, now eclipse human identities in enterprise identity systems by 50:1 to 100:1. Modern identity security platforms must assign identities to these assets and furthermore, apply roles, access control policies, visibility and governance in order to secure the modern enterprise.
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