Securing Agentic AI Connectivity

AI agents are no longer theoretical, they are here, powerful, and being connected to business systems in ways that introduce cybersecurity risks! They’re calling APIs, invoking MCPs, reasoning across systems, and acting autonomously in production environments, right now.

And here’s the problem nobody has solved: identity and access controls tell you WHO is acting, but not WHY.

An AI agent can be fully authenticated, fully authorized, and still be completely misaligned with the intent that justified its access. That’s not a failure of your tools. That’s a gap in the entire security model.

This is the problem ArmorIQ was built to solve.

ArmorIQ secures agentic AI at the intent layer, where it actually matters:

· Intent-Bound Execution: Every agent action must trace back to an explicit, bounded plan. If the reasoning drifts, trust is revoked in real time.

· Scoped Delegation Controls: When agents delegate to other agents or invoke tools via MCPs and APIs, authority is constrained and temporary. No inherited trust. No implicit permissions.

· Purpose-Aware Governance: Access isn’t just granted and forgotten. It expires when intent expires. Trust is situational, not permanent.

If you’re a CISO, security architect, or board leader navigating agentic AI risk — this is worth your attention.

See what ArmorIQ is building: https://armoriq.io

The post Securing Agentic AI Connectivity appeared first on Security Boulevard.

As the enterprise world shifts from chatbots to autonomous systems, Operant AI on Thursday launched Agent Protector, a real-time security solution designed to govern and shield artificial intelligence (AI) agents. The launch comes at a critical inflection point for corporate technology. Gartner predicts that by the end of 2026, 40% of enterprise applications will feature..

The post Operant AI’s Agent Protector Aims to Secure Rising Tide of Autonomous AI appeared first on Security Boulevard.

Apple has announced a new version of Xcode, the latest version of its integrated development environment (IDE) for building software for its own platforms, like the iPhone and Mac. The key feature of 26.3 is support for full-fledged agentic coding tools, like OpenAI's Codex or Claude Agent, with a side panel interface for assigning tasks to agents with prompts and tracking their progress and changes.

This is achieved via Model Context Protocol (MCP), an open protocol that lets AI agents work with external tools and structured resources. Xcode acts as an MCP endpoint that exposes a bunch of machine-invocable interfaces and gives AI tools like Codex or Claude Agent access to a wide range of IDE primitives like file graph, docs search, project settings, and so on. While AI chat and workflows were supported in Xcode before, this release gives them much deeper access to the features and capabilities of Xcode.

This approach is notable because it means that even though OpenAI and Anthropic's model integrations are privileged with a dedicated spot in Xcode's settings, it's possible to connect other tooling that supports MCP, which also allows doing some of this with models running locally.

Read full article

Comments

Radware this week revealed it has acquired Pynt, a provider of a set of tools for testing the security of application programming interfaces (APIs). Uri Dorot, a senior product marketing manager for Radware, said that capability will continue to be made available as a standalone tool in addition to being more tightly integrated into the..

The post Radware Acquires Pynt to Add API Security Testing Tool appeared first on Security Boulevard.