Radware Adds Claude Code Protection and Compliance Reporting to Agentic AI Security

Seed story: "Radware adds Claude Code protection and compliance reporting to agent security" (SiliconANGLE) · search original Written from facts verified across 3 report(s) — original explainer, not a copy or translation. Sources at the end.

As Anthropic’s Claude Code increasingly operates directly on developer endpoints, the risk of agent-driven data leaks and policy violations has moved from the cloud to the local machine. Radware’s latest update addresses this shift by extending enterprise-grade security controls and audit-ready compliance reporting to these developer-hosted environments. This integration allows teams to maintain visibility and adhere to frameworks like the EU AI Act and NIST without sacrificing the agility of their AI workflows.

What Shipped: Radware Expands Agentic AI Protection to Claude Code

Radware announced on July 7, 2026, that its Agentic AI Protection product now includes specific security controls for Anthropic’s Claude Code. This update marks a significant shift, extending security boundaries beyond traditional SaaS deployments to cover agents operating directly on local developer endpoints. By targeting these developer-hosted environments, the solution addresses the growing risk of unmonitored AI activity within internal workstations.

The enhancement provides deeper visibility into agent interactions and maps dependencies, allowing security teams to track how these tools behave in real-time. This granular insight is critical for identifying potential policy violations or unauthorized data access before they escalate.

Key capabilities include:

Specific protection for Anthropic’s Claude Code on developer machines.
Enhanced monitoring of agent interactions and local dependencies.
Audit-ready reporting aligned with ISO 42001, the EU AI Act, and NIST frameworks.

This move helps organizations maintain strict oversight over AI tools that previously operated in the shadows of local development workflows.

Technical Deep Dive: Local Agent Visibility and Dependency Mapping

Radware’s latest update shifts security controls beyond traditional SaaS boundaries to monitor agents operating directly on developer endpoints. This expansion is critical for protecting Anthropic’s Claude Code, ensuring that local interactions remain secure. By extending visibility into these local environments, the solution addresses the blind spots often present in distributed development workflows.

The platform now offers deeper insight into how AI agents interact with systems and maps their underlying dependencies. This granular visibility allows security teams to:

Track real-time agent interactions within local setups.
Map complex dependency chains for hosted agents.
Identify potential vulnerabilities in developer-hosted environments.

This level of detail transforms how organizations manage risk, moving from reactive measures to proactive monitoring of agent behavior in the very environments where code is written.

Compliance Reporting: Aligning with ISO 42001, EU AI Act, and NIST

Radware’s latest update introduces audit-ready reporting capabilities, directly addressing the growing demand for regulatory alignment in AI development. By mapping agent interactions and dependencies, the platform helps security teams generate evidence required for major frameworks. This shift moves compliance from a manual, retrospective exercise to an integrated, continuous process, reducing the administrative burden on engineering teams.

The new reporting features are designed to support adherence to:

ISO 42001 for AI management systems
The European Union AI Act
The NIST AI Risk Management Framework

This structured approach allows organizations to demonstrate control over their agentic workflows. For developers, this means security controls extend beyond traditional SaaS boundaries to include local, developer-hosted environments. As AI agents become more autonomous, having verifiable logs of their behavior is no longer optional but a critical component of responsible deployment.

Ultimately, these enhancements provide the visibility needed to prove that AI agents operate within defined policy limits. This capability is essential for enterprises navigating complex global regulations while maintaining agility in their software delivery pipelines.

Why It Matters: Preventing Agent-Driven Data Leaks and Policy Violations

Securing AI agents on local machines is no longer optional as autonomous tools gain deeper access to sensitive codebases and infrastructure. The recent enhancements to Radware’s Agentic AI Protection specifically target Anthropic’s Claude Code, addressing the critical risk of data exfiltration and unauthorized actions by developer-hosted agents. By extending security controls beyond traditional SaaS deployments, organizations can now monitor and mitigate threats originating directly from endpoint environments where developers interact with AI tools.

This shift is vital for maintaining integrity in modern development workflows. Without visibility into local agent behavior, security teams remain blind to potential policy violations or accidental data leaks triggered by autonomous actions.

Key implications for enterprise security include:

Endpoint Visibility: Tracking agent interactions and dependencies directly on developer machines.
Risk Mitigation: Preventing unauthorized actions by autonomous tools before they impact production.
Compliance Alignment: Ensuring agent behavior meets standards like ISO 42001 and the EU AI Act.

What It Means for Developers: Integrating Security into the Workflow

Security teams can now leverage deeper visibility into AI agent activity to understand behavior without disrupting development velocity. By extending controls beyond SaaS deployments to local developer-hosted environments, Radware’s latest update addresses the blind spots in Anthropic’s Claude Code. This shift allows engineering teams to maintain a robust security posture while keeping their workflows uninterrupted.

Key capabilities include:

Real-time tracking of agent interactions and dependencies on local endpoints.
Audit-ready reporting aligned with ISO 42001, the EU AI Act, and NIST frameworks.
Enhanced monitoring that maps out how agents operate within existing development tools.

According to Radware’s CTO David Aviv, these enhancements help organizations comprehend agent behavior while supporting strict compliance requirements. For developers, this means security is no longer a bottleneck but an integrated layer that validates code and data handling in real-time.

How to Try It: Next Steps for Enterprise Adoption

Radware’s July 7, 2026 update extends its Agentic AI Protection beyond SaaS boundaries to cover developer-hosted environments, specifically targeting Anthropic’s Claude Code. For enterprises managing multi-cloud infrastructures, this shift is critical as security teams must now account for agents operating directly on local endpoints. The enhanced visibility features allow organizations to map agent interactions and dependencies, providing a clearer picture of how these tools behave in real-world development workflows.

When evaluating this platform, security leaders should prioritize the following capabilities:

Local Agent Coverage: Ensure controls extend to developer-hosted agents, not just cloud-based services.
Dependency Mapping: Verify that the tool can track complex interactions between agents and underlying systems.
Audit-Ready Reporting: Confirm alignment with emerging standards like ISO 42001, the EU AI Act, and the NIST AI Risk Management Framework.

As David Aviv, Radware’s CTO, noted, these enhancements help organizations understand agent behavior while supporting compliance. Teams should monitor upcoming agent security standards closely, as the landscape is evolving rapidly. By integrating these visibility tools early, enterprises can better prevent policy violations and data leaks before they impact production environments.

FAQ

What specific AI tool does Radware's new update protect?

The update specifically adds protection for Anthropic's Claude Code, which operates on developer endpoints. This extends security controls beyond standard SaaS deployments to agents running in local developer-hosted environments.

Which compliance frameworks are supported by the new reporting features?

The audit-ready reporting is designed to align with ISO 42001, the European Union AI Act, and the NIST AI Risk Management Framework. These features help organizations track agent interactions to support regulatory compliance.

How does the enhancement improve visibility for security teams?

The solution provides deeper visibility into AI agent activity through enhanced monitoring and mapping features. This allows security teams to effectively track agent interactions and dependencies within their infrastructure.