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Claude and ChatGPT Hijacked via Zero-Click Prompt Injection

Claude and ChatGPT Hijacked via Zero-Click Prompt Injection

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.0 SecurityWeek

Zenity researchers disclosed a zero-click attack chain capable of hijacking Claude and ChatGPT's agentic browser capabilities through malicious content embedded in emails and X posts. The vulnerabilities, reported to Anthropic and OpenAI in late 2025 and early 2026, remain unpatched as of publication. This represents a significant escalation in prompt injection risk, as no user interaction is required to trigger malicious AI agent behaviour.

Varonis Launches Agent IBAC to Constrain AI Agent Actions at Runtime

Varonis Launches Agent IBAC to Constrain AI Agent Actions at Runtime

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 BleepingComputer

Varonis has released Agent Intent-Based Access Control (IBAC) within its Atlas platform, a runtime enforcement layer that compares an AI agent's received instructions against its actual tool calls and data access to detect and block out-of-policy behaviour. While the capability is a defensive control, its deployment introduces new attack surface: adversaries who understand the intent-matching logic may craft prompt injections or instruction manipulation that causes the agent's declared intent to align with a malicious action, bypassing the guardrail. Security teams should treat Agent IBAC as a layer within a defence-in-depth strategy rather than a standalone control, and test it aggressively against adversarial prompt scenarios before trusting it in production.

Sprocket Launches AI Agent for Hardware and Software Dev

Sprocket Launches AI Agent for Hardware and Software Dev

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 HN AI Security

Sprocket is an open-source AI agent that combines software code generation with hardware design synthesis, retrieving live web context to augment its outputs across both domains. This dual-domain agentic capability significantly expands the attack surface by introducing a single agent with write access to both software repositories and hardware description files, creating cross-domain compromise scenarios. Defenders must assess supply chain integrity across both EDA toolchains and software build pipelines, as a compromised or manipulated Sprocket instance could introduce vulnerabilities into hardware designs and software simultaneously.

CrowdStrike Falcon AIDR Adds Coverage for Copilot Studio and Claude Code

CrowdStrike Falcon AIDR Adds Coverage for Copilot Studio and Claude Code

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 CrowdStrike Blog

CrowdStrike has extended its Falcon AI Detection and Response (AIDR) capability to cover Microsoft Copilot Studio agents and Anthropic Claude Code, bringing behavioural monitoring to two fast-growing agentic AI surfaces. This expansion signals that enterprises are actively deploying autonomous agents in production environments that previously lacked dedicated security tooling. Defenders now have a detection layer for these platforms, but the expanded integration surface also introduces new ingestion and telemetry trust boundaries that adversaries may probe.

Microsoft Copilot Super App Merges Chat, Code, and Agents

Microsoft Copilot Super App Merges Chat, Code, and Agents

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Verge AI

Microsoft has confirmed a Copilot 'super app' launching in 2026 that consolidates chat, GitHub Copilot coding, Cowork collaboration, and agentic Autopilot capabilities into a single unified platform spanning consumer and commercial users. The convergence of these surfaces into one application dramatically expands the blast radius of any successful prompt injection or account compromise, as an attacker who subverts the LLM layer could pivot across coding pipelines, autonomous task execution, and business workflows simultaneously. Defenders should treat this consolidation as a significant privilege-escalation risk, where a single vulnerability in the AI layer now potentially unlocks lateral movement across the entire Microsoft productivity stack.

Meta Plans Billions of Personal AI Agents on WhatsApp

Meta Plans Billions of Personal AI Agents on WhatsApp

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 TechCrunch AI

Meta CEO Mark Zuckerberg has publicly committed to deploying personal AI agents at billion-user scale within five years, with WhatsApp and Meta's messaging surfaces as the primary delivery channel for agents managing finances, health, relationships, and household tasks. This represents a massive expansion of agentic AI attack surface, as persistent, goal-directed agents operating 24/7 on behalf of individuals will hold unprecedented access to sensitive personal data and actionable context. Defenders must anticipate new classes of prompt injection, data exfiltration, and agent impersonation threats operating at a scale and intimacy that dwarfs current enterprise agentic deployments.

Meta Launches Enterprise AI Agents and API Services for Business

Meta Launches Enterprise AI Agents and API Services for Business

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.5 TechCrunch AI

Meta is expanding into enterprise AI by offering business-facing AI agents, APIs, internal productivity tools, and compute-as-a-service to external customers. This shift introduces new attack surfaces as Meta's AI agents integrate into customer-facing messaging workflows and enterprise tooling pipelines. Defenders should assess risks around prompt injection via business messaging channels, third-party API trust boundaries, and the security posture of Meta-sourced compute and tooling.

Perplexity Launches Personal Computer AI Agent for Windows PCs

Perplexity Launches Personal Computer AI Agent for Windows PCs

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 The Verge AI

Perplexity has expanded its Personal Computer agentic tool to Windows, enabling a locally-run AI agent that can access files, Office 365 apps, and the web on behalf of enterprise users. This significantly expands the attack surface for defenders: a compromised or manipulated agent running with local system access can exfiltrate files, execute unauthorised actions, and pivot across cloud-connected Microsoft 365 services. Security teams should treat this as a high-privilege process requiring the same scrutiny as endpoint detection tools, with particular attention to prompt injection via locally-processed documents.

AWS AgentCore Gateway Adds Support for MCP 2026-07-28 Spec

AWS AgentCore Gateway Adds Support for MCP 2026-07-28 Spec

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 AWS Machine Learning Blog

AWS has released AgentCore Gateway with native support for the Model Context Protocol (MCP) 2026-07-28 specification, enabling standardised tool-use and context-sharing across agentic AI workloads on AWS infrastructure. For defenders, MCP-compliant gateways dramatically expand the inter-agent communication surface, introducing new vectors for prompt injection through tool responses, malicious server impersonation, and privilege escalation across agent boundaries. Security teams operating agentic pipelines on AWS must now treat MCP endpoints as high-value targets requiring the same scrutiny applied to API gateways and identity providers.

Google Gemma Tech Brings 28.9M LLM to ESP32 Microcontrollers

Google Gemma Tech Brings 28.9M LLM to ESP32 Microcontrollers

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 HN AI Security

A developer has demonstrated a 28.9-million-parameter language model running entirely on an ESP32-S3 microcontroller costing approximately $8, leveraging Google's Gemma-derived Per-Layer Embeddings technique to fit the model into severely constrained hardware. This capability fundamentally shifts the threat model for embedded and IoT systems by enabling local, offline AI inference with no server-side visibility or logging. Defenders must now account for AI-driven logic executing on physically accessible, low-cost hardware that is difficult to monitor, patch, or audit at scale.

AWS Adds Bedrock Guardrails Best Practices for Code Generation

AWS Adds Bedrock Guardrails Best Practices for Code Generation

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 AWS Machine Learning Blog

AWS has published guidance on applying Amazon Bedrock Guardrails to code generation workflows, detailing how to configure content filters, topic denials, and output controls for AI-assisted coding pipelines. For defenders, this surfaces the inverse risk: organisations that misconfigure or partially implement these guardrails expose code generation endpoints to prompt injection, malicious code output, and filter-evasion attacks. Security teams must treat guardrail configuration as a first-class security control, not a default-on safety net.

Anthropic Brings Voice Mode to Claude Opus and Sonnet Models

Anthropic Brings Voice Mode to Claude Opus and Sonnet Models

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Verge AI

Anthropic has expanded Claude's voice mode to its more capable Opus and Sonnet models, with agentic integrations into productivity apps including Gmail, Slack, and Canva. This significantly widens the attack surface by combining a natural-language voice input channel with agentic action-taking capabilities across third-party platforms. Defenders must now account for voice-based prompt injection, cross-app lateral movement via conversational instruction, and the difficulty of auditing spoken-language interactions at scale.

AgentForger Flaw Lets Attackers Plant Invisible AI Agents in Orgs

AgentForger Flaw Lets Attackers Plant Invisible AI Agents in Orgs

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.0 SecurityWeek

A newly patched vulnerability in OpenAI's ChatGPT agent infrastructure, dubbed AgentForger, allowed attackers to create, insert, and remotely control invisible autonomous AI agents inside victim organisations. The flaw represents a serious escalation in agentic AI risk, enabling adversaries to operate as a trusted AI insider without detection. OpenAI has issued a fix, but the technique highlights systemic risks in deploying autonomous AI agent frameworks within enterprise environments.

Agentic AI Disrupts Confidential Computing Security Boundaries

Agentic AI Disrupts Confidential Computing Security Boundaries

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Dark Reading

Agentic AI systems are introducing new security challenges to confidential computing environments, threatening the trust boundaries that Trusted Execution Environments (TEEs) and secure enclaves were designed to enforce. Defenders must contend with the fact that agents operating inside or alongside confidential compute environments can exfiltrate data, accept malicious instructions, or undermine attestation guarantees in ways that existing controls were not designed to catch. Security teams deploying AI pipelines adjacent to sensitive data vaults need to reassess their threat models to account for agentic autonomy as a new attack surface.

Azure DevOps MCP Prompt Injection Hijacks AI Review Agents

Azure DevOps MCP Prompt Injection Hijacks AI Review Agents

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.1 The Hacker News

A prompt injection flaw in Microsoft's official Azure DevOps MCP server allows attackers to embed hidden instructions inside pull request descriptions using HTML comments, invisible to human reviewers but passed raw to AI agents. Because the affected tool lacks the spotlighting guardrail Microsoft already applied to other tools in the same server, a low-privileged contributor can hijack a senior reviewer's AI agent to exfiltrate secrets, trigger pipelines, and read confidential wikis across unrelated projects. The vulnerability represents a textbook confused-deputy escalation in an agentic AI workflow, confirmed unpatched as of July 21, 2026.

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