Enterprise-Security

CUSTODY Framework Ships to Constrain AI Agents in Enterprise Networks

FIRST LOOK ATLAS OWASP MEDIUM ▲ 7.2 Dark Reading Aug 21, 2026

Security researcher Jake Williams has released CUSTODY, an open framework designed to impose structured boundaries on agentic AI systems operating inside enterprise networks, developed in direct response to observed attacks against AI infrastructure. The framework addresses a recognised gap in enterprise security tooling: the absence of standardised runtime controls governing what AI agents can access, invoke, or modify once deployed inside a network perimeter. Residual questions remain around integration maturity, coverage across heterogeneous agent platforms, and the operational overhead required to tune CUSTODY policies at scale.

Fortinet Acquires Virtue AI to Secure AI Models and Agents

FIRST LOOK ATLAS OWASP MEDIUM ▲ 6.8 SecurityWeek Aug 20, 2026

Fortinet has acquired AI security company Virtue AI, integrating its technology into Fortinet's portfolio to cover AI models, applications, and agentic systems. This acquisition closes a meaningful gap for enterprise defenders by bringing dedicated AI-native security capabilities — including protection for agentic workflows — into a widely deployed network and security platform. The primary residual question is integration maturity: how deeply Virtue AI's capabilities will be embedded in Fortinet's existing tooling, and on what timeline customers can realistically adopt them.

Anthropic MCP Server Security Risks and Secrets Exposure Explained

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 The Hacker News Aug 18, 2026

This analysis examines how Model Context Protocol (MCP) servers — the middleware layer connecting AI agents to enterprise tools and data — routinely store credentials in plaintext configuration files and propagate them across ungoverned environments. For defenders, the piece closes an awareness gap by naming concrete credential exposure patterns unique to the agentic AI layer, giving security teams a structured surface to inventory and govern. What remains unaddressed is tooling maturity: automated discovery, centralised secrets management integration, and runtime visibility into MCP server activity are still nascent capabilities that organisations must build rather than buy.

OpenAI Releases GPT-5.6 Cyber for Approved Security Partners

FIRST LOOK ATLAS OWASP LOW ▲ 7.8 BleepingComputer Aug 11, 2026

OpenAI has launched GPT-5.6 Cyber, a specialist model for vulnerability research, penetration testing, and incident response, available exclusively to vetted enterprise security partners including Accenture, CrowdStrike, and Palo Alto Networks via a tiered access programme called Daybreak. This closes a meaningful gap for defenders by embedding frontier-grade AI reasoning directly into managed security services and vendor platforms, enabling faster vulnerability discovery, exploitability validation, and remediation without requiring enterprises to build bespoke AI security infrastructure. Residual gaps remain around coverage breadth — organisations outside the approved partner ecosystem have no direct access path — and the programme's operational maturity will depend heavily on how consistently partners apply the mandated safeguards, logging, and human-oversight requirements.

Perplexity Launches Personal Computer AI Agent for Windows PCs

FIRST LOOK ATLAS OWASP HIGH ▲ 8.2 The Verge AI Jul 29, 2026

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.

Check Point 2026 AI Security Report: LLMs Now Run Live Attacks

ATLAS OWASP CRITICAL ▲ 9.2 Check Point Research Jul 14, 2026

Check Point Research's 2026 AI Security Report documents a fundamental shift in the threat landscape: AI has moved from a development accelerator to an active operator within live intrusions, with nation-state and criminal actors alike deploying LLMs to conduct hands-on attack operations. The report highlights the maturation of AI-enabled criminal tooling markets, the rise of indirect prompt injection as an operationally relevant attack vector, and persistent enterprise data leakage through unsanctioned AI application use. Agentic architectures are being specifically exploited through planted configuration files that persist malicious instructions across sessions, representing a durable and largely invisible bypass technique.

IGA Platforms Add AI Agent Governance and Access Control

FIRST LOOK ATLAS OWASP HIGH ▲ 7.8 The Hacker News Jul 03, 2026

A new analysis published via The Hacker News details how traditional Identity Governance and Administration (IGA) frameworks — built around HR-driven, human-centric lifecycle events — are fundamentally unequipped to govern AI agents acting as autonomous principals in enterprise environments. Security teams face a growing blind spot: AI agents acquire, retain, and exercise entitlements without triggering the joiner-mover-leaver workflows, manager attestations, or termination events that IGA tooling depends on. Defenders must now treat AI agent identities as a separate governance tier, requiring purpose-built provisioning, audit, and deprovisioning logic that existing platforms like Workday, SailPoint, and Azure AD connectors were never designed to provide.

AI Agent Hijacking via Legacy Infrastructure Exploits

ATLAS OWASP HIGH ▲ 7.5 The Hacker News Jun 23, 2026

Attackers are bypassing AI-layer defences entirely by exploiting unpatched legacy infrastructure — misconfigured Active Directory, stale credentials, and over-privileged IAM roles — to hijack the resources AI agents depend on. Research cited in the article shows 70% of organisations grant AI systems more access than a human in the same role, driving a 76% incident rate among over-privileged deployments. The article argues that securing AI agents requires closing the underlying infrastructure exposure gap, not just hardening the model layer.

Token Security Launches AI Agent Identity Platform

FIRST LOOK ATLAS OWASP HIGH ▲ 8.2 BleepingComputer Jun 20, 2026

Token Security has published analysis and launched a platform addressing the growing security gap created by AI agents operating as unmanaged identities within enterprise environments, connecting to critical systems like Salesforce, GitHub, Snowflake, and production databases with minimal governance. Most organizations have deployed AI agents using credentials provisioned for other purposes, creating high-privilege, low-visibility actors outside the scope of existing IAM controls. Defenders now face a sprawling, machine-speed identity layer that existing lifecycle management, least-privilege enforcement, and audit tooling were never designed to handle.

Orphaned AI Agents Bypass SailPoint Identity Controls

ATLAS OWASP HIGH ▲ 7.2 The Hacker News Jun 19, 2026

Enterprises deploying internal AI agents face a growing identity accountability gap: when the employee who created an autonomous agent leaves, the agent's access tokens and credentials often remain active and unmonitored. Traditional access management tools fail to detect this risk because they treat AI agents as static software rather than identity-bearing entities capable of exfiltrating sensitive data. The problem compounds at scale as shadow AI deployments proliferate across organizations without centralised visibility or ownership tracking.

Deepfakes and Prompt Injection Top AI Security Threats

ATLAS OWASP HIGH ▲ 7.2 Dark Reading Jun 08, 2026

Gartner analysts have identified deepfakes and prompt injection as two of four critical emerging threats where attackers currently hold a structural advantage over defenders. The advisory signals growing institutional recognition that AI-native attack vectors are maturing faster than enterprise defenses. Organizations are urged to treat these threats as priority items requiring immediate defensive investment.

Excessive Agency in AI Agents Enables Enterprise Breaches

ATLAS OWASP HIGH ▲ 7.2 Dark Reading Jun 04, 2026

Enterprises deploying AI agents with elevated permissions and minimal oversight face compounding security risks as agentic systems gain the ability to take real-world actions with limited human intervention. The attack surface expands dramatically when agents can access APIs, execute code, and chain decisions autonomously, making containment of a compromise significantly harder. Security teams must implement least-privilege principles and robust monitoring before agentic deployments scale beyond their ability to govern.

Shadow-AI Apps Expose Corporate Data via Misconfiguration

ATLAS OWASP HIGH ▲ 7.2 The Hacker News May 31, 2026

A Red Access investigation found over 2,000 corporate applications built on AI-assisted 'vibe-coding' platforms publicly accessible on the open internet, many containing sensitive business data with no access controls. These shadow-built apps connect directly to production systems — CRMs, ERPs, BI tools — creating a new class of unaudited attack surface invisible to conventional security stacks. Traditional controls such as CASB, DLP, and EDR are structurally blind to this threat because the risk originates at the application layer, not the identity or network layer.

SentinelOne Warns on Prompt Injection Risks in AI Agents

ATLAS OWASP MEDIUM ▲ 6.5 SentinelOne Blog May 25, 2026

SentinelOne has published guidance on securing agentic AI systems, framing unverified trust in AI agents as a core enterprise risk. The piece promotes their Prompt Security product as a control layer for AI tools, agents, and pipelines deployed across the enterprise. While primarily a product-focused announcement, it highlights the genuine security challenge of blind trust in autonomous AI agents executing actions on behalf of users and systems.

Gemini Spark Prompt Injection Exposes Enterprise Gmail Data

ATLAS OWASP MEDIUM ▲ 6.5 Simon Willison May 22, 2026

Google's newly announced Gemini Spark personal AI agent, integrated with Gmail, Drive, Calendar, and other sensitive Google services, presents a significant prompt injection attack surface as it processes user data at scale. The article highlights that Google's published security mitigations — ephemeral VMs, Agent Gateway, and DLP policies — address infrastructure isolation but do not directly address the prompt injection vector inherent to LLM-powered agents processing untrusted content. Additionally, the transition from open-source Gemini CLI to a closed-source Antigravity CLI raises supply chain transparency concerns.

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