Charting the future of SOC: Human and AI collaboration for better security

Security operations centers are under pressure from unprecedented scale and complexity. Speed, precision, and consistency matter more than ever, and AI is everywhere—but hype alone doesn’t solve the challenge. This blog shares our journey and insights from building autonomous AI agents for MDR...

Charting the future of SOC: Human and AI collaboration for better security

Security operations centers are under pressure from unprecedented scale and complexity. Speed, precision, and consistency matter more than ever, and AI is everywhere—but hype alone doesn’t solve the challenge. This blog shares our journey and insights from building autonomous AI agents for MDR...

Securing the Model Context Protocol (MCP): Risks, Controls, and Governance

The Model Context Protocol MCP replaces static, developer-controlled API integrations with more dynamic, user-driven agent systems, which also introduces new security risks. As MCP adoption grows across community servers and major platforms, organizations encounter threats that existing AI...

Amazon Is Using Specialized AI Agents for Deep Bug Hunting

Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platforms...

Lack of Sufficient Guardrails Lead to Excessive Agency (LLM08) in Some LLM Applications

Overview Retell AI's API creates AI voice agents that have excessive permissions and functionality, as a result of insufficient amounts of guardrails. As a result, attackers can exploit this and conduct large scale social engineering, phishing, and misinformation campaigns. Description Retell AI...

LLMs As Firmware Experts: A Runtime-Grown Tree-Of-Agents Framework

Large Language Models LLMs and their agent systems have recently demonstrated strong potential in automating code reasoning and vulnerability detection. However, when applied to large-scale firmware, their performance degrades due to the binary nature of firmware, complex dependency structures, a...

AI as Cyberattacker

From Anthropic: In mid-September 2025, we detected suspicious activity that later investigation determined to be a highly sophisticated espionage campaign. The attackers used AI’s “agentic” capabilities to an unprecedented degree­--using AI not just as an advisor, but to execute the cyberattacks...

PT-2025-47728

Name of the Vulnerable Software and Affected Versions ELEX WordPress HelpDesk & Customer Ticketing System plugin versions through 3.3.1 Description The ELEX WordPress HelpDesk & Customer Ticketing System plugin for WordPress has a flaw that allows unauthorized data modification. A missing...

Securing AI Agents against Prompt Injection Attacks

Retrieval-augmented generation RAG systems have become widely used for enhancing large language model capabilities, but they introduce significant security vulnerabilities through prompt injection attacks. We present a comprehensive benchmark for evaluating prompt injection risks in RAG-enabled A...

Hiding in the AI Traffic: Abusing MCP for LLM-Powered Agentic Red Teaming

Generative AI is reshaping offensive cybersecurity by enabling autonomous red team agents that can plan, execute, and adapt during penetration tests. However, existing approaches face trade-offs between generality and specialization, and practical deployments reveal challenges such as...

EUVD-2025-198045

Mattermost allows other users to determine when users had read channels via channel member objects...

Incorrect Default Permissions

Overview Affected versions of this package are vulnerable to Incorrect Default Permissions via the Agents plugin process. An attacker can access information about when users have read channels by querying channel member objects. Remediation Upgrade...

Mattermost allows other users to determine when users had read channels via channel member objects

Mattermost versions 10.11.x = 10.11.3, and 10.5.x = 10.5.11 fail to enforce access permissions on the Agents plugin which allows other users to determine when users had read channels via channel member objects...

GHSA-9HH7-6558-QFP2 Mattermost allows other users to determine when users had read channels via channel member objects

Mattermost versions 10.11.x = 10.11.3, and 10.5.x = 10.5.11 fail to enforce access permissions on the Agents plugin which allows other users to determine when users had read channels via channel member objects...

CVE-2025-53360

pluginsGLPI's Database Inventory Plugin "manages" the Teclib' inventory agents in order to perform an inventory of the databases present on the workstation. In versions prior to 1.0.3, any authenticated user could send requests to agents. This issue has been patched in version 1.0.3...

CVE-2025-55074

Mattermost versions 10.11.x = 10.11.3, 10.5.x = 10.5.11 fail to enforce access permissions on the Agents plugin which allows other users to determine when users had read channels via channel member objects...

CVE-2025-53360 pluginsGLPI's Database Inventory Plugin allows any authenticated user to send agent requests

pluginsGLPI's Database Inventory Plugin "manages" the Teclib' inventory agents in order to perform an inventory of the databases present on the workstation. In versions prior to 1.0.3, any authenticated user could send requests to agents. This issue has been patched in version 1.0.3...

EUVD-2025-198037

pluginsGLPI's Database Inventory Plugin "manages" the Teclib' inventory agents in order to perform an inventory of the databases present on the workstation. In versions prior to 1.0.3, any authenticated user could send requests to agents. This issue has been patched in version 1.0.3...

CVE-2025-53360

CVE-2025-53360 affects the pluginsGLPI Database Inventory Plugin for GLPI. Prior to version 1.0.3, any authenticated user could send requests to the Teclib’ inventory agents, effectively exposing/invoking inventory actions on workstation databases. The issue is mitigated by upgrading to version 1...

Agents built into your workflow: Get Security Copilot with Microsoft 365 E5

The cybersecurity landscape is at a historic inflection point. As cyberattackers wield AI to automate cyberattacks at extraordinary speed and scale, the challenge before us is not just to keep pace—but to leap ahead. There are over four million unfilled cybersecurity jobs, so depending solely on...