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Rapid7 named a Leader in the IDC MarketScape: Worldwide MDR Service for Midmarket 2026 Vendor Assessment

IDC has named Rapid7 a Leader in the 2026 Worldwide Managed Detection and Response Service for Midmarket 2026 Vendor Assessment (Doc #US52992326, July 2026). We believe this recognition and research highlights where MDR is heading.Many security programs are still built around a reactive sequence of detect, triage, and respond, but the timelines surrounding modern attacks have changed too quickly for that model to hold up on its own. Time-to-exploit has dropped from two years to 22 hours, while …

Metasploit Framework 6.5 Released

Today we’re proud to announce that Metasploit Framework version 6.5 has been released. Over the past two years, with the help of countless contributors, we’ve added 422 new modules along with a whole slew of new features.Malleable C2 Profiles for HTTPOne of the latest and most requested features is support for Malleable C2 profiles across all current Meterpreter payloads. This feature enables users to load a standard profile into Meterpreter and change the shape of its HTTP(S) traffic. All Mete…

Batten Down Your Packages: Mitigation Guidance for Supply Chain Compromise

Written by: Kelli Vanderlee, Stuart Carrera For years, the cybersecurity industry's understanding of software supply chain compromise has been anchored by a few watershed events, including Russian cyber espionage actor ICE RELIC’s (formerly known as APT29) 2020 compromise of SolarWinds and North Korean cyber espionage actor UNC4736's 2023 compromise of 3CX. However, Google Threat Intelligence Group (GTIG) has been tracking growth in threat activity targeting open source software repositories to…

The Next Evolution of MDR: Preemptive Defense and Agentic Investigation

For years, security operations followed a familiar sequence: detect suspicious activity, investigate what happened, and respond before it caused significant harm. That model developed in a threat landscape where defenders had considerably more time to establish the facts and decide what to do next. In 2019, the average data breach took 206 days to identify and another 73 days to contain, creating a total breach lifecycle of 279 days.As the time between initial access and attacker movement conti…

Demystifying AI Exploits: A Blueprint for AI-Assisted Vulnerability Management

Written by: Jules Czarniak Introduction As highlighted in the Mandiant M-Trends 2026 report, the mean time-to-exploit (TTE) has dropped to -7 days, meaning vulnerabilities are often exploited a week before a patch even exists. To keep pace, many security teams are exploring how to integrate large language model (LLM) agents into their codebases, development environments and continuous integration and continuous delivery (CI/CD) pipelines for automated vulnerability discovery and remediation. Ho…

The Risk of Exposed Cloud Functions and How to Harden

Written by: Corné de Jong Introduction Mandiant security assessments frequently identify publicly exposed serverless applications that lack authentication, often as a result of specific business requirements. Serverless deployments typically run custom-developed code that incorporates third-party packages, making them targets for a wide range of application-level attacks, including: Local and Remote File Inclusion (LFI/RFI) Command Injection Successful exploitation of these vulnerabilities can …

TuxBot v3: Inside an IoT Botnet Framework With LLM-Assisted Development

TuxBot v3 Evolution, an IoT botnet framework built with LLMs. Read our analysis of its cross-compiled binaries, C2 architecture and bugs. The post TuxBot v3: Inside an IoT Botnet Framework With LLM-Assisted Development appeared first on Unit 42.

Microsoft Patches a Record 570 Security Flaws

Microsoft Corp. today released software updates to plug at least 570 security holes in its Windows operating systems and other software, almost triple the number of vulnerabilities the software giant fixed in its record-smashing Patch Tuesday release last month. Microsoft attributed the burgeoning patch counts to vulnerability discoveries aided by artificial intelligence.

Build your own vulnerability harness

We break down the technical architecture behind our multi-stage vulnerability discovery harness and automated triage loop. Learn how we manage state controls, squash false positives through adversarial review, and route around LLM context limits.

Public and Private Medical Community Targeted by China-Nexus Threat Actor Pursuing Artificial Intelligence, Cyber, Medical, and National Defense Research

Written by: Patrick Whitsell, John McGuiness, Muhammad Umair Google Threat Intelligence Group (GTIG) has identified a sophisticated campaign attributed to UNC6508, a People's Republic of China (PRC)-nexus threat actor, targeting institutions in the North American academic, medical, and military research community. While remaining undetected for over a year, the threat actor compromised externally facing web applications, deployed bespoke malware, pivoted to sensitive internal systems, and abuse…

Buffer Over-read when receiving improperly sized ICMPv6 packets

Bulletin ID: AWS-2025-023 Scope: AWS Content Type: Important (requires attention) Publication Date: 2025/10/10 10:15 PM PDT We identified the following CVEs: CVE-2025-11616 - A Buffer Over-read when receiving ICMPv6 packets of certain message types which are smaller than the expected size. CVE-2025-11617 - A Buffer Over-read when receiving a IPv6 packet with incorrect payload lengths in the packet header. CVE-2025-11618 - An invalid pointer dereference when receiving a UDP/IPv6 packet with an i…

Amazon Q Developer and Kiro – Prompt Injection Issues in Kiro and Q IDE plugins

Bulletin ID: AWS-2025-019 Scope: AWS Content Type: Important (requires attention) Publication Date: 2025/10/07 01:30 PM PDT Description: We are aware of blog posts by Embrace The Red (“The Month of AI Bugs”) describing prompt injection issues in Amazon Q Developer and Kiro. Amazon Q Developer: Remote Code Execution with Prompt Injection” and “Amazon Q Developer for VS Code Vulnerable to Invisible Prompt Injection. These issues require an open chat session and intentional access to a malicious f…

Bringing AI agents to Chrome Enterprise security management

Two dashboard side by side

Project Glasswing: what Mythos showed us

In recent weeks, we pointed Mythos and other security-focused LLMs at live code across critical parts of our infrastructure. We share what we observed, the models’ strengths and weaknesses, and what the work around them needs to look like before any of it can scale.

AI threats in the wild: The current state of prompt injections on the web

Posted by Thomas Brunner, Yu-Han Liu, Moni PandeAt Google, our Threat Intelligence teams are dedicated to staying ahead of real-world adversarial activity, proactively monitoring emerging threats before they can impact users. Right now, Indirect Prompt Injection (IPI) is a top priority for the security community, anticipating it as a primary attack vector for adversaries to target and compromise AI agents. But while the danger of IPI is widely discussed, are threat actors actually exploiting th…

AI threats in the wild: The current state of prompt injections on the web

We initiated a broad sweep of the public web to monitor for known indirect prompt injection patterns. This is what we found.

Managed OAuth for Access: make internal apps agent-ready in one click

Managed OAuth for Cloudflare Access helps AI agents securely navigate internal applications. By adopting RFC 9728, agents can authenticate on behalf of users without using insecure service accounts.

Artificial Foolishness: The Hidden Dangers of External-Facing LLMs

The rise of AI opens more doors to attackers

Google Workspace’s continuous approach to mitigating indirect prompt injections

Indirect prompt injection (IPI) is an evolving threat vector targeting users of complex AI applications with multiple data sources, such as Workspace with Gemini. This t…

Google Workspace’s continuous approach to mitigating indirect prompt injections

Posted by Adam Gavish, Google GenAI Security TeamIndirect prompt injection (IPI) is an evolving threat vector targeting users of complex AI applications with multiple data sources, such as Workspace with Gemini. This technique enables the attacker to influence the behavior of an LLM by injecting malicious instructions into the data or tools used by the LLM as it completes the user’s query. This may even be possible without any input directly from the user.IPI is not the kind of technical proble…

OpenClaw, Rogue Agents, and Application Hygiene

OpenClaw AI agents pose identity and data risks if deployed with broad cloud permissions. Learn how to find and secure these apps before an attacker does.

Cloudflare Client-Side Security: smarter detection, now open to everyone

We are opening our advanced Client-Side Security tools to all users, featuring a new cascading AI detection system. By combining graph neural networks and LLMs, we've reduced false positives by up to 200x while catching sophisticated zero-day exploits.

RSAC 2026 wrap-up – Week in security with Tony Anscombe

This year, AI agents took the center stage – as a defensive capability, but more pressingly as a risk many organizations haven't caught up with

Reflections from the Second NIST Cyber AI Profile Workshop

Thank you to everyone who participated in the Cybersecurity Framework Profile for Artificial Intelligence (Cyber AI Profile) Workshop in January! The input we received on the Preliminary Draft during this workshop has been invaluable and is informing the development of the next draft of the NIST Cyber AI Profile. We are working toward publishing a full workshop summary soon that captures themes and highlights from the event. In the interim, we would like to share a preview of what we heard… Bac…

AI Exposure and CTEM: The Next Frontier of External Risk

Prepared by: Sudhanshu Chauhan 🔗 (Director, RedHunt Labs) and Devang Solanki 🔗 (Security Researcher, RedHunt Labs) There is a loop in cybersecurity. A new technology enters the enterprise. Adoption moves faster than governance. Security teams hear about it during incident response instead of during planning. And the exposure window, that gap between deployment and visibility, gets exploited before anyone realizes it even existed. We saw it with open cloud storage buckets. We saw it with expos…

AI Security for Apps is now generally available

Cloudflare AI Security for Apps is now generally available, providing a security layer to discover and protect AI-powered applications, regardless of the model or hosting provider. We are also making AI discovery free for all plans, to help teams find and secure shadow AI deployments.

AI Security for Apps is now generally available

Cloudflare AI Security for Apps is now generally available, providing a security layer to discover and protect AI-powered applications, regardless of the model or hosting provider. We are also making AI discovery free for all plans, to help teams find and secure shadow AI deployments.

Top 5 AI Security Risks in 2026