Team Cymru, the trusted intelligence partner to the world’s most targeted organizations, today released its Voice of Cybersecurity Strategist Report, exposing a critical disconnect between security ambition and real-world execution. Despite increased investment, many organizations still operate with limited visibility of critical external attack surfaces and active threat infrastructure, leaving blind spots where risk actually materializes. The results reveal meaningful gaps between perceived readiness and operational capability, particularly around external visibility, threat intelligence, and AI-driven security priorities.
Key findings include:
- 50% of security practitioners say they experienced a major security breach in the past year
- 72% of those breached say their threat hunting program played a key role in preventing or mitigating the breach
- Only 38% report comprehensive, real-time visibility into threats beyond the network perimeter (45% report “good” visibility)
- AI-enabled threats are the top emerging concern (22%), ahead of ransomware (20%) and cloud service vulnerabilities (17%)
- 45% cite insufficient real-time threat intelligence as their biggest external threat intelligence gap
- 60% allocate 20% to 40% of their threat intelligence budget to external threat intelligence and monitoring, and 32% allocate more than 40%
- The ability to leverage AI is the top evaluation criterion for threat intelligence investments (52%)
- AI-enhanced threat detection and response is ranked the most critical security capability (61%)
The report underscores a growing “confidence versus capability” gap across modern security infrastructures protecting critical infrastructure, government agencies, and civilian-reliant business operations.. While most respondents believe they have “good” visibility into threats beyond their perimeter, only 38% say that visibility is comprehensive and real-time. That shortfall matters more as attacks accelerate and adversaries expand beyond traditional boundaries.
At the same time, AI is reshaping both sides of the fight. AI-enabled threats ranked as the top emerging concern among respondents (22%), narrowly outpacing ransomware (20%). In response, organizations are prioritizing AI in their security strategy, with 52% naming the ability to leverage AI as their top criterion when evaluating threat intelligence investments, and 61% ranking AI-enhanced threat detection and response as the most critical capability for an effective security program. Yet the report also suggests many programs are still constrained by foundational data and integration issues, with 45% citing insufficient real-time threat intelligence as their biggest gap, and 42% pointing to challenges integrating external threat data with internal tools.
Investment and operating models are shifting toward external, technology-driven defense. 92% of respondents allocate at least 20% of their threat intelligence budget to external threat intelligence and monitoring, including 32% who allocate more than 40%. When it comes to resourcing, 44% report a mostly technology-focused approach to balancing tools and people, signaling a push toward automation, orchestration, and integrated workflows to increase team efficiency.
Measuring value is increasingly tied to proactive outcomes. The primary metric respondents use to assess external threat intelligence effectiveness is spotting threats before they affect the organization (27%), followed closely by faster threat detection (26%). When communicating to boards and executive leadership, respondents most often cite the number of incidents prevented or detected (50%) and mean time to detect and respond (50%), reflecting a focus on tangible outcomes and operational speed.
The report also highlights why progress can stall. The biggest challenge to funding threat intelligence initiatives is a focus on compliance requirements over threat-driven investments (26%), followed by competing priorities within the security program (23%) and limited executive understanding of external threats (22%). Looking ahead, the top planned strategic shift over the next 12 to 24 months is increasing the efficiency of the existing security team (45%), alongside aligning with increasing regulatory compliance (40%) and consolidating threat intelligence suppliers (39%).
Methodology
Team Cymru surveyed 121 information security, cybersecurity, and risk management leaders responsible for setting cybersecurity strategy, approving security technology investments, and managing security budgets and resources. The survey was conducted online via Pollfish using organic sampling beginning April 17, 2025 capturing perspectives across multiple industries.
To download the full Voice of the Cybersecurity Strategist report, visit here.
Team Cymru uncovers 80,000+ LLM relays enabling frontier AI abuse
Posted in Commentary with tags Team Cymru on September 22, 2026 by itnerdNew research out today from Team Cymru has uncovered a massive ecosystem of more than 80,000 LLM relay servers capable of allowing users to hide their true location and identity while accessing frontier AI models, creating a potential pathway for everything from region-ban evasion and credential sharing to large-scale model distillation.
In “Relaying to the Frontier,” Team Cymru researchers initially identified nearly 11,000 confirmed “transfer stations” running open-source relay software designed to pool AI credentials and proxy requests to providers including Anthropic, OpenAI, Google and xAI. Since completing the initial analysis, Team Cymru has expanded its discovery to more than 80,000 relays across multiple services.
The researchers also uncovered a cluster showing the system in action. More than 4,000 IP addresses in China and Hong Kong connected to 304 transfer stations, which subsequently reached Western and Chinese AI services. Over just eight days, those source addresses sent roughly 14 TB to the relays and received more than 7 TB back. In one subset involving Anthropic, 17 transfer stations uploaded approximately 81 GB to api.anthropic.com while receiving only about 1.4 GB in return, a 58:1 upload-to-download ratio. Team Cymru estimates that, if the uploaded data was text-based context, it could represent roughly 16–23 billion input tokens.
Relaying to the Frontier: https://www.team-cymru.com/post/llm-gateway-frontier-model-abuse
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