Volt Typhoon, a China-government backed hacking group that has infiltrated America’s critical infrastructure networks for years, has consistently built and dismantled ephemeral malicious infrastructure to burrow into hundreds of sensitive systems undetected, Lumen Technologies’ Black Lotus Labs said in a Wednesday report.

The covert access operation that researchers call “Silent Train” isn’t a standalone network, but rather a series of compromised small office home office (SOHO) routers, internet of things (IoT) devices and enterprise infrastructure that Volt Typhoon has rapidly rotated through since late 2023. 

The Chinese threat group has used this chain of short-lived compromised infrastructure to exploit additional vulnerabilities, including zero-days, in network edge devices and gain deeper, persistent access into victim networks, researchers said. 

“Individual chains are assembled and dismantled every day, with infrastructure continually refreshed,” Michael Horka, principal information security engineer at Black Lotus Labs, told CyberScoop. “Volt Typhoon demonstrated a repeatable capability to rebuild a new chain with different infrastructure in less than two minutes, making the number of nodes at any one moment effectively close to zero.”

Black Lotus Labs has notified hundreds of victims since it first identified Silent Train activity, including telecom providers, government entities, defense contractors, communication services, universities and IT firms. Other victims spanning critical infrastructure include organizations in the water, energy, transportation, maritime, rail, aviation and emergency services sectors.

“The ephemeral nature of the framework means our observations should not be interpreted as a complete census of Volt Typhoon activity,” said Horka, who also was the lead researcher on the report.

The nation-state group’s investment in operational security and preserving access is remarkable, according to Black Lotus Labs.

“We observed infrastructure assembled in under two minutes, sessions averaging roughly four hours, extensive cleanup, compartmentalization and continued development of new access vectors,” Horka said. “That is considerable effort devoted not even to get into their end targets, but purely to making important operations difficult to discover and trace.”

Volt Typhoon relied more heavily on Silent Train after the FBI and Justice Department disrupted the KV Botnet in early 2024, researchers said. Earlier this year, U.S. and global authorities warned about a widespread shift in Chinese hacking groups’ use of covert networks riding on compromised common devices.

The reach of those efforts is extensive and ongoing. Volt Typhoon has exploited and abused more than 27 device classes in Silent Train operations, including edge devices, enterprise management tools, identity and access management systems, networking infrastructure and other technologies. 

“The diversity matters, but the discipline matters even more,” Horka said. “Specific device types were consistently reserved for particular positions in the chain. It operated less like a collection of randomly compromised devices and more like an organized inventory of capabilities.”

The threat group has successfully compromised devices and technologies from Fortinet, Cisco, ManageEngine, Ivanti, F5, Check Point, Palo Alto Networks, ServiceNow, TP-Link, Netgear and ArcGIS, researchers said. Black Lotus Labs also observed confirmed zero-day campaigns targeting Versa Director, N-Able N-Central, Cisco Catalyst SD-WAN and VeloCloud Orchestrator. 

“The exploitation patterns, victimology, and geographic targeting observed throughout our investigation point to a sustained focus on communications, defense, government, and critical infrastructure environments of enduring strategic value,” Black Lotus Labs researchers wrote in the report. “Through repeated targeting of centralized management platforms and control-plane technologies, Silent Train shows how Volt Typhoon systematically pursues and preserves access to some of the most consequential networks in the United States.”

Silent Train’s ephemerality and operational discipline means it can’t be measured in size. These attributes also make it “fundamentally difficult to disrupt because there isn’t one network to take down,” Horka said. 

“What exists today will be completely different tomorrow,” he added. “You can try to remove individual pieces, but removing the actor’s ability to continuously rebuild them is a much harder problem to solve.”

The post Researchers uncover Volt Typhoon’s covert, ephemeral network appeared first on CyberScoop.

IonQ announced Monday that it will acquire Elisity, a zero-trust network security firm, in an all-stock transaction valued at up to $1.3 billion that folds enterprise access control into the quantum computing company’s expanding cybersecurity business.

Elisity, founded in 2019, sells a software policy layer that governs which users, devices, workloads and AI agents can communicate across a network, independent of the underlying network technology. The California-based company reports more than 100 global deployments and says revenue and customer counts have doubled year over year, with no churn among deployed customers.

Maryland-based IonQ, whose core business is quantum computing, has been building a security arm around post-quantum cryptography and quantum key distribution, technologies intended to replace or supplement encryption that future quantum computers may be able to break. 

The combination addresses what the companies describe as a two-front problem: conventional attacks that operate at machine speed, and the risk that encrypted data could be retained until quantum decryption becomes practical, a concept known as “harvest now, decrypt later.”

“Our customers need to contain attacks today, put AI to work safely, and prepare for quantum risk,” Elisity CEO James Winebrenner wrote in a blog post announcing the deal. 

IonQ Chairman and CEO Niccolo de Masi struck a more urgent note in a release announcing the deal: “Q-Day is coming much faster than predicted,” he said, referencing the point at which quantum computers could break current encryption technology. 

Both governments and the technology industry have accelerated their timelines to adopt post-quantum cryptography over the past few years. This is partly due to a belief among executives in the U.S. quantum sector that Chinese scientists and labs have achieved breakthroughs across several different fields of quantum computing over the past two years.

The Trump administration recently issued an executive order directing federal agencies to boost the domestic quantum industry and move up internal timelines for migrating to PQC encryption from 2035 to 2030. Google, a potential industry bellwether, and other companies have opted to move their own migration timelines to 2029.

Winebrenner told CyberScoop those deadlines are easier to set than to meet. Enterprises will hace to start with identifying the information and operations that need protecting, then mapping the identities, communications and cryptographic dependencies that support them.

“You won’t replace every legacy system at once,” he said. The approach is to migrate what can be migrated, test interoperability and operational impact, and tightly control access around systems that need more time. Segmentation helps contain threats, he added, but does not replace the cryptographic upgrades.

Elisity’s planned role in that transition is to connect identity data to cryptographic decision-making. Its roadmap would extend its IdentityGraph product with cryptographic inventory and risk information, allowing customers to rank post-quantum upgrades by business risk.

The deal also reflects how AI agents are reshaping network security. Elisity’s platform already treats AI agents and other non-human identities as subjects of access policy, and the company has joined the Open Secure AI Alliance with priorities that include least-privilege rules for sanctioned agents, containment of agentic threats and control of unsanctioned AI.

Winebrenner identified the hardest unresolved problem in agent control as maintaining trustworthy identity and authorization as an agent’s task, tools and delegated permissions change. “Knowing an agent is approved is only the beginning,” he said. “You need to understand whose authority it is exercising, what it needs to reach right now and when that access should end.” His prescription is least privilege down to the task: “An AI agent should have access only to the resources its task requires, including when it interacts with older infrastructure.”

The deal is expected to close in the fourth quarter of 2026, subject to regulatory approval.

UPDATE: 10/12/2026, 4:25 p.m.: This story has been updated with comments from Elisity CEO James Winebrenner.

The post IonQ to buy zero-trust security firm Elisity in deal valued at up to $1.3 billion appeared first on CyberScoop.

Citrix took most of the weekend to confirm that attackers were actively exploiting the newest round of NetScaler zero-days, leaving network defenders and threat hunters to react without official confirmation. 

Yet, behind the scenes, multiple CERTs, advisory firms, insurance providers, researchers and chatty security professionals warned their respective peers and communities of a live and serious threat. 

Nearly two days after the first unconfirmed rumors, Citrix published a security advisory Sunday disclosing the exploited zero-days, CVE-2026-88771 and CVE-2026-88772, releasing patches for them and six additional defects.

By then, criticism was at a fever pitch, and for some NetScaler customers the warning came too late. 

“The information vacuum was most striking. Customers were receiving warnings through unofficial channels while Citrix remained publicly silent,” Ben Harris, founder and CEO at watchTowr, told CyberScoop. 

“Customers were left without communication, guidance, or even acknowledgement that the vulnerability that was rumored to exist was real. Citrix could have warned customers that active exploitation was occurring and provided immediate defensive guidance without disclosing technical details that would help attackers,” he added. 

“When active exploitation is underway, hours matter,” Harris said.

Citrix did not directly answer questions about the lengthy communication delay. 

“We recently identified critical vulnerabilities in Citrix NetScaler ADC and Citrix NetScaler Gateway that led us to immediately develop and release a new version of the software that addresses the issues,” the company said in a prepared statement.

The critical defects are both rated 9.5 on the CVSS scale and allow attackers to achieve remote code execution. 

Researchers are particularly concerned about CVE-2026-88771, a command-injection vulnerability that affects all NetScaler appliances in a default configuration. That gives attackers a broad pool of targets and a better chance at successful exploitation. A proof-of-concept exploit for the vulnerability is also publicly available. 

Palo Alto Networks said it identified more than 50,000 publicly exposed instances of Citrix NetScaler devices potentially vulnerable to both of the zero-days as of Sunday. 

The earliest known exploitation attempt occurred Sept. 24 when GreyNoise said it observed an unsuccessful exploitation attempt against a Citrix NetScaler Gateway under its control for malicious activity scanning purposes. But researchers warn that exploitation likely started before then.

Citrix did not say how many customers have been compromised thus far and researchers are still assessing the fallout.

Citrix said it is making generic indicators of compromise available to customers in their user consoles, and the company referred to previously issued guidance for customers who suspect compromise. 

Attribution for the attacks is also still under investigation, yet NetScaler products are a common, recurring target for financially-motivated cybercriminals and state-sponsored espionage groups. 

The Cybersecurity and Infrastructure Security Agency issued an alert Sunday after Citrix publicly confirmed the attacks on its customers, and added CVE-2026-88771 and CVE-2026-88772 to its known exploited vulnerabilities catalog. The vendor has appeared on the agency’s list of vulnerabilities known to be exploited five times this year, and a total of 26 times since late 2021.

Security leaders across the industry — including Charles Carmakal, chief technology officer at Mandiant Consulting, and Wendi Whitmore, chief security intelligence officer at Palo Alto Networks — also sprung into action Sunday, with direct warnings on LinkedIn about the urgent threat. 

The information vacuum that persisted through most of the weekend put cybersecurity professionals in sometimes unique positions. Joe Toomey, vice president of underwriting security at insurance provider Coalition, said the company notified potentially vulnerable customers with limited official data and no confirmation from CISA or Citrix.

In a LinkedIn post Sunday, he called Citrix “unconscionably irresponsible” for remaining silent for more than 36 hours after word began circulating about in-the-wild exploitation.

“I fully understand a vendor embargoing specific details about a vulnerability when a patch has not yet been published, but once the vuln is exploited in the wild, some of those rules no longer apply,” Toomey wrote.

Citrix and its customers are in familiar territory. The vendor’s products have been widely targeted in previous attack sprees, often involving zero-day exploits and some infamously referred to as CitrixBleed and CitrixBleed 2.

“Citrix has a history of delaying the publication of vulnerabilities, even when they’re being exploited in the wild and affecting customers. Citrix eventually released patches and an advisory, but an adequate response also requires timely, clear communication,” Harris said. 

“Customers shouldn’t have to rely on unofficial warnings, security researchers, and third parties to learn that critical infrastructure may already be compromised,” he added. “This latest incident raises serious questions about whether Citrix has learned from previous crises and meaningfully improved how it protects and informs customers.”

The post Citrix patches actively exploited NetScaler zero-days after a weekend of unofficial warnings appeared first on CyberScoop.

The Trump administration rolled out a six-month test program in Texas on Monday that will draw on volunteer expertise and technology from cyber and artificial intelligence companies to protect the water sector.

“Project Watershed 250” is the first of the state-based, industry-centric pilot projects to cross the finish line that the Office of the National Cyber Director has previewed since the publication of its national cybersecurity strategy earlier this year. Water systems have long been viewed as among the most vulnerable and neediest critical infrastructure sectors, and in recent months the sector has been the victim of a spree of attacks.

“Project Watershed 250 is a commitment from the states, industry and federal government that we will continue to prioritize our nation’s safety and deliver on America-first policies for the American people,” National Cyber Director Sean Cairncross said at a rollout event in San Antonio Monday.

“U.S. companies are providing world-class cyber capabilities, red teaming that tests utilities’ current defenses, system hardening using the latest private sector cyber tools and AI tooling that helps utilities’ frontier cyber defenders to protect Texas water systems and scale proven solutions across the country,” he said. “This six-month pilot program is designed to make our water and wastewater critical infrastructure more resilient and resistant to cyber attacks by proactively finding and fixing system weaknesses.”

The pilot program, featuring collaboration between federal and state governments, stands in contrast to how the Biden administration tried to tackle the issue, with audit requirements that some GOP states challenged in court, forcing Biden’s Environmental Protection Agency to withdraw its rule.

“For too long, at least on the federal level, the government has admired the problem of cybersecurity in water systems,” Cairncross said. “We are going to find out what works. We’re going to target that, and we are going to scale off of this and learn lessons.”

A dozen companies — Parsons, Microsoft, Fortinet, Google Cloud, Palo Alto Networks, Amazon Web Services, Reflection AI, Cloudflare, Zscaler, Forescout, Abnormal AI and Dragos — appeared at the rollout Monday to praise the initiative and tout their contributions to it.

Not everyone praised the initiative elsewhere, however. One cyber professional who works on water security issues, speaking on condition of anonymity, said the program was “all smoke” and that “there’s no real money behind it.”

“The White House did what it always does — reached out to industry with their hands out asking for industry to pay for things the government should be doing, at least in part,” the person said.

Texas Gov. Greg Abbott said the program would be overseen by Cairncross’s office and Texas Cyber Command, which was established just last year. Abbott cited the need for the program by mentioning “an Iranian-backed cyberattack” on 30 water systems across 12 states and a 2024 attack on the water system in Muleshoe, Texas, suspected to be the work of Russian hackers.

“The need for cyber resilience is overwhelming,” Abbott said. “Many rural providers simply don’t have the resources they need to be able to protect themselves.”

Watershed 250 isn’t the only federal effort to bolster water cybersecurity, with lawmakers introducing legislation in the aftermath of the recent attacks. Past legislation that Congress has enacted also sought to tackle the problem.

Updated 8/31/26: with comment from cyber professional.

The post ‘Watershed 250’ test program in Texas looks to private sector for water cybersecurity help appeared first on CyberScoop.

Unit 42’s top brass has seen enough from internal frontier AI model testing and malicious in-the-wild use of commercially available AI tools to be genuinely concerned.

“I can tell you without exaggeration that we believe that this is a generational shift in cybersecurity,” Sam Rubin, senior vice president of Palo Alto Networks’ threat intelligence arm, said in a media briefing Wednesday. 

A period of relative balance between security and exposure has been broken by frontier AI model capabilities that could allow attackers to find and exploit network weaknesses with speed, Rubin said.

Unit 42 warned that capabilities demonstrated by readily available agentic AI models, and those unlocked by frontier AI models that remain gated for defense, have shifted the balance of power from defenders to attackers.

“The defenses that we’ve had built up over years weren’t necessarily built for or prepared for these machine-speed attacks,” Rubin said. “Organizations are ill-equipped to detect and to respond quickly in the face of these attacks.

Back in April, when Anthropic brought Palo Alto Networks and other major technology companies together to form Project Glasswing, an initiative to find and address security defects with its Mythos model, Unit 42 estimated the same capabilities would be in the hands of attackers within a year. 

“Well, here we are five months later, and we’re starting to see the early waves of this threat in the wild,” Rubin said. 

Unit 42 is actively investigating an attack on one of its customers where an attacker used an agentic framework to exploit 50 applications and other weaknesses across the enterprise in less than 10 hours. Rubin estimates AI allowed the attacker to accomplish in 10 hours what would have taken at least 10 days in a pre-AI era. 

Attackers are already using AI across the entire attack chain, said Sherrod DeGrippo, vice president of threat intelligence at Unit 42. “We are not far from fully agentic attacks across all at once, but right now it’s piece by piece by piece,” she said. 

“AI has seeped into every part of what threat actors do,” including malware development at scale, delegation, social engineering and ransomware negotiations, DeGrippo added.

As such, she sees the threat landscape shifting in four areas. AI is a force multiplier, identity is the primary compromise vector, attackers are burrowing into foundational libraries and software supply chains “baked into the fabric of our digital world,” and nation-sponsored threat groups are learning more about points of weakness in enterprise systems, DeGrippo said.

Nobody is fully prepared for what’s coming and it would be naive or a bad defender mindset to think otherwise, she said. “This is a transformative period, and how organizations navigate that transformation is going to be make-or-break for a lot of them.”

The post Unit 42 warns AI has shifted balance of power from defenders to attackers appeared first on CyberScoop.

As AI-enabled hacking becomes a bigger threat for cybersecurity and national security, public attention has focused on mainly a few leading frontier AI companies developing more powerful large language models.

These models, and the billions of dollars behind them matter, but they’re only part of a larger shift. Enterprises are now building their own technology platforms that take these general-purpose LLMs and turn them into bespoke cybersecurity tools.

Industry professionals refer to these tools as a “harness.” They control the model’s behavior, limit its risks, and connect it to internal IT systems and networks so it can work reliably at scale.

New research from Cato Networks shared exclusively with CyberScoop shows how much power can come from a harness. It paired OpenAI’s ChatGPT 5.5 and GPT 5.5-Cyber models with its own tool and tested the abilities of the agent to hack into a victim network with as little human direction as possible.

Across six different scenarios, the pairing achieved complete end-to-end attack chains, including domain administrator privileges and Active Directory access, sometimes in as little as 40 minutes.

“What was most surprising is that first we saw that it was capable of doing accelerated reasoning and attack, and interacting and doing all this by itself, like doing all of the stages of the attacks,” said Guy Waizel, a tech evangelist at Cato Networks and one of the authors behind the research.

Critically, the most successful scenarios happened when the model was given appropriate operational context from the technical harness developed by Cato Networks.

“It does support that it’s not just about the frontier model,” said Waizel. “We found that [our harness] really helps the reasoning” of the LLM.

The agent was given some – but not abundant – resources to complete its tasks, including an external Kali Linux attack host, the simulated target’s public IP address and a set of low-level domain credentials acquired through phishing.

It was not provided with any other details, and had to probe further for key information, such as further knowledge of the server type (Microsoft Exchange), the target’s operating system, version, build number, internal network topology, access to higher privilege accounts and other critical assets, nor was agent given any predetermined attack paths.

The Cato Networks research uses OpenAI models, but only as an example. Waizel said he believes other models would likely achieve similar results. In any event, if current trends hold, the kind of capabilities provided by LLMs like GPT 5.5 are likely to be open-source within a year.

Cato Networks is far from alone. Most enterprises have their own AI harnesses, and  executives tell CyberScoop they are playing an increasing role in more effectively steering the frontier model workflows.

While AI tools can struggle to duplicate human workflows in other areas, LLMs have long shown potential in cybersecurity and coding, improving greatly over the past few years. The Trump administration has set up a new federal clearinghouse for exchanging information between the public and private sectors on AI-discovered vulnerabilities, while European groups are setting up their own organizations to coordinate globally on AI cyber threats.

Eric Doerr, chief product officer at Tenable, told CyberScoop a harness used in the company called “Hexa”  offers a defensive advantage:  it can work with different commercial LLMs while delivering consistent  results.

“One of the first things we do when we get a [new] model is say ‘Well, let’s run it through Hexa and see what we learn,’” said Doerr. “We have a whole bunch of benchmarks. Is it the same, is it better? Where is it better? Where is it worse?”

Hexa is meant to ensure that whichever model or models become dominant, Tenable will be able to integrate it into their tech stack and protect their most sensitive assets from unintended behaviors. That frees up the LLM to do what it does best: find vulnerable code and establish attacker pathways for exploiting them.

“For years, it has been true that there are way more potential issues that a company has to deal with: code vulnerabilities, things that are unpatched, misconfigurations,” said Doerr. “There’s way more than you can actually remediate, and you really need to understand the difference between what’s a theoretical problem and a real problem.”

Dan Rapp, chief AI and data officer at Proofpoint, said their harness, “Satori,” has become a critical tool for keeping their agentic AI on track while giving humans the ability to step in when things go awry.

“I think what you’re seeing in the foundation of frontier models is you have raw intelligence, raw reasoning power, but to get these systems to perform the way you want to, both context engineering – the content provided ensuring that its accurate and relevant – and the harness engineering are essential to actually get the systems to perform well,” Rapp told CyberScoop.

That was a common theme in interviews with companies. While frontier models come and go, or are overtaken by international competitors, there will always be the need for the model to operate with data and context that often only the organization can provide.  

It suggests that while policymakers and cybersecurity experts have focused on the spread of newer and more powerful frontier models, industry – and likely soon the cybercriminal underground — has quickly developed the kind of technical infrastructure that is becoming far more important to AI cyber defensive and offensive tasks.

“We’ve had to bootstrap quite a few of these systems from first principles, and what it always boils down to is how effective you are with the tool calling… bringing in data, enriching the context,” said John Hopper, vice president of product engineering at SpecterOps.

The post Forget the model. When it comes to cybersecurity, it’s all about the harness appeared first on CyberScoop.