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Today โ€” 11 August 2026Security/Privacy

When Credentials Are No Longer Enough: Device Trust in the AI Era

AI is making phishing, credential theft, and social engineering faster and more efficient, while traditional trust signals such as passwords, MFA, IP reputation, and geolocation become easier to bypass. Specops explains why organizations are increasingly adding device trust to their Zero Trust strategies. [...]

OpenAI says Daybreak will expand to offer specialized cyber servicesย 

By: djohnson
10 August 2026 at 16:55

OpenAI announced Mondayย  it was expanding access to its frontier models for defensive cybersecurity, detailing different defensive and red-teaming workflows and a new partner program with major cybersecurity product providers.

In a pair of blogs posted Monday, OpenAI said it was updating its Daybreak programย  โ€“ which provides unreleased frontier models to private organizations and governments for defensive cybersecurity work โ€“ and introducing a new model variant.

Daybreak Blue, powered by OpenAIโ€™s ChatGPT-5.6-Sol, would operate with lower cybersecurity safeguards compared to other commercially available models and is described as โ€œa recommended starting point for most defendersโ€ that supports tasks like vulnerability discovery, secure code review, malware analysis, incident response and patch validation.ย 

Daybreak Red, meant for more advanced red-teaming, would provide access to a new model, dubbed GPT-5.6-Cyber, that the company said is more purpose-trained for finding vulnerabilities and testing (or exploiting) them. The model is also less likely to refuse requests around โ€œdual-use cyber tasks.โ€

According to OpenAI, the organizations in Daybreak Red will have their use closely monitored and supervised, as GPT-5.6-Cyber is significantly more capable in carrying out malicious cyber tasks than Sol. A security evaluation the company devised tested both models on complex requests, including exploit chain development, authentication bypass, privilege escalation and other hacking tasks. Sol succeeded in 1.5% of the requests, while Cyber completed 95%.

OpenAI said it plans to publish a more detailed system card for GPT-5.6-Cyber at a later date.

โ€œModels running with reduced safeguards carry risks beyond standard model usage, whether from misuse or misalignment,โ€ the company said in a blog. โ€œDespite these risks, we believe that democratizing access to frontier intelligence for defenders is crucial to accelerating and automating cyber defense.โ€

Additionally, OpenAI announced a partnership program with 16 major cybersecurity providers, saying organizations could access their models through their existing security services. The partners include IBM, CrowdStrike, Accenture, Ernst & Young, KPMG, Palo Alto Networks, Cisco, Cloudflare, Sophos and others.ย 

โ€œThese partners bring deep security expertise and established relationships with organizations around the world,โ€ OpenAI said in its blog. โ€œBy bringing our frontier cyber models into their services, we can help more defenders find serious vulnerabilities, validate which ones matter, and fix them faster.โ€

Companies like OpenAI, Anthropic and others are trying to rebalance their priorities after a string of AI-agent sandbox escapes have rattled policymakers and caused some cybersecurity experts to question if AI companies are doing enough to properly isolate the models from the internet during testing. Last week, OpenAI said it was intentionally slowing down development of its newer โ€œAstraโ€ model in order to develop better guardrails to restrain its behavior.

Cybersecurity and AI experts have told CyberScoop that while AI systems have greatly improved at finding and exploiting vulnerabilities in software code, they still require substantial human guidance and supporting infrastructure to operate as intended.

Additionally, some research has shown that without such guidance, even near-frontier models can struggle to fully patch a discovered vulnerability or avoid introducing new bugs with their fixes.

The post OpenAI says Daybreak will expand to offer specialized cyber servicesย  appeared first on CyberScoop.

NATO and an AI startup can now name and track software vulnerabilities

By: Greg Otto
10 August 2026 at 15:50

NATOโ€™s cyber defense arm and a startup that uses artificial intelligence to find software flaws can now issue the ID numbers the industry uses to track those flaws, the European Union Agency for Cybersecurity announced last week.ย 

The NATO Cyber Security Centre, part of the NATO Communications and Information Agency, and AISLE, a cybersecurity company with offices in San Francisco and Prague, joined as CVE numbering authorities under the ENISA Root. The CVE program assigns a unique record to each publicly disclosed security flaw so that governments, vendors and researchers have a common marker when referring to particular vulnerabilities.ย 

Twenty numbering authorities now sit under the ENISA Root, with 12 brought in by ENISA itself and eight moving over from the MITRE Root, run by the U.S. nonprofit that has handled the programโ€™s daily work for more than 20 years.

Hans de Vries, ENISAโ€™s chief cybersecurity and operations officer, linked the growth to changes in how people find flaws.ย 

โ€œRecent developments in the global cybersecurity landscape, coupled with the emergence of Frontier AI models and their impact on vulnerability discovery and exploitation, have underscored the need to build strong vulnerability management infrastructure and capabilities,โ€ he said in a statement. He said ENISAโ€™s role helps build a โ€œmore globally representative, resilient, and scalable vulnerability identification ecosystem.โ€

The two new members show how bespoke each member is within its authority. The NATO Cyber Security Centre can now assign CVE IDs to eligible flaws across the NATO enterprise. The agency said that will make tracking more consistent and let the alliance share information with trusted partners sooner. The center guards NATOโ€™s networks, watches for threats and coordinates the response when incidents hit.

Meanwhile, AISLEโ€™s authorization is narrower. The company said in a July press release that the designation covers vulnerabilities discovered in its own products, allowing it to publish identifiers without waiting for a third-party authority to process a request.ย 

Jaya Baloo, the companyโ€™s co-founder, described the step as โ€œfoundationalโ€ and said coordinated disclosure โ€œstarts with holding your own products to the same standard you expect of everyone else.โ€ Separately from the designation, the company said its researchers have disclosed hundreds of vulnerabilities in widely used open-source software, including OpenSSL, Linux, Apache and OpenEMR, each coordinated through the relevant authority for that project.

The changes come as the CVE process continues to involve amid program upheaval and the torrent of vulnerabilities discovered by AI systems.ย 

The CVE program, run by CISA, narrowly escaped a sudden demise when a last-minute, 11-month contract extension averted a shutdown in April 2025. Since then, several competing databases from European nonprofits and other private entities have been stood up in order to better coordinate how vulnerabilities are tracked, disclosed, and ultimately patched.

Earlier this year, The Computer Incident Response Center Luxembourg (CIRCL) launched the Global CVE Allocation System, or GCVE, as an alternative to the CVE program.

The post NATO and an AI startup can now name and track software vulnerabilities appeared first on CyberScoop.

AI Assistant Hacks Gym Website In First Known Australian Autonomous Cyber Attack

By: BeauHD
10 August 2026 at 12:00
An anonymous reader quotes a report from ABC News & Headlines: Andrew asked his personal assistant to book him a spot in one of his gym's coveted morning classes. It was a task he thought was well suited to this particular assistant because the booking form was online and because his assistant was not a person -- it was artificial intelligence (AI). But Andrew was shocked by what happened next. His AI assistant found a way to book the gym class months further in advance than the gym allowed, thanks to a vulnerability it discovered in the booking software. Then it went further, kicking someone out of the waiting list who was ahead of Andrew -- something it was not asked to do. The accidental hack is the first known Australian case of an emerging risk from a new generation of AI capable of behaving in unexpected ways.

Read more of this story at Slashdot.

DEF CON hackers add new muscle to water utility protection

10 August 2026 at 17:08
DEF CON hackers expanded their efforts to provide free cyber-defenses to rural water systems in the US to include managed detection and response providers, digital twins, and AI agents. On Friday, at the annual hackerโ€™s conference, DEF CON Franklin and the National Rural Water Association (NRWA) announced a new program called the Water Watch Center. It will initially fund five providers - Defendify, Legato Security, L1 Secure, Rapid7, and Sentinel Technologies - to help small water utilities serving fewer than 10,000 people detect and mitigate breaches. The security providers will exchange threat info and share that with the NRWA, which provides technical assistance and operational support to small water and wastewater utilities across all 50 states. โ€œWe've had our volunteer experts out for two years in these water utilities, in the trenches with these folks, and the thing that we've realized is that there's just not a scalable delivery mechanism for cyber for these utilities when thereโ€™s 150,000 of them, and 98 percent of them are small businesses,โ€ Jake Braun told The Register during an interview at DEF CON. Braun co-founded the Franklin project at DEF CON in 2024, and 350 people signed up that year to donate their time and talent to securing water facilities. โ€œWe groped around in the dark for what to do, and eventually realized we already know how to do security for small businesses - itโ€™s MSSPs,โ€ Braun said. โ€œSo why donโ€™t we just do that?โ€ He described the new Water Watch Center as a pyramid, with the NRWA at the top, the managed detection and response providersโ€™ sensors hunting for security vulnerabilities across the utilitiesโ€™ networks, and then Franklin volunteers fixing issues or responding to instructions as needed. โ€œWe have five initial MSSPs, which will expand to 10 eventually, based on the 10 CISA regions,โ€ Braun said. โ€œAnd then below that, we have volunteers who can help, and connect water utilities to MSSPs, so weโ€™re not just sending alerts. We can take the alerts that CISA and the ISAC put out, and deliver cybersecurity. Thatโ€™s been the missing piece: there has been no delivery mechanism for cybersecurity thatโ€™s scalable nationally - that's what this is.โ€ Suspected Iranian hackers have hit numerous water systems in recent weeks, and most were small, community systems that left programmable logic controllers directly exposed to the internet using default or weak passwords. Thereโ€™s no indication that the attackers used AI to help plan or carry out these digital disruptions. However, as both cyber and national security experts told The Register during conversations on the sidelines of Black Hat and DEF CON, itโ€™s only a matter of time until that happens. DEF CON Franklin has a plan for that scenario, too. The Water Watch Center also partnered with Vanderbilt University to apply research from the DARPA Cyber Agents for Security Testing and Learning Environment (CASTLE) program. This partnership will create digital twins for a few WWC water and wastewater system environments, and then researchers will deploy both red- and blue-team agents across these digital dupes. The red-team attack agents try to hack the water systems, testing the blue-team defendersโ€™ automated detection and response capabilities, with the eventual goal of deploying AI-based defense to water and wastewater facilities across the US. โ€œThey let it fight each other a gazillion times, and then they figure out when does the blue team win, so we can train agents to then later drop into these 150,000 water utilities,โ€ Braun said. โ€œThere's already a 500,000-person shortage of cyber professionals. The idea that we're magically going to find 150,000 new people is a fantasy. There is no other way to really be able to combat the AI attacks that are going to be coming at these things.โ€ ยฎ

North Korean spies are running local LLMs to cause AI mischief

10 August 2026 at 13:23
North Korean government snoops are operating LLMs locally and collecting technology to weave AI into their attack operations, according to South Korean security firm Genians. The researchers said they observed Kimsuky setting up and operating local LLM environments using Ollama, GPT4All, and Msty, experimenting with other AI tools such as Cursor, and using retrieval-augmented generation (RAG) for local document searches. This prevents the data from getting sucked into the cloud where enemies might see it and try to stop it. Kimsuky, a cyber-espionage crew that operates under North Korea's Reconnaissance General Bureau, has for years used phishing and decoy documents in attacks targeting government agencies, think tanks, academia and security research organizations. Geniansโ€™ findings โ€œprovide concrete evidence that the Kimsuky-affiliated threat actor is moving beyond one-off experimentation with AI and is continuously preparing to integrate the technology into actual attack capabilities, including malware development, data analysis, and the advancement of attack techniques,โ€ the researchers said in a Monday report. The North Korean groupโ€™s recent phishing emails use ZIP archives containing malicious LNK files - Kimsuky typically disguises these as materials related to international events, research reports, or meeting requests. When the recipient opens the archive and executes the LNK file contained within it, the shortcut runs an embedded PowerShell loader. In some cases, the goon squad used AI to create lures related to virtual assets and finance, weโ€™re told. These decoy documents โ€œuse natural language, a highly polished structure, and formats similar to actual business materials to increase user trust and induce the execution of malicious files,โ€ the security analysts noted. Additionally, the Pyongyang spies use various obfuscation techniques, including Base64 encoding, string splitting, and custom decoding routines, to hide the filesโ€™ malicious behavior. The PowerShell script collects a ton of system information, including operating system version and architecture, system configuration, PC type, operating system installation and boot history, and a list of running processes. The attackers use this information to assess the infected environment and support follow-on attacks. As with earlier Kimsuky campaigns, these intrusions use Git repositories for command-and-control (C2) infrastructure. โ€œDuring the analysis, Genians Security Center identified multiple public GitHub repositories operated by the threat actor,โ€ the researchers wrote. โ€œOne repository contained not only configuration files and PowerShell scripts, but also various payloads used in subsequent attacks.โ€ Additionally, the months-long investigation uncovered the spies also using the Git-based C2 infrastructure for malware development and testing, stolen data management, and AI technology research. This included setting up multiple local LLM environments using Ollama, GPT4All, and Msty on infrastructure it controlled. โ€œBecause the local approach prevents conversation data from being transmitted to external AI services, it reduces the risk of external exposure, making it a particularly attractive option for a state-sponsored threat actor,โ€ Genians said. The miscreants also collected a โ€œlarge numberโ€ of libraries, such as LLaMaSharp and Microsoft.Extensions.AI, plus packages including OpenAI and Azure.AI.OpenAI, which call and integrate commercial AI services into their own custom applications. โ€œThe fact that development components spanning 'local AI execution โ†’ document retrieval (RAG) โ†’ automated agents โ†’ external AI integration' were collected together strongly suggests that they were not gathered out of simple curiosity, but for the direct development of an AI-based tool designed for a specific purpose,โ€ according to the threat hunters. Genians uncovered logs containing speech-to-text tools, such as OpenAIโ€™s Whisper speech recognition models, and evidence that the spies used Cursor AI to edit code and tested RAG for document-based question answering. Using RAG on stolen files can help attackers more quickly and automatically identify valuable information within large volumes of data. While the researchers noted that they did not identify any evidence that the Norks have begun training their own models - but rather remain focused on applying AI to malware development and attack operations - the findings make a strong case for defenders needing to shift away from content-based assessment to behavior-based detection. Assessing threats based on the quality of fake documents, such as unnatural translated language, poor formatting, and spelling errors, is no longer effective because AI is really good at producing convincing decoys. In addition to using indicators of compromise (IoC) to detect attackers in their environments, organizations should look for anomalous behaviors following LNK execution - such as PowerShell execution, persistence establishment, and external communications - to hunt for threats.ยฎ

Attackers pick Levi's pockets in social engineering attack

10 August 2026 at 09:36
Levi Strauss is investigating a data breach after attackers used social engineering to access three employees' work computers. In a regulatory filing, the jeans maker said the intruders accessed and exfiltrated what it described only as "certain corporate information." Levi's said it spotted the intrusion, kicked off its incident response procedures, brought in outside cybersecurity experts, and managed to cut off the unauthorized access. Its investigation remains ongoing. There is some good news for anyone worried that their trouser-buying habits might now be circulating on the dark web: Levi's said its preliminary investigation indicates that no consumer data was affected. The company also said the attack caused no disruption to its operations and, based on what it knows so far, isn't expected to have a material impact on its business. Affected parties and regulators will be notified where required. While Levi's isn't sharing much else about the incident, Reuters reports that the company was also among more than 200 targeted over the past five weeks by ransom-seeking hackers using decidedly old-school social engineering techniques. Google researchers have been tracking several crews involved in the wider campaign, which it believes may sit under an umbrella group dubbed UNC6671. The attackers have been phoning employees on their personal mobiles while posing as colleagues or IT support staff, then directing them to spoofed login pages designed to harvest credentials and multi-factor authentication codes. Their targets have included financial and legal firms handling the sort of information that can make for particularly effective extortion fodder, although Google says the attackers have previously gone after organizations across manufacturing, healthcare, insurance, technology, and hospitality too. There's no confirmation that UNC6671 was behind the successful Levi's intrusion, nor has the denim dealer said exactly what was stolen or whether anyone tried to extort it. For now, Levi's appears to have contained the breach before its attackers could get any deeper into its pockets. ยฎ

Stealthium Targets Security Blind Spots in AI Accelerators and Neo-Clouds

10 August 2026 at 10:19

The startup analyzes subtle telemetry signals to detect attacks that traditional security tools cannot see inside accelerator-powered AI infrastructure.

The post Stealthium Targets Security Blind Spots in AI Accelerators and Neo-Clouds appeared first on SecurityWeek.

Yesterday โ€” 10 August 2026Security/Privacy

Ransomware gangs skip the CEO, head straight for the 40-something IT manager

9 August 2026 at 05:33
Turns out the fastest way to get a company to consider paying a ransom isn't calling the CEO โ€“ it's targeting the 46-year-old IT manager. That's according to Zscaler, whose ThreatLabz researchers tracked 351 victims across 334 organizations caught up in a single ransomware campaign over the course of a month. The data suggests today's ransomware crews have become oddly specific about their preferred victim profile: nearly two-thirds of victims held manager-level titles or above, the average victim was a 46-year-old Gen Xer, and three-quarters worked in accounting and finance, sales, operations, HR, or marketing. Half worked in the industrial or IT sectors. Rather than blasting the same extortion email across an organization, attackers are doing their homework first. Zscaler says they combine information from compromised systems with publicly available data to map reporting lines and identify the employees most likely to influence a company's response. "The ransomware landscape has shifted from indiscriminate attacks to highly targeted extortion campaigns," the security outfit wrote. "Rather than targeting executives directly, attackers are increasingly focusing on managers and other key personnel with the authority or influence to accelerate payment decisions." That shift reflects what Zscaler calls "business privilege" rather than technical privilege. Security teams have traditionally focused on privileged users with administrator rights. Attackers, meanwhile, are after employees whose day jobs give them access to invoices, payment approvals, budgets, supplier contracts, customer accounts, HR records, or other sensitive business processes. "The value of a compromised managerial account lies in the breadth of business access associated with the position," the researchers wrote. "Managers may approve payments, oversee budgets and vendors, review contracts, access sensitive records, or coordinate work across business units." The Gen X skew is probably no coincidence either. Zscaler says many workers in their forties and fifties have reached established management positions, giving attackers access to valuable systems, sensitive information, and people with decision-making authority without needing to compromise the executive suite. It also found more than a dozen organizations said multiple employees were compromised during the campaign, suggesting attackers weren't content with a single foothold once inside a network. Instead, they appeared to work their way through different business functions to increase the chances of reaching valuable data and the people capable of influencing a ransom payment. The wider report points to a ransomware ecosystem that is becoming increasingly focused on extortion rather than encryption alone. Zscaler said ransomware attempts blocked across its cloud platform increased 146 percent over the past year, while public extortion cases rose 70 percent and the volume of data stolen from victims climbed 92 percent. By the time the ransom note lands, the crooks may already know who approves invoices, who signs contracts, who runs HR, and who reports to whom. The encryption is just the bit that victims notice. ยฎ

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