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Fact Sheet: President Donald J. Trump Secures the Nation Against Advanced Cryptographic Attacks DRIVING INNOVATION WHILE DEFENDING DATA: Today, President Donald J. Trump signed an Executive Order to safeguard America’s most sensitive data, our critical infrastructure, and the digital economy that drives jobs and growth. - The Order directs the Office of Management and Budget (OMB) and the National Cyber Director to lead an accelerated, nationwide migration to post-quantum cryptography (PQC), ensuring our Nation and our data stay secure as quantum technology evolves. - The Order directs the Department of Commerce, the National Security Agency, and the Department of Homeland Security to deliver clear, practical guidance to agencies on effectuating and accelerating PQC migration. It also directs agencies to designate a PQC migration lead and to transition high value assets for certain uses to PQC by 2030 and 2031 depending on the use case. - The Order directs the Department of Commerce to initiate a pilot project for PQC migration, to be completed by December 31, 2027. - The Order directs the State Department and other Federal agencies to assist and encourage critical infrastructure operators, foreign governments, and foreign industry groups in their transitions to PQC, reinforcing U.S. leadership on the world stage. - The Order directs OMB, the Department of War, the National Aeronautics and Space Administration, and the General Services Administration to coordinate efforts to identify cost-saving opportunities in the national PQC migration strategy. - The Order directs the Federal Acquisition Regulatory Council to require covered contractors to meet certain Federal cybersecurity standards and vulnerability disclosure policies by the end of 2030. PUTTING AMERICA FIRST IN CYBERSECURITY: President Trump is promoting a key technology that will protect American systems in the quantum era, ensuring defense and resilience against potential disruptions to critical systems or data breaches. - This
AP Photo/Julia Demaree Nikhinson A new House task force is taking aim at everything from free speech to federal programs Congress Read more Amelia Brust/Federal News Network First Look Policymakers struggle to factor cybersecurity into federal funding programs Cybersecurity Read more
Executive Order 14409 By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered: Section 1. Background and Policy. The advent of large-scale quantum computers, particularly in the hands of adversaries, will pose a significant threat to widely used cryptographic security systems. Ongoing cyber activity against our Nation also presents the risk of adversaries collecting United States information now, and decrypting it later once large-scale quantum computers are operational. In light of these threats, the United States must take steps to strengthen cryptographic protections for the Nation’s sensitive data, critical infrastructure, and digital economy. It is the policy of the United States to safeguard national security and maintain technological leadership by responsibly and effectively executing the transition of Federal information systems to National Institute of Standards and Technology (NIST)-approved Federal Information Processing Standards (FIPS) for Post-Quantum Cryptography (PQC), and to assist critical infrastructure owners and operators with their transitions. Sec. 2. Definitions. For purposes of this order: (a) the term “agency” has the same meaning as it has in 44 U.S.C. 3502(1); (b) the term “critical infrastructure” has the same meaning as it has in section 1016(e) of the USA Patriot Act of 2001 (42 U.S.C. 5195c(e)); (c) the term “high impact system” means an information system in which at least one security objective (i.e., confidentiality, integrity, or availability) is assigned a FIPS 199 potential impact value of “high”; (d) the term “high value asset” or “HVA” means Federal information or a Federal information system designated as a high value asset under Office of Management and Budget (OMB) Memorandum M-19-03, “Strengthening the Cybersecurity of Federal Agencies by Enhancing the High Value Asset Program,” or any successor document; (e) the term “information systems” has the same meaning as
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Texas Cyber Command is reporting a data breach involving the personal information of more than 3 million people who obtained hunting and fishing licenses from the state. The breach, involving a vendor for the Texas Parks and Wildlife Department (TPWD), occurred last Thursday. According to TPWD, Texas Cyber Command's investigation showed an unauthorized actor may have obtained driver's license information, passport numbers, email addresses, phone numbers and residential addresses from more than 3 million Texas hunting and fishing license customers. The department said Social Security numbers, financial information and birthdates were not compromised. The parks and wildlife department said it recognizes the “seriousness of this issue,” adding that “many” of its staff are anglers and hunters who were affected by the breach. "TPWD is working closely with the license system vendor to implement new safeguards and enhanced monitoring services," the department said in its official notification about the incident. "Immediate steps were taken to strengthen access controls for customer profile data, and additional security features will be added in the future." Texas Cyber Command did not immediately respond to a request for comment. The parks and wildlife department said affected customers are eligible to receive one year of free credit monitoring through Kroll. Customers can confirm their eligibility by contacting a dedicated call center at 844- 959-7123. The enrollment deadline for free credit monitoring is Sept. 14.
Chinese AI models raise cybersecurity concerns, new report warns WASHINGTON (TNND) — Chinese artificial intelligence models are rapidly gaining popularity in the United States, driven in part by lower costs and growing capabilities. But a new report from defense contractor Booz Allen Hamilton is raising questions about whether those savings could come with cybersecurity risks. Researchers at the company examined four widely used Chinese AI models to evaluate how they performed when tasked with writing computer code. Their findings suggest some models generated significantly more security vulnerabilities under specific conditions, particularly when prompted to believe they were working for U.S. government users. “Can code developed by these AI models be trusted?” posed Brad Medairy, president of Booz Allen’s national cyber business. According to the study, the vulnerabilities were not traditional malware or obvious malicious code. Instead, researchers said some models appeared to alter their behavior based on the identity of the user, producing software with weaknesses that could potentially be exploited by nefarious actors. “What we're talking about here in vulnerabilities, this is a new class of threat,” said Eric Syphard, a senior vice president at Booz Allen. Researchers compared the phenomenon to a “sleeper agent” — a system that appears to function normally until certain conditions trigger a different response. Unlike conventional cyberattacks that rely on hackers breaking into networks or exploiting software flaws, the concern is that organizations could unknowingly introduce vulnerabilities simply by relying on AI-generated code. “This is a category of threat that we as a country need to figure out how to quantify and measure, how to apply guardrails that don't dampen innovation but also keep these systems secure,” Syphard said. Supporters of the report argue the findings highlight the risks of depending on foreign-developed AI tools for sensitive government, military and critical infrastructure applications.
Detailed quarterly estimates for the worldwide cybersecurity market by country, vendor, security market segment, product category, channel, and target customer size, for end-user value. Email Article All set! This article has been sent to my@email.address. All fields are required. For multiple recipients, separate email addresses with a semicolon. Please Note: Only individuals with an active subscription will be able to access the full article. All other readers will be directed to the abstract and would need to subscribe. These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing. Omdia Recommends These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing. Worldwide Cybersecurity Short-Term Forecasts By Quarter – 1Q26 Data / 11 May 2026 / Matthew Ball The latest top-level short-term forecasts for the worldwide cybersecurity market by quarter, market, and technology. The Analyst Team Matthew Ball Follow AnalystChief Analyst Matthew Ball leads the Cybersecurity Ecosystems and Global IT Opportunity research services at Canalys, now part of Omdia. He delivers strategic insights into the evolving cybersecurity partner landscape, analyzing vendor engagement with MSPs, MSSPs, GSIs, and the transformation of routes to market, including marketplaces. His research spans platform adoption, M&A activity, emerging vendor funding, and the intersection of AI and cybersecurity. As the lead of the global IT opportunity service, Matthew helps clients quantify addressable market potential, track IT spending trends, and assess macro risks that affect growth and execution. He also leads confidential consultancy projects, contributes to global surveys, and provides tailored guidance to clients worldwide. A regular speaker at Canalys channels forums, trade shows, and partner summits, Matthew is recognized for
Sabrina Hassan Moon’s research rethinks how artificial intelligence works on the devices people use every day, from health monitors to smart sensors, with a goal of making them faster, more reliable, and more energy efficient. Moon, who is a doctoral student at USF’s Bellini College of Artificial Intelligence, Cybersecurity and Computing, was awarded a $12,000 Dissertation Completion Fellowship to support the final stage of her work. The one-semester award includes a stipend along with a tuition waiver for up to nine credit hours, payment of student fees and coverage of health insurance premiums, allowing her to focus fully on completing her dissertation. “The fellowship gives me the opportunity to step away from my research and teaching assistant responsibilities for a semester and focus fully on completing my dissertation,” Sabrina said. “That dedicated time and support will be extremely valuable during the final stage of my doctoral work.” Moon earned a bachelor’s degree in electrical and electronics engineering in Bangladesh before coming to USF in 2022. Her advisor, Dr. Dayane Reis, is an assistant professor in the Bellini College. Sabrina’s research examines how AI applications can run efficiently on small, low-power devices known as edge devices, which can include fitness tracking devices, doorbells, speakers, thermostats, traffic monitoring systems, delivery drones, wearable heart monitors, smartphones and other portable medical devices. These are systems that process information in real time while operating under strict energy limits and imperfect conditions, challenges that traditional computing approaches struggle to address. To address these challenges, Moon focuses on a method called computing-in-memory, which allows devices to process data directly where it is stored instead of moving it back and forth between memory and processors. This shift can reduce energy consumption and improve speed, making it well suited for devices that must run and respond in real time.
Cybersecurity researchers have disclosed details of a new campaign that delivers CastleStealer by means of a previously unreported malware loader dubbed OXLOADER. According to Elastic Security Labs, the campaign leverages malicious Google Ads as a starting point to distribute the malware. Evidence indicates that the threat actor is likely Russian-speaking and financially motivated, owing to the presence of explicit exclusions to prevent infecting machines located in the Commonwealth of Independent States (CIS) region. The campaign has been codenamed REF8372. "The loader uses several obfuscation layers (control-flow flattening, opaque predicates, mixed Boolean-Arithmetic), self-modifying decryption stubs, and abuses the Windows .reloc section to stage shellcode," researchers Daniel Stepanic and Jia Yu Chan said in a technical breakdown. The attack begins when unsuspecting users enter queries such as "lts version of node.js" on search engines like Google, redirecting them to a fake website ("node-js[.]prentiva99[.]info") surfaced via bogus ads published under the verified name "ВОЛОДИМИР ТЕРЕЩЕНКО" that's purportedly based in Ukraine. It's currently unknown if the advertiser account is linked to the actual threat actor, or if it's a front account or a purchased identity. The advertiser account, along with its ad campaigns, was removed from Google on May 14, 2026. Users who end up interacting with the site are served a batch script hosted on Storj, a decentralized, open-source cloud storage platform. The abuse of Storj once again illustrates how threat actors continue to leverage legitimate services to evade domain-based reputation filters. Running the batch script displays a bogus installation wizard user interface (UI), while stealthily downloading a next-stage payload, a Storj-hosted executable dubbed OXLOADER through a PowerShell command and executing it with -Verb RunAs to trigger a Windows User Account Control (UAC) prompt. The attack then employs DLL side-loading to launch a rogue DLL, which then proceeds to decrypt and execute the
The U.S. Is Losing the AI Credibility War—to Itself Recent restrictions on advanced AI models are undermining critical U.S. cybersecurity outcomes. The administration needs a coherent strategy to work with the private sector, stay ahead of adversaries, keep allies on board, and maintain trust in the U.S. AI stack. By experts and staff - Published - Matthew FerrenCFR ExpertInternational Affairs Fellow in National Security, sponsored by Janine and J. Tomilson Hill Matthew Ferren previously served in the Department of Defense where he developed strategies, policies, and plans for employing military cyberspace operations to advance U.S. national security interests and counter major cyber threats. On June 11, Anthropic apologized after it emerged that its newest AI model, Fable 5, had been silently limiting responses to users suspected of attempting to replicate its technology. The model had also been criticized for refusing to respond to any cyber-related queries, redirecting users to less capable models instead. Two days later, President Donald Trump’s administration barred foreign nationals from accessing Anthropic’s two newest frontier models, Fable 5 and Mythos 5, citing national security concerns. Unable to screen users by nationality, Anthropic announced it had disabled both models worldwide. The episode underscored how much both administration officials and frontier model developers now recognize the serious cybersecurity risks posed by advanced AI. For Anthropic’s founders, AI safety and security have long been central to their mission. For the White House, Mythos’s emergence earlier this year produced a remarkable about-face, forcing the administration to shift from an aggressive deregulatory agenda to one that is more risk-conscious. Although this shared focus on AI and cybersecurity is a positive development, over-indexing on risk and failing to align on a clear way forward could cause the United States to miss out on a generational opportunity to improve national cyber defenses. Using
KUALA LUMPUR: The National Security Council (MKN) has clarified that claims of a personal data leak circulating on social media refer to information believed to have originated from cybersecurity incidents reported before 2022 and are not linked to any current platform. The council through the National Cyber Security Agency (Nacsa), said the information was believed to have been unlawfully obtained through cyber intrusions targeting various systems prior to 2022 and is now being redistributed through online platforms without authorisation. "Nacsa emphasises that providing, disseminating or granting access to information obtained unlawfully constitutes an offence under Malaysian law, even if the service is hosted outside the country,” the council said in a statement. Nacsa, together with MyNIC and the Personal Data Protection Department, has taken immediate action, including engaging foreign service providers to remove and block access to the websites concerned, it added. At the same time, Nacsa is working closely with the Royal Malaysia Police to conduct digital forensic investigations aimed at identifying those involved and bringing them to justice. The council also advised Malaysians not to use or obtain services that offer access to unlawfully acquired information, as doing so contributes to the spread of cybercrime and violates Malaysian law. "This incident further underscores the urgent need to strengthen national legislation. The Cyber Crime Bill, which will be tabled in Parliament, introduces more comprehensive provisions and stricter penalties for various forms of cybercrime, including system intrusions and data theft,” MKN said. The proposed provisions in the bill include the criminalisation of unauthorised access to, or damage of, computer systems and programmes without lawful authority or legitimate purpose, and defining identity theft involving the unauthorised use of another person's identity with the intent to commit a crime as an offence. The council explained that the Cyber Security Act 2024, which
Agent Beacon: Open-source telemetry layer for AI agents AI coding agents such as Claude Code, Codex CLI, Cursor, and Claude Cowork run on developer laptops, CI jobs, cloud environments, where they edit files, run commands, and call outside tools. Beacon, an open-source project from Asymptote Labs, configures telemetry for those runtimes and writes a normalized record of what each agent does across local, CI, and cloud-agent surfaces. What Beacon collects Beacon discovers supported local runtimes on a host and configures data collection for them, while also supporting additional CI and cloud-agent telemetry paths. It configures supported runtimes such as Claude Code and Codex CLI to export OpenTelemetry data to a collector running on localhost. For Cursor, it installs hooks that emit local endpoint events covering sessions, prompt submission, tool use, command execution, MCP-like tool activity, approval decisions, and file edits where Cursor exposes those payloads. A bundled collector converts the OpenTelemetry logs and hook events into a normalized JSON event log, and a local dashboard reads that log for inspection. Teams can also forward the data into supported customer-managed SIEMs. The software runs locally and works without an Asymptote account. It records full telemetry by default, with configurable retention modes for leaving out prompt text, raw attributes, command output, and raw diffs. Two added retention modes exist: a redacted mode that includes configured content fields after local redaction and size limits, and a third mode that keeps configured content fields in local or customer-controlled logs, subject to event size limits. The dashboard binds to loopback and reads the runtime log. Written mostly in Go and released under the MIT license, Beacon installs on macOS through a Homebrew tap. Claude Cowork support requires OpenTelemetry export configured by a Team or Enterprise admin in the Claude admin console, with an OTLP endpoint
Agentic Artificial Intelligence (AI) represents a new generation of intelligent systems capable of making decisions, taking actions, and interacting with digital environments with minimal human intervention. These systems rely heavily on training data to learn patterns, behaviors, and decision-making processes. While the capabilities of Agentic AI are expanding rapidly, the quality of the data used during training remains a critical factor in ensuring security and reliability. Poor-quality data can significantly increase cyber risks and create vulnerabilities that malicious actors may exploit. Training data serves as the foundation of any AI model. When the data is inaccurate, incomplete, outdated, biased, or intentionally manipulated, the resulting AI system may learn incorrect behaviors. In Agentic AI, where systems are designed to act autonomously, these mistakes can have serious cybersecurity implications. Unlike traditional software that follows predefined instructions, Agentic AI makes decisions based on learned patterns. Therefore, flawed data can directly influence its actions and responses. One major cyber threat associated with poor data is data poisoning. In a data poisoning attack, adversaries deliberately inject malicious or misleading information into training datasets. If this corrupted data is not detected, the AI model may learn harmful behaviors or make incorrect decisions. For example, an Agentic AI system responsible for network security could be trained to ignore certain malicious activities because poisoned data falsely labels them as safe. This weakens the organization’s security posture and creates opportunities for cyberattacks. Poor data quality can also increase the likelihood of model manipulation. When training datasets contain inconsistencies or inaccurate labels, AI agents may misinterpret user inputs or system events. Cybercriminals can exploit these weaknesses through adversarial attacks, crafting inputs designed to confuse the AI and trigger unintended actions. Such vulnerabilities may allow attackers to bypass security controls, gain unauthorized access, or disrupt critical operations. Another significant concern is
A growing number of Americans are becoming increasingly concerned about the privacy and security of their mobile data, according to recent research conducted by the Harris Poll on behalf of Cape, a privacy-focused mobile carrier in the United States. The study found that nearly 65 percent of Americans would consider switching their mobile service provider if it meant gaining stronger protections for their personal information and digital privacy. The survey, which was conducted in October 2025, analyzed responses from approximately 500 participants across the United States. The findings reveal a significant gap between consumers’ concerns about privacy and their understanding of how mobile carriers collect, use, and share their personal data. One of the key discoveries of the study is that many Americans remain unaware of the extent to which their data and location information can be sold or shared with third-party marketing companies. More than half of respondents, representing 56 percent of those surveyed, admitted that they do not know how to disable location tracking on their devices. This lack of awareness highlights the challenges consumers face in maintaining control over their personal information in an increasingly connected world. The survey also uncovered widespread misconceptions about mobile communications. Despite growing concerns over cybersecurity, 81 percent of respondents believe that phone calls, text messages, and emails often contain sensitive personal information that could be exposed if not properly protected. These concerns reflect the growing importance of secure communication channels as cyber threats continue to evolve. Another notable finding involves SIM swap attacks, a form of fraud in which criminals transfer a victim’s phone number to another device to gain access to accounts and sensitive information. Despite the increasing prevalence of such attacks, only 41 percent of respondents were aware that their phone number could be transferred to another device without
🎉 Happy Father’s Day I want this nDadcount was not defined. When the Dads are scrutinizing rhe other dads... On Fathers day... Dads get no breaks... Halt Task && Restart Process|Service Dad.service Start -P (Persistent) Now in Python for the younger dads 😁 Why do you need an array for THE est Dad if it's only one!!! When Graphics designer use AI to write code and tries to make it short for mug’s area. That code would not compile. Undefined variables. # dad.py n_dad_count = len(dad_array) for i in range(n_dad_count): if i == n_my_dad: dad_array[i] = BEST_DAD else: dad_array[i] = REGULAR_DAD
The Philippines’ Department of Information and Communications Technology (DICT) and Google Cloud have expanded their collaboration to cover artificial intelligence tools for public servants, cybersecurity operations, and connectivity initiatives supporting digital government services. Under the multi-year arrangement, DICT said it plans to make Google’s Gemini Enterprise and Google Workspace available to more public-sector employees, develop AI-enabled citizen services, and extend a cyber defense program across government agencies. The partnership builds on Google Cloud’s growing engagement with Philippine public institutions. In 2025, Google Cloud said it had worked with agencies including the Department of Education, Department of Health, and Department of Environment and Natural Resources, as TNGlobal previously reported. It also follows the March 2026 rollout of Google software and licenses on the Procurement Service-Department of Budget and Management’s eMarketplace platform, where government agencies can procure products including Google Workspace, Gemini Enterprise, and Google Security Operations. AI tools for public servants DICT said it will begin by equipping more than 50,000 public servants with the Gemini Enterprise app, which can be used to search, summarize, and work with information across authorized government data sources and workplace applications. The agency said it plans to facilitate the use of Gemini Enterprise and Google Workspace among more than 200,000 public servants over the next 18 months. It said it will track usage, productivity, cost savings, and user satisfaction as part of the implementation. The proposed applications include internal work such as reviewing pending permit applications, preparing research briefs, and analyzing market data. DICT also said it plans to develop AI agents for e-government platforms that could help citizens obtain guidance on processes such as business registration, health center schedules, and disaster assistance. According to the agencies, these services could eventually support text and voice interactions in local languages. The release did not specify which
Accenture to spend $6bn growing its OT security business Accenture has arranged to complete three acquisitions as part of its efforts to create an end-to-end cybersecurity platform for critical infrastructure and industrial environments. Accenture will acquire a majority stake in operational technology (OT) cybersecurity specialist Dragos, and to outright purchase asset intelligence company runZero and software supply chain security company NetRise for a combined US$4.175 billion ($5.97 billion). Following the acquisitions, the Dragos platform will expand to cover the extended environment that controls physical processes. The vendor-neutral threat detection platform will also be further enhanced by capabilities from runZero and NetRise. The combined platform will combine software supply chain dataset and firmware-level visibility into device exposure from NetRise and exposure assessment and attack surface intelligence from runZero. Accenture CEO Julie Sweet said with the acquisitions, Accenture aims to address the need for business and government leaders to invest in OT cybersecurity to address the expanded threat environment created through the integration of AI into OT environments. “In an age when AI-driven cyber threats and geopolitical risk are evolving at a rapid pace, our cybersecurity practice is growing by double-digits and has a strong track record of leveraging inorganic opportunity to fuel organic growth,” she said. “Our clients across industries and regions are asking us how to be more proactive and integrated in their approach to cybersecurity. The addition of Dragos, complemented by runZero and NetRise, fills this important need. “We are confident Dragos’ differentiated OT platform will accelerate our growth in the critical infrastructure and industrial operations markets, driving long-term shareholder value through scaled adoption of advanced cybersecurity capabilities.” Post-acquisition, runZero and NetRise will operate under Dragos, which will continue to be led by co-founder and CEO Robert M Lee as an independent business. Accenture has grown its cybersecurity business
MANILA, Philippines, June 22, 2026 – The Department of Information and Communications Technology (DICT) and Google Cloud today announced an expanded, multi-year collaboration to embed enterprise AI into public service delivery in the Philippines. This collaboration focuses on making government services simpler, faster, and more secure for every Filipino. Reflecting the strategic goals of DICT’s digital transformation roadmap, this collaboration advances the government’s Philippine Development Plan 2023–2028. By spearheading an “AI Agents for Public Sector” program and a cross-agency cyber defense alliance with Google Cloud alongside national connectivity developments, DICT is facilitating the Philippines’ transition into an AI-driven digital economy that is highly productive, cyber resilient, and inclusive. Henry Rhoel Aguda, Secretary of the Department of Information and Communications Technology, said: “Transformation is not defined by the adoption of sophisticated software tools alone, but by facilitating sustained systemic efficiency across public institutions and widespread access to e-government services. DICT is accelerating ‘Digital Bayanihan’ with partners like Google Cloud, where AI-driven systems, proactive cyber defense, and network infrastructure operate in tandem to provide every citizen with access to public services and high-speed connectivity within a secure online environment. We’re empowering our public servants with world-class AI tools and upskilling programs to help them remove bureaucratic friction, optimize public sector productivity, and deliver seamless, next-generation services that better serve and uplift our people in every community.” Delivering frictionless citizen services while supercharging public sector productivity Under their “AI Agents for Public Sector” program, DICT and Google Cloud have made Gemini Enterprise and Google Workspace available to public servants through the Procurement Service-Department of Budget and Management’s (PS-DBM) eMarketplace platform. Built on Google Cloud’s scalable and secure-by-design infrastructure, the eMarketplace was launched in the first quarter of 2026, serving as the Philippine government’s official e-commerce platform for transparent, streamlined, and cost-efficient procurement of
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