14 août 2024 | International, C4ISR, Sécurité

Black Basta-Linked Attackers Target Users with SystemBC Malware

Black Basta-linked campaign uses fake IT calls, AnyDesk, and SystemBC malware for credential theft and data exfiltration.

https://thehackernews.com/2024/08/black-basta-linked-attackers-targets.html

Sur le même sujet

  • Navy Creating Attack Sub Aggressor Unit to Train to Fight Against Russia, China

    9 novembre 2018 | International, Naval

    Navy Creating Attack Sub Aggressor Unit to Train to Fight Against Russia, China

    By: Megan Eckstein ARLINGTON, Va. — The U.S. Navy submarine force is creating an aggressor squadron as one initiative to ensure all subs are combat-ready as the service trains to take on China and Russia, the commander of Naval Submarine Forces said on Wednesday. Vice Adm. Charles Richard, who took command in August, drew attention during the change of command ceremony by telling the force to “prepare for battle.” He has backed up those words with actions in the months since, moving ahead with a plan – updated in March to reflect the National Defense Strategy – that includes refocusing training and certification on combat and developing new tools and concepts to support high-end warfighting. The plan – called the Commander's Intent for the United States Submarine Force and Supporting Organizations – led to an overhaul of training for the attack submarine force, Richard said today while addressing the Naval Submarine League at its annual conference. “We have restructured and retuned the fast attack training period to ensure that we're ready for that high-end fight, including restructuring what we used to call the Tactical Readiness Evaluation, and it is now a Combat Readiness Evaluation to ensure we're focused on warfighting,” he said. “We've updated the deployment certification process to eliminate duplication, put the right focus in the right place. I'll tell you that I am driving to put competition in everything we do inside the submarine force. I want to produce winners and losers just like we do in battle; it does you no good to be at standards if your opponent is more at standards than you are. You still lose, and in this competition, you may not come home.” The new aggressor squadron fits in with the desire to create more high-end sub-on-sub competitions and ensure the Navy is ready to win. Richard said the plan mimics what the naval aviation community has at “Top Gun.” Navy spokeswoman Cmdr. Sarah Self-Kyler told USNI News at the event that, unlike Top Gun, the squadron won't have its own submarines dedicated to training the squadron and fighting other submarines in training events. Instead, the squadron will include a yet-to-be-determined number of personnel – which Richard said would include active and reserve sailors and civilians – and that personnel would get to work with submarines and sub crews as allowed by operational and training schedules. Richard, calling the new group “a cadre that does nothing but emulate red in all of our training and certification exercises, said “we're taking a page from naval aviation and we're establishing an aggressor squadron with a team that will become experts in employing our adversaries' potential capabilities and then set them up to be able to go head-to-head with our units so that we're always training against what we think is the highest fidelity simulation I can give them in terms of what they might be able to expect when they go into combat.” The Commander's Intent plan also outlines an Undersea Rapid Capability Initiatives (URCI) program that Richard said not only delivers “stuff” but also concepts of operations, tactics, maintenance strategies and more. “I can't go into a lot of detail given the nature of the work – it is classified – but I am able to tell you that we are working on 26 major future projects, including the Navy's number-one priority of strategic deterrence; 13 URCIs; 11 operational initiatives; and a series of advanced workshops and military exercises designed to expand our capabilities in the undersea domain. We are pursuing next-generation weapons, multi-domain sensors, comms systems, navigation aids, and unmanned and autonomous technologies. In some cases, these capabilities are revolutionary and will inform future programs of record.” Full article: https://news.usni.org/2018/11/08/submarine-forces-china-russia

  • How the Pentagon can improve AI adoption

    8 juillet 2019 | International, Autre défense

    How the Pentagon can improve AI adoption

    By: Graham Gilmer The excitement of artificial intelligence today is like the space race of the 1960s, when nations were in fierce competition. Now, the United States is in first place. But continued leadership is not a given, especially as competitors, namely China and Russia, are making significant investments in AI for defense. To maintain our technological advantage, safeguard national security, and lead on the world stage, we have an imperative to invest strategically in AI. The successful and widespread adoption of AI requires the United States take a human-centric and technologically innovative approach to using AI to help maintain the peace and prosperity of our nation. As the Department of Defense and Joint Artificial Intelligence Center (JAIC) continue their efforts to accelerate AI adoption, they must address three key components of successful adoption: building trust in AI technology, operationalizing AI technologies to reach enterprise scale, and establishing ethical governance standards and procedures to reduce exposure to undue risk. Build trust in AI technology Fear and distrust hold technology adoption back. This was true during the first three industrial revolutions as mechanization, factories, and computers transformed the world, and it is the case in today's fourth industrial revolution of AI. The confusion surrounding AI has led to teams abandoning applications due to a lack of trust. To build that trust, we must prioritize training, explainability, and transparency. Trust in technology is built when leaders have accurate expectations around what it is going to deliver, mission owners can identify use cases connected to the core mission, and managers understand the true impact on mission performance. Building trust requires that all users, from executives and managers to analysts and operators, receive training on AI-enabled technologies. Training involves not only providing access to learning resources, but also creating opportunities for them to put their new skills to use. In its formal AI strategy, Pentagon leaders outlined extensive plans for implementing AI training programs across the department to build a digitally savvy workforce that will be key to maintaining the United States' leading position in the AI race. “Explainable AI” also curbs distrust by showing users how machines reach decisions. Consider computer vision. Users may wonder: How can such a tool sift through millions of images to identify a mobile missile launcher? A computer vision tool equipped with explainable AI could highlight aspects of the image that it uses in identification—in this case, elements that look like wheels, tracks, or launch tubes. Explainable AI gives users a “look under the hood,” tailored to their level of technical literacy. AI technologies must be more than understandable; they must also be transparent. This starts at the granular system level, including providing training data provenance and an audit trail showing what data, weights, and other inputs helped a machine reach its decision. Building AI systems that are explainable, transparent, and auditable will also link to governance standards and reduce risk. Operationalize AI at the enterprise scale AI will only be a successful tool if agencies can use AI at the enterprise level. At its core, this means moving AI beyond the pilot phase to real-world production across the enterprise or deployed out in the field on edge devices. Successfully operationalizing AI starts early. AI is an exciting new technology, but agencies too enamored with the hype run the risk of missing out on the real benefits. Too many organizations have developed AI pilot capabilities that work in the lab but cannot support the added noise of real-world environments. Such short-term thinking results in wasted resources. Agencies must think strategically about how the AI opportunities they choose to pursue align with their real-world mission and operations. Leaders must think through the processes and infrastructure needed to seamlessly extend AI to the enterprise at-scale. This involves building scalable infrastructure, data stores and standards, a library of reusable tools and frameworks, and security safeguards to protect against adversarial AI. It is equally important to prioritize investment in the infrastructure to organize, store, and access data, the computational needs for AI (cloud, GPU chips, etc.), as well as open, extensible software tools for ease of upgrade and maintenance. Establish governance to reduce risk Governance standards, controls, and ethical guidelines are critical to ensuring how AI systems are built, managed, and used in a manner that reduces exposure to undue risk. While our allies have engaged in conversations about how to ensure ethical AI, China and Russia have thus far shown little concern for the ethical risks associated with AI. Given this tension, it is imperative that the United States maintain its technological advantage and ethical leadership by establishing governance standards and proactive risk mitigation tactics. To this end, in May, three Senators introduced the bipartisan Artificial Intelligence Initiative Act, which includes provisions for establishing a National AI Coordination Office and national standards for testing AI algorithm effectiveness. Building auditability and validation functions into AI not only ensures trust and adoption, but also reduces risk. By establishing proactive risk management procedures and processes for continuous testing and validation for compliance purposes, organizations can ensure that their AI systems are performing at optimal levels. Governance controls and system auditability also ensure that AI systems and tools are robust against hacking and adversarial AI threats. AI could be the most transformative technological development of our lifetime—and it's a necessity for maintaining America's competitive edge. To ensure that we develop AI that users trust and can scale to the enterprise with reduced risk, organizations must take a calm, methodical approach to its development and adoption. Focus on these three areas is crucial to protecting our national security, maintaining our competitive advantage and leading on the world stage. Graham Gilmer is a principal at Booz Allen who helps manage artificial intelligence initiatives across the Department of Defense. https://www.c4isrnet.com/opinion/2019/07/08/how-the-pentagon-can-improve-ai-adoption/

  • Site selection for new $3-billion NORAD radar slips behind schedule

    6 octobre 2024 | International, C4ISR

    Site selection for new $3-billion NORAD radar slips behind schedule

    Department of National Defence officials are still hopeful the $3-billion project will remain on track.

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