Criminals are using artificial intelligence to clone people’s voices and set up unauthorised direct debits over the phone, National Trading Standards (NTS) has warned.

Fraudsters begin the process by asking victims to participate in a “lifestyle survey” phone call, which is designed to gather personal, health and financial details.

The criminals then use this to create AI-generated voice clones to simulate consent for direct debits, and these recordings are used as “proof” that the victim gave permission for the direct debit to be set up.

31,808 views Feb 5, 2026 #sponsored

2,692,643 views Aug 20, 2025Itzhak Bentov was an inventor and author who explored the nature of consciousness and reality. His ideas later appeared in declassified CIA documents about the Gateway Process.

✅SELF-HYPNOSIS AUDIO PROGRAMS: Reprogram Your Subconscious Mind

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SANTA CLARA, California (Reuters) – Super Bowl LX at Levi’s Stadium has brought a phalanx of law enforcement of every stripe to the San Francisco Bay Area, including a fleet of unfamiliar, low-flying aircraft buzzing around the region to help with security.

The unusually large presence of military-style hardware is a part of the region-wide effort to provide security for the more than one million people, including celebrities and other dignitaries, expected to attend the Super Bowl or the glitzy parties ahead of Sunday’s game.

The uncommon aircraft being deployed include a helicopter flown by the Energy Department’s Nuclear Emergency Support Team equipped with radiological detection equipment, which was spotted by Reuters making flights at roughly 100 feet over some San Francisco neighborhoods.

Super Bowl: Who are fans rooting for?

In addition to the nuclear detection, the Department of Homeland Security plans to fly transport and surveillance helicopters to provide tactical team support and eyes in the sky as needed.

From an undisclosed Bay Area airfield – Reuters was asked not to publish the location due to security concerns – the Air and Marine Operations unit plans to field Airbus AS350 surveillance helicopters in the days ahead of and during NFL’s championship game.

The smooth-flying Airbus helicopters carry infrared detection equipment and video surveillance. On a practice flight with the two-person air crew, it was possible for Reuters to determine what brand of shoes a worker inside the Super Bowl stadium was wearing as the chopper circled more than 250 feet in the air.

620,980 views Jan 14, 2026 #HavanaSyndrome #Pentagon #NewsThe Defense Department has spent more than a year testing a device purchased in an undercover operation that some investigators think could be the cause of a series of mysterious ailments impacting US spies, diplomats and troops that are colloquially known as Havana Syndrome, according to four sources briefed on the matter.

0:00 CNN senior national security reporter on Havana Syndrome-linked device that was acquired by the Pentagon

3:18 Reporter reacts to the device being studied by the Pentagon

5:49 Marco Rubio’s push to get the Biden administration to investigate Havana Syndrome

7:17 Former CIA officer reacts to the news

#HavanaSyndrome #Pentagon #News

Walking past a café with an active WiFi network could be enough for you to be identified, even if you are not carrying a cell phone. Researchers at the Karlsruhe Institute of Technology (KIT) have shown that people can be recognized solely by recording WiFi communication in their surroundings, a capability they warn poses a serious threat to personal privacy.

The method does not require individuals to carry any electronic devices, nor does it rely on specialized hardware. Instead, it makes use of ordinary WiFi devices already communicating with each other nearby. As radio waves move through a space and interact with people, they create distinctive patterns that can be captured and analyzed. These patterns are comparable to images produced by cameras, but they are formed using radio signals rather than light. The research team argues that this emerging capability highlights the urgent need for stronger privacy protections.

“By observing the propagation of radio waves, we can create an image of the surroundings and of persons who are present,” says Professor Thorsten Strufe from KASTEL (KIT’s Institute of Information Security and Dependability). “This works similar to a normal camera, the difference being that in our case, radio waves instead of light waves are used for the recognition,” explains the cybersecurity expert. “Thus, it does not matter whether you carry a WiFi device on you or not.”

Turning off your own device offers no protection, he adds, because “it’s sufficient that other WiFi devices in your surroundings are active.”

WiFi Routers as “Quiet Observers”

“This technology turns every router into a potential means for surveillance,” warns Julian Todt from KASTEL. “If you regularly pass by a café that operates a WiFi network, you could be identified there without noticing it and be recognized later, for example by public authorities or companies.”

Felix Morsbach notes that intelligence agencies or cybercriminals currently have simpler ways to monitor people, such as accessing CCTV systems or video doorbells. “However, the omnipresent wireless networks might become a nearly comprehensive surveillance infrastructure with one concerning property: they are invisible and raise no suspicion.”

WiFi networks are now found in most homes, offices, restaurants, and public spaces.

No Special Hardware Require

Unlike attacks that rely on LIDAR sensors or earlier WiFi-based techniques that use channel state information (CSI), meaning measurements of how radio signals change when they reflect off walls, furniture, or people, this approach does not require specialized equipment. Instead, it can be carried out using a standard WiFi device.

The method takes advantage of normal network communication between connected devices and the router. These devices regularly send feedback signals within the network, known as beamforming feedback information (BFI), which are transmitted without encryption and can be read by anyone within range.

By collecting this data, images of people can be generated from multiple perspectives, allowing individuals to be identified. Once the machine learning model has been trained, the identification process takes only a few seconds.

Almost 100% Accuracy – Technology Entails Risks to Privacy

In a study with 197 participants, the team could infer the identity of persons with almost 100% accuracy – independently of the perspective or their gait.

“The technology is powerful, but at the same time entails risks to our fundamental rights, especially to privacy,” emphasizes Strufe.

The researchers warn that this is particularly critical in authoritarian states where the technology might be used for the observation of protesters. Therefore, they urgently call for protective measures and privacy safeguards in the forthcoming IEEE 802.11bf WiFi standard.

Reference: “BFId: Identity Inference Attacks Utilizing Beamforming Feedback Information” by Julian Todt, Felix Morsbach and Thorsten Strufe, 22 November 2025, CCS ’25: Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security.
DOI: 10.1145/3719027.3765062

The project was funded under the Helmholtz “Engineering Secure Systems” topic.

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772,277 views Sep 30, 2024The REAL story of Havana Syndrome

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They will not show up at rallies or cast ballots, but they can still move a democracy. Researchers are increasingly worried about AI-controlled personas that look and sound like ordinary users, then quietly steer what people see, share, and believe online.

A policy forum paper in Science describes how swarms of these personas could slip into real communities, build credibility over time, and nudge political conversations in targeted directions at machine speed. The main shift from earlier botnets is teamwork. Instead of posting the same spam in bulk, the accounts can coordinate continuously, learn from what gets traction, and keep the same storyline intact across thousands of profiles, even as individual accounts come and go.

Inside the Mechanics of AI Persona Networks

Newer large language models paired with multi-agent systems make it possible for one operator to run a whole cast of AI “voices” that appear local and authentic. Each persona can speak in a slightly different style, reference community norms, and respond quickly to pushback, which makes the activity harder to spot as manipulation.

The swarm can also run massive numbers of quick message tests, then amplify the versions that change minds most effectively. Done well, it can manufacture the feeling that “everyone is saying this,” even when that consensus is carefully engineered.

Early Warning Signs: Deepfakes and Synthetic News

Even though large-scale AI persona swarms have not yet been fully realized, experts say there are already signs of what may be coming. UBC computer scientist Dr. Kevin Leyton-Brown points to AI-generated deepfake videos and fabricated news outlets that have influenced recent election-related debates in the U.S., Taiwan, Indonesia, and India.

In addition, monitoring organizations report that pro-Kremlin networks are actively flooding the internet with content designed to pollute future AI training data, raising concerns about how these systems could be shaped over time.

What Comes Next for Elections and Trust

AI swarms could tilt the balance of power in democracies, said Dr. Leyton-Brown. “We shouldn’t imagine that society will remain unchanged as these systems emerge. A likely result is decreased trust of unknown voices on social media, which could empower celebrities and make it harder for grassroots messages to break through.”

Researchers add that upcoming elections may serve as the first real test of this technology, raising the urgent question of whether such coordinated influence campaigns will be detected in time.

Reference: “How malicious AI swarms can threaten democracy” by Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli, Nick Bostrom, Nicholas A. Christakis, David Garcia, Amit Goldenberg, Yara Kyrychenko, Kevin Leyton-Brown, Nina Lutz, Gary Marcus, Filippo Menczer, Gordon Pennycook, David G. Rand, Maria Ressa, Frank Schweitzer, Dawn Song, Christopher Summerfield, Audrey Tang, Jay J. Van Bavel, Sander van der Linden and Jonas R. Kunst, 22 January 2026, Science.
DOI: 10.1126/science.adz1697

12,318 views Feb 5, 2026 #60MinsRoberto Laudisio-Curti died in 2012 after being Tasered 14 times by police officers. He had stolen biscuits during an LSD-psychosis, which led to a police chase. His last moments were spent writhing in pain on Pitt Street as multiple probes of up to 50,000 volts shocked his body.

Brute Force (2012)

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