Headlines
Artificial intelligence is becoming a more useful instrument for identifying criminal activity and stopping illegal activity.To ensure safety, facial recognition technology has been widely used by law enforcement agencies across the world.AI technology helps with facial recognition optimization, video footage analysis, crowd monitoring, and surveillance.
Artificial intelligence (AI) is used in cybersecurity to automate labor-intensive, highly repetitive processes and analyze huge amounts of data, identify patterns, and come to well-informed conclusions at speeds and scales that are much faster than those of humans.
Cybercrime is increasing, and attacks are getting more complex and costly.By 2025, businesses could lose up to $10.5 trillion due to cybercrime.
Deepfake technology has advanced so fast that it is becoming increasingly challenging to distinguish between real content and media created by artificial intelligence.
A cyberattack that comes from a person who works for an organization or has access to access its networks or systems is known as an insider threat.
AI in cybersecurity helps security experts spot suspect network activity, odd login attempts, and strange traffic from IoT devices or endpoints in real-time. It also strengthens cyber threat intelligence to detect minor irregularities that may indicate early phases of an attack.
A type of artificial intelligence (AI) called “deepfake” can be used to produce realistic fake sounds, images, and videos.According to Merriam-Webstar, an image or recording that has been convincingly altered and manipulated to misrepresent someone as doing or saying something that was not actually done or said.
In 2026, cybersecurity appears to be highly challenging due to the rapid expansion of the digital environment.Businesses must safeguard AI-powered workloads, cloud platforms.
Cyberattacks are growing more sophisticated, rapid and damaging than before.Generative AI is used by cybercriminals to generate highly convincing phishing emails.
According to experts, supply chain vulnerabilities, deepfake technology, AI, and quantum risk will all come together in 2026 to change the cyber landscape.