Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.
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Background for this topic.
Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.
AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.
In yet another software supply chain attack, it has come to light that two versions of a popular Python artificial intelligence (AI) library named ultralytics were compromised to deliver a cryptocurrency miner
Cybersecurity researchers have warned of a new scam campaign that leverages fake video conferencing apps to deliver an information stealer called Realst targeting people working in Web3 under the guise of fake business meetings
The activity-recording capability has drawn concerns from the security community and privacy experts, but the tech giant is being measured in its gradual rollout, which is still in preview mode.
David Sacks Appointed as Trump's AI and Crypto Czar Amid Growing Industry ConcernsPresident-elect Donald Trump's appointment of former PayPal executive David Sacks to serve as the inaugural White House czar for artificial intelligence and cryptocurrency is already raising significant concerns about potential conflicts of interest and market favoritism.
Microsoft is now testing its AI-powered Recall feature on AMD and Intel-powered Copilot+ PCs enrolled in the Windows 11 Insider program. [...]
The popular Ultralytics YOLO11 AI model was compromised in a supply chain attack to deploy cryptominers on devices running versions 8.3.41 and 8.3.42 from the Python Package Index (PyPI) [...]
FBI Sees Rising AI-Enabled Fraud; Meta Reports Scant Election Interference UseArtificial intelligence: What's it good for? Per the old song about war, the answer isn't "absolutely nothing," but so far it also isn't "absolutely everything." New findings pinpoint where generative AI and deepfakes are hot - fraud - and where they're not - election interference
Shell Casing Inscription 'Deny' Points to Potential Motive in CEO's KillingLaw enforcement investigating murder of Brian Thompson, CEO of UnitedHealthCare are examining potential motives. But shell casings reportedly found at the crime scene spotlight one of the top motives speculated - anger over the company's alleged denial of coverage practices. Where does AI fit in?
Researchers testing generative AI systems can use prompt injection, re-register after being banned, and bypass rate limits without running afoul of copyright law.
AI-powered tools are making cybersecurity tasks easier to solve, as well as easier for the team to handle.
Barracuda's Siroui Mushegian on Building Resilient Solutions Through CollaborationBarracuda's CIO Siroui Mushegian discusses how Barracuda uses AI and strong partnerships to deliver comprehensive cybersecurity solutions. The company builds products on AWS infrastructure, sells them through AWS Marketplace and uses AWS for internal systems.
AI is reshaping the fight against digital threats. Learn how attackers are using AI to supercharge malware and social engineering—and how organizations can harness it to predict, detect, and stop cyberattacks in their tracks.
Privacy Advocates Warn of Risks from Expanding DHS Use of AI and Facial RecognitionThe U.S. Department of Homeland Security is reportedly expanding its use of emerging surveillance tools, including drones and artificial intelligence, without proper safeguards as experts warn of potential privacy violations and risks involving facial recognition and third-party data usage.
Hackers can potentially use AI to manipulate data that's generated and shared by some health apps, diminishing the data's accuracy and integrity, said Sina Yazdanmehr and Lucian Ciobotaru of cybersecurity firm Aplite, describing a recent research project involving Google Health Connect.
The FBI warns that scammers are increasingly using artificial intelligence to improve the quality and effectiveness of their online fraud schemes, ranging from romance and investment scams to job hiring schemes. [...]
IntelliVision Settles With Federal Trade Commission Over Facial Recognition ClaimsFacial recognition software maker IntelliVision has reached a settlement with the U.S. Federal Trade Commission after the regulator accused the AI-powered software vendor of deceptive marketing claims, including that its tools have "zero gender or racial bias" and market-leading levels of accuracy.
Our research into Retrieval Augmented Generation (RAG) systems uncovered at least 80 unprotected servers. We highlight this problem, which can lead to potential data loss and unauthorized access.
Unleash the power of AI. Not the risks.Unlock the power of generative AI while safeguarding your sensitive data with expert insights and strategies shared in this must-watch webinar.
CEO Matt Garman Envisions New Era of Compute, Storage and Generative AI innovationAmazon Web Services hopes to redefine enterprise innovation in the cloud with a slew of announcements made during CEO Matt Garman's keynote speech at re:Invent 2024 in Las Vegas about advancements in compute, storage, databases, generative AI and analytics.
Provision Emphasizes Existing Medicare Regs for Equitable Access to Health ServicesThe Centers for Medicare and Medicaid Services has issued proposed "guardrails" to help ensure that the use of artificial intelligence for Medicare Advantage insurance plans does not result in inequitable access to healthcare-related services. The proposed rule will go into effect in 2026.