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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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.
The U.K. antitrust regulator called off an investigation into the March $4 billion deal between Amazon and artificial intelligence firm Anthropic. "Amazon’s partnership with Anthropic does not qualify for investigation under the merger provisions of the Enterprise Act 2002," the regulator said.
Coalition of Leading Institutions Push for Policymakers to Develop Focused AI RulesA group of leading organizations across industries and technology giants is calling on lawmakers in the United States to develop focused regulations around artificial intelligence that limit the risks associated with emerging technologies while allowing innovation to flourish.
Paramount's Surinder Lall on AI Impersonation, Deepfakes, AI Governance FrameworksWhile AI transforms business operations, it helps cybercriminals develop sophisticated impersonation techniques such as deepfakes and voice synthesis, posing new challenges for corporate security, said Surinder Lall, senior vice president of global information security risk management at Paramount.
Featurespace's AI Expertise Will Enhance Visa's Fraud, Risk and Payments TechnologyVisa has signed a definitive agreement to acquire AI-driven fraud prevention leader Featurespace. This acquisition will reinforce Visa's fraud detection capabilities, integrating advanced machine learning technology to strengthen financial crime prevention and protect global transactions.
Troy Leach and Avani Desai on Risks of AI Hallucination and Misleading OutputsIn the latest "Proof of Concept," Troy Leach of the Cloud Security Alliance and Avani Desai of Schellman discuss the risks of AI hallucinations. As AI models advance, hallucinations pose serious threats to security, especially when quick and accurate decision-making is essential.
Also: Reimbursements in Banana Gun Hack; Germany Shutters 47 ExchangesThis week, BingX, Truflation, OpenAI X account hacked; Germany shut 47 exchanges; Caroline Ellison sentenced; two got crypto theft charges; one got crypto scam fine; Banana Gun will refund victims; WazirX, Liminal in dispute; SEC settled with TrueCoin, TrustToken; CFTC may settle with Mango Markets.
OpenAI Seeks to Become a For-Profit CompanyWednesday brought more turmoil in the top ranks of OpenAI after three executives in leadership positions quit the company at a time when the AI giant seeks to convert itself into a for-profit entity. The new structure may affect how the company prioritizes and addresses AI risks.
Meta, Apple, Mistral, Nvidia Not Among AI Pact's SignatoriesMore than 100 tech companies including OpenAI, Microsoft and Amazon on Wednesday made voluntary commitments to conduct trustworthy and safe development of artificial intelligence in the European Union, with a few notable exceptions, including Meta, Apple, Nvidia and Mistral.
Federal Trade Commission Takes Aim at Deceptive Use of Artificial IntelligenceThe U.S. Federal Trade Commission announced a series of law enforcement actions Wednesday targeting companies the commission said is using misleading or deceptive artificial intelligence practices to deceive or defraud consumers, from promises of "AI lawyers" to generating countless fake reviews.
How to Navigate the New Challenges and OpportunitiesAI has enabled supply chains to become more proactive and predictive. Through machine learning algorithms, natural language processing and advanced analytics, organizations can now forecast demand with greater accuracy, anticipate potential disruptions and optimize inventory management in real time.
Training AI With Synthetic Data Can Lead to Model CollapseUsing facts to train artificial intelligence models is getting tougher, as companies run out of real-world data. AI-generated synthetic data is touted as a viable replacement, but experts say this may exacerbate hallucinations, which are already a big pain point of machine learning models.
Series C Funding to Fuel Generative AI Integration and AI-Powered Threat DetectionThe funding will enhance generative AI technologies that streamline security operations and provide autonomous threat investigation, alongside plans for broader U.S. and European market penetration.
How AI Could Solve Failings of Traditional Employment and Income VerificationFake paystub generators and unscrupulous businesses have made it easy for fraudsters to exploit outdated employment and income verification systems that account for $3.6 billion in losses for auto lenders alone, but AI-driven solutions are emerging as a game-changing defense.