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Business and government organizations are rapidly embracing an expanding variety of artificialintelligence (AI) applications: automating activities to function more efficiently, reshaping shopping recommendations, credit approval, image processing, predictive policing, and much more.
Will artificialintelligence become clever enough to upend computer security? AI is already surprising the world of art by producing masterpieces in any style on demand. It’s capable of writing poetry while digging up arcane facts in a vast repository.
And, importantly, do you have a security policy that includes your firm’s overall policies around the increasing race towards artificialintelligence, which is seemingly in nearly every application released these days?
Get the latest from CSO by signing up for our newsletters. ]. All the firewalls in the world can’t help you if an attacker removes your storage media from the storage room. Learn what you need to know about defending critical infrastructure. |
The recent proliferation of tools that employ artificialintelligence (AI) or machine learning (ML) to perform human-like tasks has sparked a great deal of interest in the cybersecurity community. To read this article in full, please click here
Cyberattackers and cyberdefenders appear to be utilizing AI (artificialintelligence) and ML (machine learning) to a rapidly increasing degree, if you are to believe the press, vendors’ claims and blogs. A recent article, […].
The huge volumes of data now available across the globe, combined with ever increasing computer power and advances in data science, will mean the integration of artificialintelligence, AI, into almost every aspect of our daily lives.”. To read this article in full, please click here
Related: RSAC 2025 by the numbers Beneath the cacophony of GenAI-powered product rollouts, the signal that stood out was subtler: a broadening consensus that artificialintelligence especially the agentic kind isnt going away. And also that intuitive, discerning human oversight is going to be essential at every step.
A new next-generation access and authentication platform powered by artificialintelligence was launched Wednesday by SecureAuth. If, after initial authentication, you never authenticate again, a bad actor could potentially run rampant in your system," he tells CSO.
Machine learning and artificialintelligence (AI) are becoming a core technology for some threat detection and response tools. The ability to learn on the fly and automatically adapt to changing cyberthreats give security teams an advantage.
That’s why artificialintelligence (AI) is taking the place of legacy solutions as the backbone of modern endpoint security success. To read this article in full, please click here
RELATED: Uber CSO Found Guilty: The Sky Is Not Falling. Yet ] With the advent of ArtificialIntelligence and the proliferation of large language model-based technologies, CISOs are confronted with even greater challenges in ensuring security, compliance, and regulatory adherence.
The new tier of service, called ExtraHop Reveal(x) 360, uses artificialintelligence (AI) and machine learning to give security teams a visual means for identifying, investigating, and mitigating hotspots of malicious activity in their cloud environments without interfering with developer activity.
In this Spotlight episode of the Security Ledger podcast, I interview Richard Bird, the CSO of the firm Traceable AI about the challenge of securing application programming interfaces (APIs), which are increasingly being abused to steal sensitive data. The post Spotlight: Traceable CSO Richard Bird on Securing the API Economy appeared first.
Autonomous intelligence, artificialintelligence (AI) that can act without human intervention, can help identify critical infrastructure cyberattack patterns and network activity, and detect malware to enable enhanced decision-making about defensive responses.
As artificialintelligence and machine learning models become more firmly woven into the enterprise IT fabric and the cyberattack infrastructure, security teams will need to level up their skills to meet a whole new generation of AI-based cyber risks.
Cybersecurity teams are turning to artificialintelligence to cover a gap in skilled cyber talent, a report from Code42 finds. Spotlight Podcast: CSO Chris Walcutt on Managing 3rd Party OT Risk Episode 256: Recursive Pollution? Related Stories China Calls Out U.S. For Hacking.
The PREVENT products are the latest additions to the firm’s artificialintelligence (AI)-driven portfolio, which it claimed works together autonomously to optimize an organization’s state of security through a continuous feedback loop.
It seems that everyone is rushing to embed artificialintelligence into their solutions, and security offerings are among the latest to obtain this shiny new thing. Like many, I see the potential for AI to help bring about positive change, but also its potential as a threat vector. To some, recent AI developments are a laughing matter.
Congressional hearings on artificialintelligence and machine learning in cyberspace quietly took place in the U.S. Senate Armed Forces Committee’s Subcommittee on Cyber in early May 2022. While work has begun in earnest within industry and government, it is clear that much still needs to be done.
Expanding the use of machine learning and artificialintelligence. This shift to remote work has put a spotlight on three inter-related issues for business and cybersecurity leaders in modernizing SOCs to meet the needs of today’s workplace. These include . The need for more extensive automation.
Its Visa Advanced Authorization (VAA) scoring service, one of the company’s most prominent offerings, uses artificialintelligence and machine learning techniques to score the likelihood that a transaction in progress is fraudulent. For Visa, successful fraud detection must happen in mere milliseconds.
The fully managed offering will use artificialintelligence (AI) and machine learning (ML) tools to support identity journeys, which will include building, verifying, and authenticating identities, along with regulatory compliance.
Microsoft-backed OpenAI has launched a bug bounty program and is inviting the global community of security researchers, ethical hackers, and technology enthusiasts to help the company identify and address vulnerabilities in its generative artificialintelligent systems. “We
While robot overlords haven’t materialized (yet), modern life is inseparable from artificialintelligence (AI) and machine learning (ML). Twenty-four years later, the line between fact and fiction has all but vanished, and the blockbuster hits much differently. Are we entering the Matrix? Are we already in it? Can anyone be sure?
Manufacturing can be faster, more data-driven, more responsive to the needs of workers and customers, and more powered by innovations such as artificialintelligence, internet of things, digital supply chains, and blockchain. Industry 4.0 has vast potential to transform what factories can do. While the possibilities of Industry 4.0
Tension between difficult economic conditions and the pace of technological innovation, including the evolution of artificialintelligence (AI), is fueling the growth of the identity attack surface and identity-led cybersecurity exposure.
As more companies roll out artificialintelligence (AI) and machine learning (ML) projects, securing them becomes more important. A report released by IBM and Morning Consult in May stated that of more than 7,500 global businesses, 35% of companies are already using AI, up 13% from last year, while another 42% are exploring it.
At that time generative AI was not a major consideration and novel privacy-preserving techniques (PPT) were not featured heavily on a CSO 5yr budgetary plan. The world has changed. The responsible use of GenAI, and adoption of PPT play a crucial role in aligning with DORA legislation while safeguarding sensitive data.
Artificialintelligence has zoomed to the forefront of the public and professional discourse — as have expressions of fear that as AI advances, so does the likelihood that we will have created a variety of beasts that threaten our very existence.
By Microsoft Security Innovations in cloud computing, artificialintelligence (AI), and the Internet of Things (IoT) have paved the way for an increasingly interconnected world. However, for all of its benefits, technology also exposes companies to a greater risk of cyber-attacks.
Today’s NDR solutions offer behavior-based analytics through artificialintelligence, machine learning tools and automated incident response. Network Detection and Response, or NDR , has morphed from its original role as a traffic monitoring and statistics analysis tool. But how will NDR evolve in the future?
Th e 8th biennial Deloitte-NASCIO Cybersecurity Study reveals a rapidly evolving cybersecurity landscape, with artificialintelligence (AI) and generative AI (GenAI) introducing new challenges. Conducted in spring 2024, the study captures insights from Chief Information Security Officers of all 50 U.S.
The firm has also released a new native artificialintelligence for IT operations (AIOps) solution for SASE to help simplify networking and security operations.
Monitoring cyberthreats; correlating cyber threat intelligence with internal security telemetry; and keeping up with the tactics, techniques, and procedures used by adversaries is no easy proposition. The reality is, bad actors have an ever-growing array of innovative and complex tools at their disposal, including artificialintelligence.
At the company’s Cisco Live customer and partner conference in June, Cisco boldly connected the dots of a network- and cloud-based ecosystem that ties together innovative technologies to drive productivity, resiliency, and growths, while also showcasing its artificialintelligence (AI) capabilities. of the total market.
And, in our second segment, Sam Bisbee the CSO of the firm ThreatStack joins us to talk about last month's hack of the PEAR open source package manager and why data deserialization attacks are a growing threat to projects that use open source components. Vijay Balasubramaniyan of Pindrop joins us to talk about it.
Also: Srinivas Mukkamala, the CEO of RiskSense about how artificialintelligence and risk based approaches to securing. » Related Stories Podcast Episode 112: what it takes to be a top bug hunter Podcast Episode 113: SAP CSO Justin Somaini and Election Hacks – No Voting Machines Required! Read the whole entry. »
Artificialintelligence and machine learning were promoted as a way to do more – or at least to do no less – with fewer people. RSA showed the cyber security industry wrestling with this intractable problem. There were many responses to this: companies were talking increasingly of managed security offerings.
It is a common theme of mine, but one which bears repeating. We collect and disseminate all manner of data, but not so much of data which count. In an article by mathematician Hannah Fry in the March 29, 2021 edition of The New Yorker, she reviews two new books on data and statistics.
Lesson learned Kamkar continues to test security integrity as co-founder and CSO of Openpath Security. Her research includes artificialintelligence , blockchain technology, and how psychology applies to IT. pic.twitter.com/xorDXoh2uk — Samy Kamkar (@samykamkar) October 31, 2020. Shira Rubinoff | @Shirastweet.
With the weight of Western sanctions crippling parts of the Russian economy, the consensus seems to be that Moscow’s ambitions of being a major player in the development of machine learning, robotics, natural language processing and other artificialintelligence (AI) tools are functionally dead.
The Biden administration today announced a new effort to address the risks around generative artificialintelligence (AI), which has been advancing at breakneck speeds and setting off alarm bells among industry experts.
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