As organizations increasingly look to use artificial intelligence to boost cybersecurity, Kroll's Alan Brill discusses how sound legal counsel and compliance officers can ensure caution and assist with due diligence for the effective implementation of the technology.
Artificial intelligence can solve really old problems around data wrangling and data protection that are essential to many security investigations, said Norwest Ventures' Rama Sekhar. The VC firm is looking at emerging companies that use large language models to automatically clean up data.
Cybersecurity expert Mikko Hypponen recently got sent "LL Morpher," a new piece of malware that uses OpenAI's GPT to rewrite its Python code with every new infection. While more proof-of-concept than current threat, "the whole AI thing right now feels exciting and scary at the same time," he said.
AI Trust Risk and Security Management - AI TRiSM - is a new Gartner research category, and distinguished analyst Avivah Litan is assigned to it. She discussed today's AI attack surface, including attacks that use AI as well as attacks against it and trends to watch in the second half of 2023.
Generative AI tools such as ChatGPT have created quite a buzz. Cybersecurity defenders are excited about the prospect of simplifying coding but are concerned about security and privacy issues. SentinelOne’s Milad Aslaner said security teams should get to know emerging AI - before the criminals do.
White House cybersecurity priorities: The Biden administration continues to have a "relentless focus" on improving critical infrastructure security, disrupting ransomware and combating the illicit use of cryptocurrency, said Deputy National Security Adviser Anne Neuberger.
The investment appetite is quite the opposite of what it was in the past two years. Investors are more cautious, and valuations are much lower. Yet, venture capitalists have identified a few hot technology domains and are pursuing companies with those technology innovations.
The enterprise adoption of AI-based large language models has created a new attack surface for adversaries to exploit, said Thomvest Ventures principal Ashish Kakran. A hacker who gains access to or tampers with the data that's been used to train the large language models could wreak a lot of havoc.
The U.S. Federal Trade Commission is seeking tougher sanctions for Facebook after determining that several gaps exist in the company's compliance with a 2020 consent decree mandating privacy improvements. The company will have 30 days to respond and could challenge tougher privacy rules in court.
Artificial intelligence and machine learning are used extensively for detecting threats, but their use in other areas of security operations is less explored. One of the biggest opportunities for AI and ML in cyber is around investigating potential security incidents, said Forrester's Allie Mellen.
AI is a tool for augmenting humans rather than replacing them, and AI is far from surpassing human capabilities on a scalable level. Although AI can generate realistic images and believable text, it still has a long way to go in detecting anomalies, said Kyle Hanslovan, CEO of Huntress.
Artificial intelligence and machine-learning technology is vulnerable to cyberattacks due to a lack of security around the models themselves, said Mark Hatfield, founder and general partner at Ten Eleven Ventures. How do we identify and fix the potential risks of misuse that come with AI?
The speed at which we're seeing ransomware attacks has increased dramatically in the last couple of years - and it's only getting faster, warns Mary O'Brien, general manager, IBM Security. Ransomware deployment has increased from three months to four days on average.
Early-stage startups interested in the implementation of artificial intelligence are often concerned about the policies surrounding AI use. While some startups are looking at automating policies, others are building platforms to test the accuracy, integrity and robustness of AI models.
Generative AI has revolutionized the way people interact with chatbots. Ruby Zefo, chief privacy officer and ACG for privacy and cybersecurity at Uber Technologies, cited ChatGPT as an example of the need to conduct an "environmental scan" of both external and internal risks associated with it.
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