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Data from the human vs. machine challenge could provide a framework for government and enterprise policies around generative AI. OpenAI, Google, Meta and more companies put their large language models to the test on the weekend of August 12 at the DEF CON hacker conference in Las Vegas. The Generative Red Team Challenge organized by AI Village, SeedAI and Humane Intelligence gives a clearer picture than ever before of how generative AI can be misused and what methods might need to be put in place to secure it.

At its Google Next '23 event this week, Google revealed how - with the use of its PaLM 2 foundational model - it is applying the generative AI Duet AI to security solutions in Google Cloud, including posture management, threat intelligence and detection and network and data security. Integrating Duet AI into Chronicle explicitly addresses security operations workload and tool proliferation, and implicitly the shortage of security operators in SOC teams, Potti explained.

96% of respondents indicated they were still 'confident or very confident' in their organization's SaaS security measures, and yet, 'managing the security of SaaS applications' is the top challenge for IT leaders. The effects of generative AI. IT leaders must now factor the effects of generative AI, such as ChatGPT, into their overall SaaS security approach.

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Google announced security enhancements to Google Workspace focused on enhancing threat defense controls with Google AI. At a Google Cloud press event on Tuesday, the company announced Google Cloud's rollout over the course of this year of new AI-powered data security tools bringing zero-trust features to Workspace, Drive, Gmail and data sovereignty.The focus of the new enhancements across Google Drive includes a slew of zero-trust aligned, AI-powered enhancements to its cloud-native architecture, according to Google, which said AI will drive automated data labeling and classification to defend against exfiltration attempts by threat actors.

Successful camera surveillance deployments require a delicate interplay between the security cameras, sensors and other hardware, the video management system, and the network itself. Surveillance installations tend to grow over time, and as the number of cameras increases, the bandwidth limit of the network is reached.

The enterprise perimeter is now a massively decentralized IT landscape characterized by large-scale adoption of cloud platforms, digital services, and an increasingly tangled digital supply chain. Regulators are on the march as new threat actors emerge, exploiting increasingly sophisticated attack vectors to compromise organizations faster.

Cybercriminals employ artificial intelligence to create complex email threats like phishing and business email compromise attacks, while modern email security systems use AI to counter these attacks, according to Perception Point and Osterman Research. Cybercriminals have shown rapid adoption of AI tools to their favor with 91.1% of organizations reporting that they have already encountered email attacks that have been enhanced by AI, and 84.3% expecting that AI will continue to be utilized to circumvent existing security systems.

Cybersecurity expert Kayne McGladrey speaks about why AI cannot do what creative people can, and the important role of generative AI in SOCs. Kayne McGladrey, IEEE Fellow and cybersecurity veteran with more than 25 years of experience, asserts that the human element - particularly people with diverse interests, backgrounds and talents - is irreplaceable in cybersecurity.