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Generative AI and the Automation of Social Engineering Increasingly Used By Threat Actors

Threat actors continue to use generative AI tools to craft convincing social engineering attacks, according to Glory Kaburu at Cryptopolitan. “In the past, poorly worded or grammatically incorrect emails were often telltale signs of phishing attempts,” Kaburu writes. “Cybersecurity awareness training emphasized identifying such anomalies to thwart potential threats. However, the emergence of ChatGPT has changed the game.

Fighting AI Cybercrime with AI Security

On August 10th, the Pentagon introduced "Task Force Lima," a dedicated team working to bring Artificial Intelligence (AI) into the core of the U.S. defense system. The goal is to use AI to improve business operations, healthcare, military readiness, policy-making, and warfare. Earlier in August, the White House announced a large cash prize for individuals or groups that can create AI systems to defend important software from cyberattacks.

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AI Remediation: A massive time-saver

One of the biggest challenges that application security engineers are facing is the large amount of false positives from security scanners. False positives are results that indicate a vulnerability where there is none, or where the risk is negligible. Triaging these false positives wastes a lot of time.

The never-ending story: Microsoft AI team accidentally exposed 38 Terabytes of internal data

The accidental sharing of cloud access is an all-too-familiar story. In one latest incident, Microsoft’s AI research team accidentally exposed to the public 38 Terabytes of private data including internal messages, private keys, and passwords, according to a recent report . And all it took to cause this gigantic exposure was a few errant clicks in a configuration menu.

10 best practices for securely developing with AI

By now, we’re all painfully aware that AI has become a crucial and inevitable tool for developers to enhance their application development practices. Even if organizations restrict their developers using AI tools, we hear many stories of how they circumvent this through VPNs, and personal accounts.

What are AI Phishing Attacks?

What are AI Phishing Attacks? AI phishing attacks, also known as AI-powered phishing or AI-driven phishing, are sophisticated cyberattacks that leverage artificial intelligence and machine learning algorithms to craft and execute highly convincing phishing attempts. These attacks are designed to deceive individuals or employees into divulging sensitive information, such as login credentials, financial details, or personal data. How Do AI Phishing Attacks Work?

Microsoft AI involuntarily exposed a secret giving access to 38TB of confidential data for 3 years

Discover how an overprovisioned SAS token exposed a massive 38TB trove of private data on GitHub for nearly three years. Learn about the misconfiguration, security risks, and mitigation strategies to protect your sensitive assets.

Economic impact of automation and artificial intelligence

One of the most important technology trends in cybersecurity is AI (artificial intelligence). The idea behind AI in cybersecurity is to use AI-enabled software to augment human expertise by rapidly identifying zero day malware, APTs, malwareless attacks, or hacking attempts, reducing the organizations’ incident costs.

New Acquisition Powers AI-based Network Detection and Response and Open XDR Capabilities for WatchGuard

Once integrated into the WatchGuard Unified Security Platform architecture, the CyGlass technology will deliver AI- and ML-based detection of network anomalies and accelerate Open XDR capabilities.