AI hands are reaching further into the tech industry. Microsoft has added Security Copilot, a natural language chatbot that can write and analyze code, to its suite of products enabled by OpenAI's GPT-4 generative AI model. Security Copilot, which was announced on Wednesday, is now in preview for select customers. Microsoft will release more information through its email updates about when Security Copilot might become generally available. Microsoft Security Copilot is a natural language artificial intelligence data set that will appear as a prompt bar.

Thank you to my partner Enrique Salem for debate and feedback. If you're thinking about security, I'd love to meet you. Historically, there have been four big categories in security: cloud (evolving from networks prior), identity, email, and endpoint. In every generation, each of these categories has supported at least one really big winner. Over the last decade, new threat vectors have illuminated gaps in the armor, leading to a proliferation of security point products.

You've undoubtedly read about "self-supervised" learning or "unsupervised AI" cybersecurity. As their descriptions imply, these security platforms offer a degree of autonomous AI oversight. Still, what does this mean, exactly? Is there a meaningful difference between supervised and unsupervised AI? The answer is a resounding, "yes."

Microsoft Corp. MSFT, -0.17% announced Thursday it was throwing its hat into the AI-based security ring with the release of its Azure Sentinel product ahead of one of cybersecurity's biggest trade shows. In a briefing, Ann Johnson, who heads Microsoft's cybersecurity solutions group, said Azure Sentinel is the first native security information and event management, or SIEM, tool within a major cloud platform. In the push for an AI-based security platform, Johnson once again cited an estimate from research firm Cybersecurity Ventures that the industry faces a shortage of about 3.5 million qualified workers by 2022. Johnson said early adopters of Azure Sentinel have reported an up to 90% reduction of alert fatigue, where already stressed cybersecurity workers find themselves chasing what prove to be false alarms, and that threat-hunting times that used to take hours are being reduced to seconds. The company also announced its Microsoft Threat Experts product within Windows Defender, where users can click the "Ask a Threat Expert" button to submit questions directly to Microsoft staff.

In Brief What if we could Predict when a cyber attack is going to occur before it actually happens and prevent it? Security researchers at MIT have developed a new Artificial Intelligence-based cyber security platform, called'AI2,' which has the ability to predict, detect, and stop 85% of Cyber Attacks with high accuracy. Cyber security is a major challenge in today's world, as government agencies, corporations and individuals have increasingly become victims of cyber attacks that are so rapidly finding new ways to threaten the Internet that it's hard for good guys to keep up with them. A group of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) are working with machine-learning startup PatternEx to develop a line of defense against such cyber threats. The team has already developed an Artificial Intelligence system that can detect 85 percent of attacks by reviewing data from more than 3.6 Billion lines of log files each day and informs anything suspicious.

With few exceptions, organizational theory subscribes to the virtues of eliminating silos. According to Joanne Martin, a cybersecurity expert who spoke at the June UBTech conference, vendors are moving away from products designed to address just one piece of the IT stack in favor of integrated platforms that give staff cross-system visibility. Accompanying those platforms are tools that leverage automation and machine learning to analyze activity and user behavior on the network. IDC's projections about the security market lend credence to the notion of shifting from silos to integration. It is estimated that by 2020, organizations will invest an additional $3 billion in platform-based security models and cloud-based offerings.

For the past two days, Samsung has been talking about its Galaxy Note 7's iris scanner on its online newsroom, highlighting the reasons why this new mobile security feature could be a big game changer in the mobile industry. Just yesterday, the South Korean-headquartered company discussed how the iris scanning technology is making Samsung Pass even more secure. Samsung Pass is part of Knox, the comprehensive security platform of Samsung's recent handsets. Pass previously centered on fingerprint recognition via the fingerprint scanner as a means of enhancing the identity verification process of the phone itself and certain apps. With the addition of the iris scanner, Samsung claims that the Note 7's security has reached the ultimate level thanks to this advanced biometric authentication that does not require IDs or passwords for identity authentication.

In Brief What if we could Predict when a cyber attack is going to occur before it actually happens and prevent it? Security researchers at MIT have developed a new Artificial Intelligence-based cyber security platform, called'AI2,' which has the ability to predict, detect, and stop 85% of Cyber Attacks with high accuracy. Cyber security is a major challenge in today's world, as government agencies, corporations and individuals have increasingly become victims of cyber attacks that are so rapidly finding new ways to threaten the Internet that it's hard for good guys to keep up with them. A group of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) are working with machine-learning startup PatternEx to develop a line of defense against such cyber threats. The team has already developed an Artificial Intelligence system that can detect 85 percent of attacks by reviewing data from more than 3.6 Billion lines of log files each day and informs anything suspicious.