Boosting Security with ChatGBT Utilization
In a significant move towards bolstering cybersecurity, companies like Microsoft, Perception Point, and JP Morgan Chase are leveraging large language models (LLMs) such as ChatGPT to strengthen their defenses against phishing attacks, social engineering scams, and fraud.
Microsoft's Security Copilot
Microsoft has developed Security Copilot, an AI-powered cybersecurity assistant based on GPT-4, to aid security teams in managing the deluge of security alerts and incidents daily. This tool works by aggregating and correlating trillions of security signals from sources like Microsoft Defender, Sentinel, and Intune to detect phishing and social engineering attempts. It also summarizes complex threat data and provides actionable insights to analysts, speeding up the identification of suspicious patterns typical of phishing emails or fraudulent activities. Additionally, Security Copilot reverse-engineers malicious scripts and payloads, recommends remediation actions, and uses the MITRE ATT&CK framework to help contain fraud and phishing threats promptly.
Perception Point's AI-Driven Security
While specific details about Perception Point’s use of ChatGPT are less prominent, companies in their field commonly utilize AI models like ChatGPT to automate phishing detection, generate tailored detection rules for security tools (SIEMs), and enhance incident response.
JP Morgan Chase's AI-Powered Fraud Detection
Large financial institutions like JP Morgan Chase face immense fraud risks and phishing threats. They use AI models, including ChatGPT, for automated fraud detection, combating deepfake and synthetic identity fraud, and leveraging AI-powered analysis to elevate suspicious activity alerts and reduce false positives.
Common Use Cases
Across these companies, AI models scan email contents, chat logs, and other communications to identify language and patterns common in phishing scams and social engineering tactics. They also perform transactional and behavioral analysis to detect anomalies consistent with fraudulent activity, sometimes including synthetic identities or deepfake-enabled scams. Furthermore, AI tools automate routine tasks, freeing human analysts to focus on complex investigations, and improve incident response by correlating data from multiple sources and providing a unified narrative.
Additional Context
Microsoft 365 Copilot offers enterprise AI tools integrated with security and compliance controls, avoiding risks associated with shadow AI usage like unsecured ChatGPT deployments. AI models like ChatGPT are also used for developing detection rules, summarizing extensive threat reports, and aiding in quick vulnerability assessments.
In summary, these companies harness ChatGPT-based AI to improve detection, automate analysis, and accelerate decision-making processes in cybersecurity, countering phishing attacks, social engineering scams, and fraud more effectively than traditional manual methods alone.
- The encryption of Microsoft's Security Copilot, built on GPT-4, aids security teams in detecting and addressing complex phishing attempts and social engineering scams by sifting through trillions of security signals.
- Perception Point, though not explicitly mentioned, likely utilizes AI models such as ChatGPT to automate the detection of phishing attempts, generate customized rules for security tools, and enhance incident response strategies.
- JP Morgan Chase employs AI models, including ChatGPT, to combat deepfake and synthetic identity fraud, in addition to automating fraud detection and decreasing false positives in their cybersecurity practices.
