Large Behavior Model (MBL)
Large Behavior Model (MBL): Advanced AI system simulating human behavior using vast datasets; predicts actions, enhances decision-making, trains via reinforcement learning, impacts tech, psychology, and user interaction.
Large Behavior Model (MBL): Advanced AI system simulating human behavior using vast datasets; predicts actions, enhances decision-making, trains via reinforcement learning, impacts tech, psychology, and user interaction.
Red teaming enhances AI model security by identifying vulnerabilities in infrastructure and models exposed to open-source threats. It addresses risks like API exploitation, model extraction, and supply chain attacks by simulating real-world attacks. This proactive approach helps organizations mitigate risks, safeguard against model theft, and manage excessive agency in AI systems, ultimately strengthening their cybersecurity posture.
TLDR: Cybersecurity will face key trends in 2025: Increased demand for CISOs due to global instability; AI's dual role in facilitating attacks and enhancing security; focus on building a security culture to mitigate human error; navigating complex state-level AI regulations; and the need for post-quantum cryptography strategies. Proactive planning is essential for organizations to strengthen defenses and protect data.
https://www.informationweek.com/cyber-resilience/top-cybersecurity-trends-that-will-impact-this-year
Summary:
OT cyber defense is often inadequate, and basic security measures are neglected. Hackers exploit weak authentication. Aging OT systems complicate security updates and challenge integration with IT. Implementing role-based access, multi-factor authentication, and zero-trust principles is critical yet complex. The shift to cloud services raises concerns about user access management. Compliance with standards like ISA/IEC 62443 is essential, but challenges remain, including legacy system vulnerabilities and the need for robust security practices across IT and OT environments.
16 AI startups enhance global safety, selected for Google's 2025 Cybersecurity Growth Academy. Examples include CounterCraft, which uses AI to create fake environments to deter threats, and DeepTrust, focusing on securing voice communications. The year-long program offers mentorship and resources to help these startups scale their solutions.
https://blog.google/outreach-initiatives/entrepreneurs/growth-academy-ai-cybersecurity-cohort-2025/
Summary: Cybercrime poses a significant national security threat, outpacing state-backed intrusions in frequency. The impact is evident in industries like healthcare, where ransomware attacks disrupt patient care and compromise sensitive data. Cybercriminals support state efforts by providing tools and services or acting on behalf of governments, leading to a complicated relationship between crime and state objectives. Tackling cybercrime requires international cooperation, enhanced cybersecurity measures, and a recognition of its national security implications to effectively disrupt this resilient ecosystem.
SAST: Code analysis for security vulnerabilities during development phase. Detects issues early, integrates into CI/CD pipelines, supports multiple languages, aids compliance, offers actionable insights for developers to fix vulnerabilities pre-runtime.
DAST: security testing method assessing apps in runtime. Identifies vulnerabilities by simulating attacks without source code access. Essential for uncovering runtime issues, security flaws, and configuration errors. Complementary to Static Application Security Testing (SAST). Targets web applications, APIs, and services to ensure robust security posture.
SCA evaluates software dependencies for vulnerabilities, licensing issues, and compliance risks. It automates identification of open-source components, ensuring security and legal adherence in software development.
NIST: U.S. agency promoting measurement standards, technology, and innovation; supports industry, science, and trade; develops guidelines, promotes best practices for security, measurements, and research.