Artificial Intelligence
Canada’s Emerging AI Regulations Are Sending a Clear Signal: Mobile AI Governance Can No Longer Be Ignored
As organizations accelerate AI adoption, governments worldwide are rapidly establishing governance frameworks to address the operational, security, and societal risks posed by AI systems. Recent attention has focused on the European Union’s AI Act, the first comprehensive AI regulatory framework that imposes risk-based obligations on organizations deploying and managing AI technologies.
The New Era of AI Regulation
Are You Accounting for Mobile in Your AI Governance Strategy?
Introducing Lookout AI Visibility and Governance
Lookout AI Visibility & Governance serves as a strategic force multiplier across Lookout’s mobile security platform, extending protection beyond the device to the AI activity occurring on it.
Is Your Mobile Security Stuck in the Past?
Modern mobile threats have moved beyond the device. If your strategy hasn’t evolved, your risk exposure has.
Understanding the LLM Mobile Landscape in Enterprise Technology
Learn how threat actors can manipulate LLM technology to create convincing social engineering schemes, and how you can protect your organization.
Anatomy of a Vishing Attack: Technical Indicators IT Managers Need to Track
Learn how to protect your organization against a vishing attack, which can combine realistic voice cloning with tried-and-true phishing tactics.
The Automated Con: Mitigation Tactics for Identifying Deepfake and LLM-Assisted Impersonation
Learn how employees at your organization can identify deepfake video, audio, images, and text in order to thwart convincing phishing schemes.
LLM Security Checklist: Essential Steps for Identifying and Blocking Jailbreak Attempts
Learn how to defend your organization’s sensitive large language model (LLM) from jailbreaking attempts by following a simple five-step checklist.
Agentic AI has Arrived on Employee Mobile Devices
Agentic Artificial Intelligence is evolving at a blistering pace, and so are the risks that come with it. The latest generation of agentic AI mobile apps can connect to corporate systems, collect data, and make autonomous decisions with minimal human intervention. They aren’t science fiction—they’re already on personal and business devices today, ranging from consumer convenience tools to enterprise-grade assistants.
What Is a Large Language Model (LLM)?
Learn about large language models (LLMs), key concepts such as transformers and training data, and the opportunities and risks they present to organizations.
Prompt Injection: The Hidden Threat Hijacking Your LLMs (and How to Stop It)
Is your LLM infrastructure prepared for prompt injection attacks? Discover how malicious actors exploit LLMs and the essential steps to prevent them.
Securing Agentic AI on Mobile
Agentic AI is delivering real productivity results today – and investment is surging. But many organizations still overloo
Agentic and Generative AI: Differences and Impact on Organizational Growth
Learn the differences between generative AI and agentic AI, including how they work, what they can do, and whether they present pressing cybersecurity risks.
Ethical and Regulatory Implications of Agentic AI: Balancing Innovation and Safety
Learn about the ethical implications of agentic AI, and how policymakers, technologists, and ethicists can collaborate on this promising new tool.
FraudGPT and the Future of Cyber crime: Proactive Strategies for Protection
Protect your organization from FraudGPT and other adversarial LLMs. Use AI to enhance your threat detection and train your employees to spot likely threats.
The Double-Edged Sword: Benefits and Risks of AI Transformations
While AI tools can foster innovation and improve efficiency, they can also help craft phishing schemes and spread malware.