// tag
#ai-security
Agentic AI Browsers: The New Prompt-Injection Attack Surface Businesses Are Ignoring
ChatGPT Atlas, Perplexity Comet, and other AI browsers can click, fill forms, and shop with your credentials. Here is how attackers are already hijacking them — and what to actually do about it.
Agentic SOC: How AI Is Actually Changing Security Operations in 2026
AI agents are starting to triage alerts and investigate incidents autonomously — but most teams still keep a human in the loop for good reason. Heres where agentic SOC technology actually stands, and what it means for smaller security teams.
AI Agent Security: How to Secure Autonomous AI Agents With Access to Your Systems
AI agents are no longer just chatbots — they call APIs, execute code, and take actions on your systems. Here is the new attack surface that creates, and how to actually secure it.
Cybersecurity for AI Applications: A Practical Security Checklist for Businesses
Authentication, prompt injection, tool permissions, data isolation and twelve other areas to check before an AI application goes into production — a practical checklist, not a theoretical framework.
AI-Generated Malware: How Attackers Are Using AI to Build and Scale Cyberattacks
Security vendors are now documenting live attacks where AI tools wrote, tested, and deployed malware with minimal human involvement. Heres what changed, what hasnt, and what it means for your defenses.
AI Model Supply Chain Security: The Risk of Pulling Pretrained Models From the Internet
Your developers are downloading pretrained AI models from public hubs the same way they install npm packages — and the same supply-chain risks apply. Heres what researchers have found, and how to vet a model before you deploy it.
AI Red Teaming: How to Stress-Test Your AI Systems Before Attackers Do
If your business has built or deployed an AI application, it needs adversarial testing the same way your web application needs a penetration test. Heres how AI red teaming works, and the OWASP framework most teams test against.
AI Security Risks Every Business Should Understand
Adopting AI tools introduces a specific set of security risks — prompt injection, data leakage, and unsanctioned "shadow AI" use — distinct from traditional software risk. Here is what actually matters.
Deepfake Attacks on Businesses: How to Defend Against AI-Powered Impersonation
Gartner names deepfakes among the critical threats where attackers currently have the advantage. Here is how deepfake fraud actually works against businesses, and the verification habits that stop it.
Non-Human Identity Security: Why the Machine Identities Outnumbering Your Employees Are Your Biggest Blind Spot
API keys, service accounts, and AI agents now outnumber human employees by 100 to 1 or more in most organizations. Heres why non-human identity has become a top 2026 security priority, and how to start managing it.
Prompt Injection Attacks Explained: How Attackers Manipulate AI Applications
OWASP ranks prompt injection as the top risk to LLM applications. Here is how direct and indirect prompt injection actually work, with a real zero-click incident, and how to defend against it.
Shadow AI Security: How Employees Using Unapproved AI Tools Can Expose Company Data
Shadow AI use among employees has grown dramatically in the past year. Here is what it actually is, what data it puts at risk, and a practical checklist for getting ahead of it.