AI Security
Follow AI security risks, prompt injection, data privacy, model abuse, malware, enterprise controls, red teaming, and safe AI deployment.
UK's AI Security Institute finds standard benchmarks systematically
UK's AI Security Institute study reveals standard benchmarks underestimate AI agent capabilities.
Secure AI workflows
AI security coverage focuses on prompt injection, data leakage, tool permissions, model abuse, browser agents, and unsafe automation patterns.
Track attacks and defenses
The field changes quickly as attackers use AI and defenders build new controls, evaluations, and monitoring systems.
Make deployment safer
Practical guidance emphasizes least privilege, logging, human review, data boundaries, evaluation, and incident response.
More Coverage
How to Activate OpenAI Lockdown Mode and Guard Sensitive Data
A step‑by‑step guide to turning on OpenAI's Lockdown Mode, the newest shield against prompt‑injection leaks.
Open-weight models now match frontier cyber performance from just
Open-weight models match frontier cyber performance from four months ago at a lower cost. The British AI Security Institute warns of ineffective safety measures.
Claude Code’s hidden‑repo risk: what builders must weigh before switching
Security researchers expose how Claude Code can execute unseen malware from a GitHub repo, prompting developers to reassess AI coding tools.
How to Turn Your SOC Analyst Into an AI Agent
A step‑by‑step guide to deploying AI agents, MCP and automation in security operations, using real‑world examples from MSSP Alert, Endava and Jedify.
AWS launches Continuum and Context to secure AI agents
AWS unveiled Continuum and Context on June 21, 2026, aiming to give AI agents business awareness and fix code vulnerabilities. The services target security gaps that have hampered rapid AI‑driven development.
Deepseek Leads Ramp’s June 2026 Vendor List as US Firms Hunt Cheaper AI
Deepseek topped Ramp’s trending software vendors in June 2026, reflecting a cost‑driven shift among US companies toward Chinese AI models, despite security concerns.
Guides and Playbooks
Analysis and Comparisons
AI Security FAQ
What is AI security?
AI security covers the risks and defenses involved in using AI systems, including prompt injection, data leakage, model abuse, unsafe tools, and malicious content generation.
What is prompt injection?
Prompt injection is an attack where hidden or malicious instructions try to override an AI system’s intended behavior.
How can companies reduce AI security risk?
Companies can reduce risk with scoped permissions, data controls, logging, red teaming, human review, and clear policies for AI tool use.