Risk Desk

AI Security

Follow AI security risks, prompt injection, data privacy, model abuse, malware, enterprise controls, red teaming, and safe AI deployment.

Topic coverage
11
related articles available
AI securityprompt injectionLLM securityAI privacyAI malwareAI red teamingsecure AI deployment
Mythos vs China’s New AI Security Tools: Which Offers Better Protection?
AI Tools

Mythos vs China’s New AI Security Tools: Which Offers Better Protection?

A side‑by‑side look at Anthropic’s Mythos and the two AI security tools unveiled by a Chinese cybersecurity firm, weighing performance, adoption and strategic positioning.

Jun 28, 20264 minRead story

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

UK's AI Security Institute finds standard benchmarks systematically
AI Analysis

UK's AI Security Institute finds standard benchmarks systematically

UK's AI Security Institute study reveals standard benchmarks underestimate AI agent capabilities.

Jul 4, 20263 min
How to Activate OpenAI Lockdown Mode and Guard Sensitive Data
AI Guides

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.

Jun 7, 20264 min
Claude Code’s hidden‑repo risk: what builders must weigh before switching
AI Tools

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.

Jun 29, 20265 min
How to Turn Your SOC Analyst Into an AI Agent
AI Guides

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.

Jun 11, 20264 min
DOJ says xAI’s unapproved turbines critical to national security
AI News

DOJ says xAI’s unapproved turbines critical to national security

The Justice Department argues that xAI’s unpermitted gas turbines are essential to U.S. defense, economic and energy interests, defending their use in an NAACP lawsuit. The claim was made on June 16, 2026.

Jun 17, 20263 min
Amazon CEO’s Security Alert Preceded Government Shutdown of Anthropic’s Flagship AI
AI News

Amazon CEO’s Security Alert Preceded Government Shutdown of Anthropic’s Flagship AI

Andy Jassy warned about Anthropic’s models on June 11, a move that came before the U.S. government halted the firm’s most powerful AI on June 12. The chain of events highlights growing tension between tech firms and regulators over model safety.

Jun 14, 20264 min
AWS launches Continuum and Context to secure AI agents
AI News

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.

Jun 22, 20263 min
South Korea’s AI Affinity: Culture, Infrastructure, and Future Risks
AI Analysis

South Korea’s AI Affinity: Culture, Infrastructure, and Future Risks

South Korea’s enthusiasm for artificial intelligence comes from daily conveniences, a vibrant gaming scene, and state‑backed infrastructure, yet it also sparks privacy and reliance concerns.

Jun 16, 20264 min

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.