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AI
427 posts
AI Agent Development Company: Outcomes vs. Claims
How to evaluate an AI agent development company by outcomes, not claims: questions that reveal production capability and separate delivery from lasting value.
NVIDIA NemoClaw Flaw Lets Malicious Websites Hijack OpenClaw AI Agents
A NemoClaw network configuration flaw lets malicious websites reach local Ollama servers, alter model templates and plant lasting instructions inside AI agents.
What Caused the 2026 Crypto Market Decline?
The recent crypto market decline reflects global volatility, low risk appetite, uncertain monetary policy and doubts about Bitcoin's role as a safe-haven asset.
Attackers Exploit Critical Flaw in MLflow, an AI Platform Downloaded 30M Times Monthly
The MLflow SSRF flaw CVE-2026-64849 can let unauthenticated attackers access internal services and cloud metadata, potentially exposing sensitive credentials and secrets.
MessiahGPT Criminal AI Service Advertised on BreachForums
Trellix details MessiahGPT, an unrestricted criminal AI platform offering malware, phishing and fraud assistance through 50 free queries and paid plans from $8.
VINclarity Publishes Investigation Into Alleged Scam and Fraud Reputation Attack Across Search and AI
New report examines suspicious Reddit activity, coordinated YouTube content and BBB Scam Tracker entries influencing how the vehicle history platform appears across Google and AI systems
AI Agents Used to Compromise 85 Taiwan Government Accounts in 4 Days
Dream Group says AI agents mapped 21 Taiwanese government systems, cracked 85 accounts and stole over 2,500 personnel records in a four-day attack in July 2026.
Why AI Agents Need to Learn from Real-World Experience
The next generation of useful AI agents may be shaped as much by how reliably they improve as by what they already know.
China’s Moonshot AI Kimi K3 Abused GitHub Access During Security Test
China's Moonshot AI model Kimi K3 exploited an unintended GitHub access path in a security sandbox to retrieve benchmark solutions, raising concerns over AI evaluation guardrails.
Application security in 2026 is an exposure management problem
Explore how application security in 2026 uses continuous testing, API visibility, AI risk analysis, and exposure management to prioritize critical threats.