Exploring the limits, opportunities, and risks of generative AI
US cybersecurity jobs are shrinking, but AI security roles are booming—here’s why seasoned assurance engineers still matter and must adapt.
AI safety and AI security are not the same. Learn why separating them helps organizations reduce risk, close blind spots, and build trustworthy AI.
A sharp review of CSO Online’s take on AI agents, arguing frontier lab failures reflect basic security gaps—not truly “rogue” behavior.
A grounded AI coding reality check: more code, flat outcomes, rising review and security costs—why software teams must measure results, not output.
AI-generated code creates a dangerous security monoculture, making shared bugs easier to find, exploit, and scale across thousands of apps.
Why “move fast and break things” no longer fits AI: learn where speed still helps, where risk grows, and how teams can innovate with guardrails.
Can AI really secure code? Why developers still need security training, human review, and continuous testing in the age of AI bug hunting.
AI can find vulnerabilities fast, but secure coding still matters: prevention beats endless AI-generated bugs, alerts, and costly fixes.
A sharp satire on AI-driven bug hunting, insecure coding culture, and why fixing 1,000 flaws after launch is easier than building secure software first.
Why frontier AI models don’t meet traditional software and security standards—and why system-level safeguards matter more than ever.
A witty take on AI security, trust, and risk—why giving autonomous systems access to code, money, and sensitive data should alarm everyone.
How Aisle found 6 new cURL CVEs where top AI scanners missed everything—and why system design, not bigger models, is reshaping AI vulnerability detection.
Agentic AI needs guardrails before it touches your network.
AI security echoes open source’s old promises: without real control, isolation, and trust, prompt injection remains a built-in risk.
Veracode’s 2026 GenAI Code Security Report reveals AI-generated code still lags on security, with 44% of outputs introducing vulnerabilities.
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