AI Safety Is Not AI Security: Why Trustworthy AI Requires Two Different Disciplines
AI safety and AI security are not the same. Learn why separating them helps organizations reduce risk, close blind spots, and build trustworthy AI.
Tag: sdlc
Critical Analysis: “AI Agents Aren’t ‘Going Rogue.’ Frontier Labs Are Skipping Security Basics.”
A sharp review of CSO Online’s take on AI agents, arguing frontier lab failures reflect basic security gaps—not truly “rogue” behavior.
Ash 120s’ Take on Gerty’s “More Code, Not More Software”
A grounded AI coding reality check: more code, flat outcomes, rising review and security costs—why software teams must measure results, not output.
The Bottleneck Was Never the Compiler: What Organizations Get Wrong About AI Coding Adoption
Why AI coding boosts output but slows delivery: a sharp look at review bottlenecks, trust gaps, incentives, and what real success looks like.
The Monoculture Problem: Why AI-Generated Code Fails in the Same Places
AI-generated code creates a dangerous security monoculture, making shared bugs easier to find, exploit, and scale across thousands of apps.
Does “Move Fast and Break Things” Still Work in the AI Era? A Practical Review for IT Teams
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.
AI Can Find the Bugs. Who Decides What Secure Means?
Can AI really secure code? Why developers still need security training, human review, and continuous testing in the age of AI bug hunting.
Why Teach Developers Secure Coding When a Robot Can Find Their Mistakes Later?
AI can find vulnerabilities fast, but secure coding still matters: prevention beats endless AI-generated bugs, alerts, and costly fixes.
Why Bother Teaching Developers Security When AI Can Just Mop Up the Mess Later?
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.
The Lord of COBOL on Galactica Speaks: AI Is Scary, Please Don’t Fire the Security People
A witty take on AI security, trust, and risk—why giving autonomous systems access to code, money, and sensitive data should alarm everyone.
Systems Over Models: Why Aisle’s cURL Findings Matter (And Where AI Bug Hunting Goes Next)
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.
How Organizations Can Secure Agentic AI Use
Agentic AI needs guardrails before it touches your network.
How Hackers Hide Malicious Instructions in AI Memory
How hidden prompts can poison AI memory—and defenses
The Older I get, the More the Hype Cycles Rhyme
AI security echoes open source’s old promises: without real control, isolation, and trust, prompt injection remains a built-in risk.
Ash120’s Take – Steward Launch Vibes, HAL9000 Shenanigans, and Why Self-Hosted Finance Matters
Discover Steward, a self-hosted personal finance app built for privacy, budgeting, investments, and full control without subscriptions or data brokers.