AI-driven security succeeds when innovation prioritizes usability, automation, scalability, and human-centered design.
He's not alone. AI coding assistants have compressed development timelines from months to days. But while development velocity has exploded, security testing is often stuck in an older paradigm. This ...
AI agents are now being tested against real smart contract vulnerabilities after $3.4 billion was lost to crypto hacks in 2025 ...
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API keys and credentials. Agents operate inside authorized permissions where firewalls can't see. Traditional security models weren't built for this. Your developers are already experimenting.
Complacency is a real risk factor. This is why it is critical that businesses look at upgrading their tech infrastructure.
For production AI, security must be a system property, not a feature. Identity, access control, policy enforcement, isolation ...
AI agents in 2026 rely on tools, memory, guardrails, and evaluation; learn to build safer and avoid common failures ...
"Microsoft is turning Notepad into a slow, feature-heavy mess we don't need." The post Microsoft Added AI to Notepad and It ...
The US DOE has set AI-driven challenges under the Genesis Mission to advance nuclear energy, fusion, cleanup, and national security.