Anthropic's AI tool Claude Code Security analyzes code contextually rather than based on rules. The stock market reacts ...
According to an analysis of Starkiller by the security firm Abnormal AI, the service lets customers select a brand to impersonate (e.g., Apple, Facebook, Google, Microsoft et. al.) and generates a ...
Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder's research team built a new secrets detection method and scanned 5 ...
Mobile apps hide most risk behind login screens. AI-driven testing now pierces that blind spot, exposing real threats before attackers do.
Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.
“Once contribution and reputation building can be automated, the attack surface moves from the code to the governance process around it. Projects that rely on informal trust and maintainer intuition ...
Threat actors have been spotted using complex techniques to figure out how mature large language models work, and using the ...
Company extends behavioral malware analysis and threat intelligence platform to SDLC and CI/CD pipelines to expose and block malicious artifacts before they execute ...
With more than $3.4 billion stolen from protocols in 2025 alone, including the $1.5 billion Bybit hack, the security crisis in Web3 has reached a critical ...
For years, security programs have relied on point-in-time snapshots to prove control effectiveness. They’ll run a quarterly audit here, a monthly scan there.
Can UPSC trends really be predicted? Read a detailed reality check on UPSC Prelims and Mains trend analysis, preparation strategy, and why prediction cannot replace complete syllabus coverage.
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