Code-to-Runtime: Using Apiiro’s proprietary "Applicative Fingerprinting" technology, Apiiro AI-SAST automatically maps code resources with their specific build and production artifacts to distinguish ...
First unified, single-pane-of-glass platform to deliver real-time detection and mitigation of API threats, including Broken Object Level Authorization (BOLA) and other advanced business logic threats ...
In the MCP era, there is no "expected behavior" to deviate from. Every workflow is unique. Every sequence of tool calls is ...
Modern security demands both the scale and performance of WAAP and the precision and lifecycle coverage of dedicated API ...
Next year, cybersecurity becomes an AI-driven battleground where trust erodes, deception scales, and the speed of intelligent ...
Software supply chain management company JFrog Ltd. today announced an expansion of its artificial intelligence governance capabilities within its Software Supply Chain Platform with the introduction ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
SAN FRANCISCO, Aug. 25, 2025 /PRNewswire/ -- Wallarm, the leading unified platform for API and agentic AI security, today announced the release of its Q2 2025 API ThreatStats Report. The report offers ...
Cyberattackers' abilities to invent new tradecraft that tilts the AI war in their favor is happening faster than anyone predicted, making every cybersecurity vendor double down to improve their ...
Explore how AI-driven threat detection can secure Model Context Protocol (MCP) deployments from data manipulation attempts, with a focus on post-quantum security.
Appdome, the leader in protecting mobile businesses, today announced its best-ever performance in the G2 Winter 2026 Reports, achieving 37 badges across 75 reports, including multiple No. 1 rankings ...
AI-enabled campus security technology improved threat detection capabilities and operational efficiency while demonstrating the need for human oversight to mitigate implementation risks. artificial ...