"At the core of AI Security is AI Discovery, which is generally available today. The module automatically maps the entire AI attack surface in real time, including LLM calls, MCP servers, AI agents, and third-party tools from OpenAI and Anthropic."
"AI Testing actively tests for AI-specific vulnerabilities, such as prompt injection, jailbreaks, and data leaks. Traditional DAST tools often cannot detect these types of vulnerabilities. The AI Firewall filters LLM inputs and outputs in real time, blocking attacks before they succeed."
"Secure AI Coding addresses a different problem: the vulnerabilities introduced by AI coding tools into codebases. Nearly half of security and engineering leaders are concerned about the security of AI-generated code. The new module integrates directly with Cursor, Windsurf, and Claude Code and scans code at the moment of generation within the IDE."
Harness expands its DevSecOps platform with two new products addressing AI-related security risks. AI Security includes AI Discovery, which maps the entire AI attack surface including LLM calls, MCP servers, and AI agents. AI Testing detects AI-specific vulnerabilities like prompt injection and jailbreaks that traditional tools miss. The AI Firewall filters LLM inputs and outputs in real time, automatically adapting to new attack patterns. Secure AI Coding integrates with popular AI coding assistants to scan generated code within the IDE, addressing concerns about vulnerabilities in AI-generated code that often receives less review than human-written code.
Read at Techzine Global
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