Tricentis Introduces End-to-End Enterprise Agentic Quality Engineering Platform
Software QA provider Tricentis has brought out an agentic quality engineering platform powered by the new Tricentis AI Workspace, which works by deploying AI agents to manage risk while enabling rapid innovation.
AI has changed the face of software development and deployment in terms of the pace and scope of application changes, and errors found is just one application in a connected ecosystem can introduce risk, increase downtime and hurting the business.
In the announcement, Tricentis wrote: “Tricentis AI Workspace operates as a command center with shared context, integrated workflows and native agent-to-agent collaboration to serve as the system of record and ‘control tower’ for agentic quality engineering, coordinating AI agents across testing, automation, performance and quality intelligence, while embedding governance, approvals and auditability directly into execution.”
Kevin THompson, Tricentis CEO, noted that “AI is transformative in its ability to create code at unprecedented speed, however the friction caused by lack of confidence in the quality of the output is causing CIOs real pain. While enterprises demand speed, they also can’t afford to introduce risk through unsecure or low-quality AI-generated code. “hat’s the problem Tricentis is solving today. We’re offering the first end-to-end agentic software quality platform that redefines how enterprise software can be tested, governed, and released to deliver high-quality code at the speed of AI while safely accelerating time-to-value.”
Within Tricentis AI Workspace are several AI agents working together with defined responsibilities across the entire software development lifecycle (SDLC):
- Tricentis Agentic Quality Intelligence: Continuously interprets change, risk, and quality signals across the SDLC to determine release readiness, automatically directing testing and escalating to humans only when judgment is required.
- Tricentis Agentic Test Automation (updated): Building on the initial launch of Agentic Test Automation, this next generation increases productivity. New features include support for SAP GUI and web applications, deeper integration with Tricentis Tosca automation engines, and intelligent reuse of test modules to reduce duplication, maintenance, and risk.
- Tricentis Agentic Performance Testing: Delivers enterprise-ready, AI-driven performance validation by embedding autonomous agents across analysis, design, and execution – accelerating insights by up to 90–95%, eliminating manual expert bottlenecks, and enabling faster, more confident AI-era release decisions from API to end-to-end systems.
- Tricentis Agentic Test Creation: Integrated deeply into Tricentis qTest, Agentic Test Creation lives side by side with test engineers, helping them with in-context test authoring. Enables natural-language test creation, allowing teams to generate reusable test cases faster and more consistently while reducing duplication and reliance on specialized expertise.
Mend.io launches System Prompt Hardening
Mend.io has launched System Prompt Hardening within Mend AI, built to improve weaknesses in AI system prompts. System prompts often have hidden instructions, which has become a security concern that traditional AppSec tools cannot address. System Prompt Hardening provides visibility into these instructions, identifies weaknesses and automatically strengthens prompt logic to reduce risk before applications reach production, according to the company.
According to Gartner, 32% of organizations reported experiencing an attack on AI applications that leveraged the application prompt within the past year.
“System prompts are the behavioral blueprint for AI applications, but security standards haven’t kept pace with their growing importance,” said Rami Sass, GM of Mend AI. “While security and development teams have established frameworks like CWE and CWSS to evaluate software risk, we are now introducing System Prompt Hardening and AIWE (in closed beta testing) as the first formal methods to assess and enhance these instructions.”
Together, Mend.io’s System Prompt Hardening and AIWE represent a paradigm shift in how organizations govern AI risk. Key capabilities include:
-
Automated Detection and Contextual Labeling: Actionable context for security and development teams through continuous identification of hidden system prompts automatically classified by their function and potential attack vectors;
-
Formal Severity Scoring: A proprietary one-to-100 severity scale that objectively quantifies the risk of specific prompt vulnerabilities and prioritizes remediation based on measurable impact; and
-
Remediation – Proactive System Prompt Hardening: Beyond simple detection, the platform automatically suggests refinements to prompt logic to neutralize threats such as prompt injection before they reach applications in production
System Prompt Hardening is available in Mend AI Core and Mend AI Premium, extending the unified platform to secure AI-generated code and embedded AI components, drive risk reduction through AI-powered remediation, automate compliance, and provide enterprise-scale visibility into application risk across the development lifecycle.
