Plurilock AI PromptGuard
Plurilock AI PromptGuard is a new, patent-pending security tool designed to protect companies against data leaks while their employees use generative AI platforms like ChatGPT.
Unlike other solutions to the generative AI data leakage problem, PromptGuard doesn't block AI use or individual AI prompts. Instead, PromptGuard relies on a mature DLP engine to detect sensitive data in prompts and anonymize it before it is sent to the AI platform. When the AI platform returns an answer, PromptGuard restores the original references before showing them to the user.
This preserves the workflow and query flow of AI, enabling users to productively use it, while keeping sensitive data out of the AI platform's hands.
PromptGuard also provides a complete, bi-directional audit log of queries and replies for each user, enabling companies to create a compliance-friendly record of what was sent to AI, and what AI sent back.
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Skybox Security
The Skybox approach to risk-based vulnerability management starts with fresh vulnerability data from your entire network — physical IT, multi–cloud and operational technology (OT). Skybox uses a wide range of sources, including asset and patch management systems and network devices, to assess vulnerabilities without a scan. We also collect, centralize and merge data from multiple scanners to give you the most accurate vulnerability assessments on demand. Centralize and enhance vulnerability management processes from discovery to prioritization and remediation. Harness the power vulnerability and asset data, as well as network topology and security controls. Use network modeling and attack simulation to find exposed vulnerabilities. Augment vulnerability data with intelligence on the current threat landscape. Know your best remediation option, including patching, IPS signatures and network–based changes.
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WebOrion Protector Plus
WebOrion Protector Plus is a GPU-powered GenAI firewall engineered to provide mission-critical protection for generative AI applications. It offers real-time defenses against evolving threats such as prompt injection attacks, sensitive data leakage, and content hallucinations. Key features include prompt injection attack protection, safeguarding intellectual property and personally identifiable information (PII) from exposure, content moderation and validation to ensure accurate and on-topic LLM responses, and user input rate limiting to mitigate risks of security vulnerability exploitation and unbounded consumption. At the core of its capabilities is ShieldPrompt, a multi-layered defense system that utilizes context evaluation through LLM analysis of user prompts, canary checks by embedding fake prompts to detect potential data leaks, pand revention of jailbreaks using Byte Pair Encoding (BPE) tokenization with adaptive dropout.
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Constellation Gate AI
Constellation Gate AI is a drop-in defense layer for AI agents, built to sit between the agent and the model while screening every request for attacks and leaks. Gate acts as an inline gateway for coding agents and model APIs, protecting workflows without requiring major code changes. Users can point existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode at Gate and inherit prompt-injection defense, secret scanning, PII redaction, token optimization, and a verifiable audit trail. The platform is designed around three real risks: prompt injection, credential and PII leakage, and hijacked tool calls. Instead of relying on the model to defend itself, Gate blocks attacks before they reach the model, redacts secrets before responses return, and stops attacker-controlled tool outputs before an agent acts on them. Gate accepts the same calls an agent already makes, forwards them to the model, scans every call and response in both directions.
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