Wiz Red Agent is an AI-powered security tool designed to simulate sophisticated attacker behaviors, enabling organizations to proactively identify and address complex, logic-driven vulnerabilities within their applications and APIs. By emulating the tactics of advanced threat actors, Red Agent uncovers exploitable risks that traditional security measures might overlook, thereby enhancing an organization's defensive posture. Key Features and Functionality: - AI-Driven Attack Simulation: Red Age
DRisk is an AI-powered risk and compliance management platform designed to streamline and automate the complexities of information security compliance. It centralizes risk registers, audit management, document libraries, and compliance tracking across multiple frameworks, including ISO 27001, SOC 2, GDPR, HIPAA, and PCI DSS. By leveraging artificial intelligence, DRisk continuously identifies risks, scores their severity, and recommends treatments, ensuring that compliance programs remain curren
Tuteliq offers AI-powered child safety APIs designed to detect and prevent online risks such as grooming, bullying, self-harm, fraud, radicalization, and synthetic media across various communication forms, including text, voice, image, and video. With a swift response time of under 400 milliseconds and a commitment to zero data retention, Tuteliq ensures privacy and compliance with regulations like KOSA, COPPA, the EU Digital Services Act, the UK Online Safety Act, and GDPR Article 8. Key Featu
Cyberette is an advanced cybersecurity platform designed to provide comprehensive protection against a wide range of digital threats. Utilizing cutting-edge artificial intelligence and machine learning technologies, Cyberette offers real-time threat detection, proactive risk management, and automated incident response. Its user-friendly interface ensures that both small businesses and large enterprises can effectively safeguard their digital assets without requiring extensive technical expertise
RaptorX is an AI-native platform designed to provide real-time fraud detection and anti-money laundering (AML) solutions for financial institutions. By leveraging advanced graph analytics and artificial intelligence, RaptorX identifies and mitigates complex financial crimes, including first-time fraud, mule account networks, and synthetic identities, with over 90% accuracy. The platform offers full explainability and operates at enterprise scale, ensuring compliance with regulatory standards acr
Rasēd's Financial Transaction Intelligence solution leverages artificial intelligence to detect and prevent fraud in real time. By analyzing account data, transaction histories, and customer behavioral patterns, it identifies anomalies and correlates these signals to enhance overall fraud intelligence, enabling faster and more accurate interventions. Key Features and Functionality: - Multi-Source Data Correlation: Integrates account data, transaction histories, device identifiers, and location
Wardya AI is a comprehensive Identity and Risk Intelligence Platform designed to assist banks, fintech companies, and government agencies in verifying customer identities, detecting fraud, monitoring Anti-Money Laundering (AML) activities, and making informed decisions. By integrating identity data, risk signals, artificial intelligence, and human oversight, Wardya AI enables organizations to build trust, manage risk, and maintain compliance effectively. Key Features and Functionality: - Ident
inCompass is a web intelligence and content categorization solution designed to classify URLs, domains, and IP addresses for use in security, networking, and analytics applications. It is typically embedded into OEM products such as secure web gateways, firewalls, DNS filtering platforms, and endpoint security solutions. The platform evaluates web traffic and returns structured metadata, including primary and secondary content categories, security classifications (such as malware or phishing),
Cisco AI Defense Benefits ● Enable secure, private, and safe AI-enabled app development with real-time validation of models and assets through algorithmic AI red teaming. ● Defense against sensitive data loss and advanced adversarial threats with leading threat intelligence and AI guardrails. ● Accelerate value with a single management plane for all AI and smooth integration with the Cisco Security Cloud. Primary AI Defense use cases ● Discover - Maintain continuous visi
In a single click, with 0 complicated setup Save costs (tokens) with Claude Code: - smartly reference cache for already read files - compress shell outputs - better replacements for grep, find etc Guardian Agent for coding agents: - Smart disallow for sensitive data reading by coding agents - Nudge the agent to use updated versions of libraries instead of relying on memory - Block the agent from using compromised libraries etc (protecting against attacks or agent mistakes)
Proofpoint AI Security provides runtime inspection and enforcement for AI applications and agents. The product detects, alerts, and blocks threats across agent-to-tool and agent-to-LLM interactions and evaluates whether agent actions and behavior align with user intent throughout the full execution chain. Deployed at the infrastructure layer via eBPF, coverage is consistent across frameworks, LLM providers, and agent platforms without developer instrumentation.
Runtime security platform for autonomous AI agents. Monitor every agent action in real time, enforce permission boundaries, and automatically roll back damage on violation. Five lines of code. Works with LangChain, CrewAI, AutoGen, and any Python agent framework.
Armor is an AI security layer designed to protect LLM-powered applications, AI agents, and GenAI workflows from real-time threats. It detects and blocks prompt injection attacks, jailbreak attempts, and unsafe model behavior while preventing sensitive data leakage such as PII, PHI, and confidential business data. Armor operates at runtime, inspecting prompts, responses, and tool interactions before they reach users or external systems. Built for developers and security teams, Armor adds guardr
Vector is an AI agent security gateway designed to monitor, control, and secure autonomous AI agents and MCP-based workflows in real time. It sits inline between AI agents and external systems, inspecting every action, tool call, and data request before execution. Vector evaluates intent, enforces policies, and prevents unauthorized actions such as data exfiltration, over-privileged tool access, and indirect prompt injection attacks. Built for modern agentic systems, Vector provides granular c
Radware Agentic AI Protection discovers, monitors, and secures autonomous AI agents across an organization's ecosystem. It addresses critical visibility gaps and security risks introduced by agents that operate, adapt, and chain actions without direct human oversight. The solution provides real-time, behavioral-based detection against unique threats like prompt injection, goal hijacking, and memory poisoning. Additionally, it features continuous security posture management (AI-SPM) via a dynamic
Quint is the behavioral security platform for AI agents. As enterprises deploy autonomous coding agents like Claude Code, Cursor, GitHub Copilot, Windsurf, and Devin, security teams have zero visibility into what those agents actually do at runtime. The gap between what an agent claims and what the OS actually sees is where every AI agent breach lives. Existing AI security tools stop at the API gateway. Quint doesn't. A single action is never the signal. The sequence is. Quint intercepts every
Clampd is a runtime firewall for AI agents, LLM applications, and MCP (Model Context Protocol) servers. Every tool call an agent makes - database queries, API requests, file access, shell commands, payment transactions - gets intercepted, classified, scored, and either signed or blocked before it reaches the downstream service. This addresses the core failure mode of agentic systems: a model can be socially engineered, prompt-injected, or simply hallucinate, but the security boundary lives outsi
Rockfort AI is an AI security platform designed for AI-native companies that need to become enterprise-ready fast. Enterprise buyers increasingly ask AI vendors difficult security and compliance questions: * How do you prevent prompt injection attacks? * Can your AI leak customer data? * Have you red teamed your LLM? * What controls protect sensitive information? * How do you monitor AI usage in production? * How do you prevent employees from exposing regulated data to AI chatbots? Many AI st