AI Deployment, Observability & Evaluation

Straiker offers AI-native security solutions specifically designed for agentic AI applications. It addresses the challenges that arise from the rapid creation of these applications, such as over-permissioned agents and unpredictable behaviors. With a focus on speed and accuracy, Straiker observes, isolates, and neutralizes malicious activities in real-time, ensuring that a single compromised agent does not compromise the entire system. The product boasts 99% detection accuracy by analyzing behavioral signals from various layers of AI technology, providing robust security measures across the entire application stack. Through tools like Ascend AI for vulnerability assessment and Defend AI for real-time protection, Straiker empowers users to build and scale their AI applications with confidence.

At Sagetap, we are transforming how technology solutions are discovered and evaluated. Our platform is crafted to help tech Vendors connect with leaders in the tech industry, or Sages, effortlessly and efficiently. Our platform exists to facilitate meetings between these tech sellers and tech buyers in a way that ensures buyer anonymity is always protected, preventing any spam or unwanted follow-ups.

SwarmOne is an inference orchestration platform built for heterogeneous silicon- NVIDIA, AMD, Intel, and Groq - delivering the lowest cost per million tokens through dynamic prefill/decode disaggregation, SLO-driven autoscaling, and heterogeneous GPU packing. The result: 30% utilization becomes 90%+, TCO drops, and production inference finally runs the way it should.

Fiddler helps enterprises monitor, conduct root cause analysis, improve, and secure ML, LLM, and GenAI models and applications. * Unified platform for ML, LLM, GenAI, and agentic systems * Custom metrics and dashboards that provide visibility and a holistic view into the performance of how AI systems contribute to organizational KPIs * Fiddler Trust Service which comprises purpose-built, fine tuned models that score LLM prompts and responses at a 6x less expensive rate (compared to LLM as a judge) and are scalable * Fiddler Guardrails that offer <100ms latency and can run in cloud or VPC environments * Available natively in AWS SageMaker * Integrations with NVIDIA NeMO Guardrails and NVIDIA NIM

Highflame Red is an autonomous, continuous AI red-teaming engine designed to stress-test modern LLM applications and agentic workflows at scale. Unlike traditional, point-in-time testing, Red uses swarms of specialized adversarial AI agents that simulate realistic attacker behavior — probing, adapting, and escalating across multi-turn interactions — to uncover vulnerabilities static scans and manual exercises miss. With research-based attack engines, dynamic test generation, and a massive arsenal of curated exploits covering prompt manipulation, data leakage, context drift, model robustness, and unsafe tool use, Highflame Red continuously adapts as your stack evolves. It not only reveals hidden risks but also feeds precise mitigation steps back into runtime guardrails and policy controls to harden defenses automatically. Built for enterprise-grade resilience, Highflame Red delivers: • Autonomous adversarial testing that mirrors real-world threat tactics • Continuous risk discovery across multi-turn, multi-agent scenarios • Guardrail recommendations tailored to your models, tools, and workflows • Resilience scoring & reporting to track posture improvements over time • CI/CD integration for automated testing during development and deployment cycles. By turning red teaming into a continuous learning loop, Highflame Red ensures that defenses evolve alongside AI threats — so teams can find and fix weaknesses before they are exploited.

Most security teams are running ten, twenty, sometimes thirty tools and still can't answer the one question that matters: which exposures right now create a real path to our most critical assets? Mesh connects your existing security tools, data lakes, and infrastructure into one unified intelligence layer. It maps every identity, asset, misconfiguration, and vulnerability across cloud, SaaS, on-prem, and AI environments, then shows you exactly how those elements chain together into viable attack paths to your crown jewels. Four things happen on day one. Mesh discovers your crown jewels automatically. It surfaces real attack paths with cross-tool evidence. It prioritizes those paths by business impact and active threat intelligence. And it gives you guided or automated workflows to eliminate them. For the CISO, it also generates board-ready reporting on demand: Annual Loss Expectancy in dollars, Zero Trust posture maturity across all six pillars, and measurable risk reduction quarter over quarter. No agents. No new infrastructure. First attack paths visible on day one. How It's Different Most tools show you a slice. Your CSPM sees cloud misconfigs. Your IdP sees identity risk. Your EDR sees endpoint activity. None of them see how those three things connect into a single path to your most critical data. Mesh is the intelligence layer that sits above all of them. It doesn't replace your stack. It reads it, correlates it, and shows you what none of your individual tools can: the actual attack path, end to end, with the evidence to act on it. Four specific differences from everything else on the market: 1. Cross-domain attack paths, not isolated findings. Other exposure management tools flag CVEs and misconfigurations in isolation. Mesh shows how a misconfigured cloud workload plus an overprivileged service account plus an unpatched endpoint chain together into a direct route to a crown jewel. 2. Identity-centric by design. Mesh maps every human identity, non-human identity, service account, and AI agent across your environment, including transitive privilege relationships most tools never surface. 3. AI and Shadow AI visibility. Mesh extends the same intelligence layer into MCP-connected agents, unmanaged AI data flows, and Shadow AI your current stack has no category for. 4. Continuous, not point-in-time. Assessments begin aging the moment they're delivered. Mesh updates continuously as your environment changes, so your risk picture is never stale.