HCLTech AIForce – Agentic AI Platform on AWS
HCLTech · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Many organizations are adopting generative AI and autonomous agents to boost productivity and decision-making. Yet, scaling these solutions enterprise-wide is challenging due to integration complexity, governance hurdles, and security concerns. HCLTech AIForce (Agentic AI Platform) helps overcome these barriers by deploying a fully managed, Bedrock-native generative AI platform directly into your own AWS environment.
Delivered as a professional service engagement, HCLTech experts implement AIForce in your AWS Landing Zone, integrate it with your data/systems, and guide your teams to operate and scale it effectively. The solution architecture follows AWS best practices (including Well-Architected design and AWS-native security controls) for a secure, enterprise-grade deployment. By running entirely in your AWS accounts, all data and workflows remain under your control, supporting strict compliance and privacy requirements.
Show the rest of the publisher’s description (6 more lines)
Built natively on Amazon Bedrock, AIForce provides turnkey access to multiple leading foundation models (e.g., Amazon Titan, Anthropic’s Claude) without extra infrastructure overhead . The platform is LLM-agnostic, allowing you to leverage the best large language model for each use case and easily adopt new models as they emerge.
**Key capabilities:**
(1) Agentic AI Workflows: AIForce orchestrates complex tasks into multi-step AI agent workflows, integrating with your tools and data to automate processes across domains like IT support (e.g., intelligent ticket triage) and software development (e.g., code generation, test automation).
(2) Governance & Trust by Design: AIForce incorporates HCLTech’s AgentCore guardrails with built-in observability, policy control, and automated output evaluation to monitor agent actions, enforce fine-grained restrictions, and ensure high-quality, safe AI outputs . This Responsible AI approach provides transparency, auditability, and compliance alignment from day one.
(3) Scalability & Performance: The solution uses AWS-managed, serverless and containerized components for low-latency, elastic scaling of AI workloads . It integrates natively with AWS services (storage, security, CI/CD) and can support thousands of users or agents as your needs grow.
With HCLTech’s AWS-certified experts and proven methodology, you get a tailored engagement – from initial assessment and solution design through full implementation and knowledge transfer – ensuring you achieve fast time-to-value with generative AI. HCLTech AIForce enables you to harness the power of autonomous AI agents in a secure, controlled, and enterprise-optimized manner, accelerating innovation across your business while minimizing risk.
Highlights
Highlighted by the publisher on AWS Marketplace.
Bedrock-Native & Multi-Model: Built on Amazon Bedrock for fully managed infrastructure and one-click access to leading LLMs (e.g. Anthropic Claude), with LLM-agnostic support to use the best model for each task
Enterprise-Grade Governance: Secure-by-design with integrated observability, policy enforcement, and quality evaluations. Ensures trusted AI agent behaviors, full auditability, and alignment with corporate compliance and AWS best practices
Customer-Controlled Deployment: Delivered as a professional implementation in your own AWS Landing Zone for full data ownership and privacy. Highly scalable (AWS serverless architecture ), extensible, and tailored to transform use cases in IT operations, software development, and beyond
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-07-01
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.