Key Takeaways
- Wallarm’s AI Control Platform unifies AI security and API security in a single closed‑loop system that discovers, observes, and enforces policies on AI workloads in real time.
- The platform is now generally available on AWS Marketplace and leverages AWS infrastructure to provide continuous visibility without requiring code changes or per‑container agents.
- Core components include the AI Hypervisor, which auto‑discovers AI agents, models, APIs, and data sources while tracing every session end‑to‑end, and Infrastructure Discovery, which maps AWS resources and correlates security findings in plain language.
- With the EU AI Act set to take effect in August 2026, the platform supplies the auditable evidence and inline enforcement needed for compliance, reducing the gap between AI deployment and governance to near zero.
- Early adopters such as CarCollect report strengthened security posture and confidence in scaling AI ecosystems.
- Wallarm will showcase the AI Control Platform at AWS Summit 2026 (Los Angeles, Booth 414, June 10).
Overview of the AI Control Platform
Wallarm today announced the general availability of the AI Control Platform, a unified architecture designed for the discovery, control, and inline enforcement of enterprise AI workloads. Available immediately on AWS Marketplace, the platform serves as the foundation for Wallarm’s expanding AI‑security portfolio through 2026. It addresses a growing mismatch: enterprises are deploying AI faster than they can inventory, monitor, or govern those workloads, leading to frequent data incidents and heightened regulatory risk.
The Governance Gap in Enterprise AI
Research cited by Wallarm shows that nearly 80 % of organizations have experienced data incidents involving generative AI, while 72 % of active corporate AI tools are rated high or critical risk. Moreover, 45 % of companies now rank generative AI as a top IT budget priority according to AWS’s 2025 Generative AI Adoption Index. Despite this surge, most enterprises lack the ability to stop AI incidents as they happen, leaving them exposed to breaches, compliance violations, and reputational damage.
Regulatory Pressure Looming
The upcoming enforcement of the EU AI Act in August 2026 creates a near‑term compliance deadline for regulated industries. Organizations that cannot demonstrate robust AI governance face material legal consequences. Wallarm positions its AI Control Platform as the continuous, auditable visibility and enforcement mechanism required to satisfy those obligations, turning a reactive security posture into a proactive governance engine.
From Visibility Gaps to Continuous AI Governance
The platform introduces the first closed‑loop system that unifies AI security and API security under runtime control. Its four‑step workflow—discover AI infrastructure and workloads in real time, observe AI behavior at runtime by tracing every session end‑to‑end, enforce policies immediately when risk is detected, and govern AI transformation across the enterprise—shifts security from periodic reviews and reactive alerts to ongoing, enforceable oversight. Security and IT teams can now answer critical questions that were previously unanswerable: what assets constitute the AI stack, what data the system accesses right now, which external services it contacts, and whether sensitive data is leaving the organization—and if so, stop it instantly.
Built on AWS Infrastructure
AWS supplies the underlying compute, storage, networking, and native security services that enterprises rely on. Wallarm extends this foundation into the AI layer by monitoring what decisions agents make, what data they access, and what leaves the environment. Because the integration works at the traffic level, no code changes, agents, or container modifications are required. Together, AWS and Wallarm deliver a complete AI control loop—from discovery through runtime governance to inline enforcement—while preserving the scalability and performance that cloud‑native applications demand.
AI Hypervisor: Real‑Time Discovery and Enforcement
The first product on the platform, the AI Hypervisor, automatically discovers AI agents, frameworks, model‑provider calls, MCP servers, APIs, and data sources solely from runtime behavior. It observes AI workloads running on Kubernetes, capturing every outbound connection an AI service makes to major model providers such as AWS Bedrock, Anthropic, OpenAI, and Azure OpenAI. By tracing each AI session from the initial prompt through model and tool calls back to the user, the Hypervisor establishes a baseline for increasingly autonomous interactions, including agent‑to‑agent and service‑to‑service workflows.
Beyond observation, the AI Hypervisor detects sensitive data in transit, attributes AI usage and associated costs to specific users or teams, enforces policies at the connection level, and generates continuous compliance evidence suitable for EU AI Act and SOC 2 audits. This unified observability and control layer enables CIOs and CTOs to manage AI transformation without introducing security bottlenecks.
Infrastructure Discovery: Live Mapping of AWS Resources
Complementing the AI Hypervisor, the Infrastructure Discovery component continuously maps every AWS account, region, compute instance, network component, API Gateway, Lambda function, and IAM resource. It builds a live relationship graph that illustrates how systems interconnect, detects changes between scans, and overlays AWS Security Hub findings directly onto the affected assets—translated into plain language for rapid action. Security teams can therefore prioritize and remediate critical findings with confidence, knowing exactly which AI‑related resources are implicated.
Compliance, Auditing, and Real‑World Impact
By providing continuous, inline enforcement and auditable evidence, the AI Control Platform helps organizations meet stringent regulatory requirements such as the EU AI Act while also supporting internal governance frameworks like SOC 2. Early adopters illustrate the platform’s value: Wout Groenendijk, CTO of CarCollect, notes that Wallarm secures his company’s expanding ecosystem of AI, MCP servers, and APIs, delivering the full visibility and control needed to strengthen overall security posture as the business scales.
Wallarm at AWS Summit 2026
Wallarm will showcase the AI Control Platform at AWS Summit 2026 in Los Angeles, California, on June 10 at Booth 414. Attendees can schedule meetings or request product demonstrations via the Wallarm website or by contacting [email protected]. The summit appearance underscores the partnership between Wallarm and AWS and highlights the platform’s readiness for enterprise adoption.
About Wallarm
Wallarm is the AI Control Platform for Enterprise AI, safeguarding every AI workload, API, and application in production. It equips CISOs with the governance they require and CIOs with the speed they demand, offering a complete inventory of APIs, AI agents, and AI applications, patented AI/ML‑based threat detection and blocking that operates at production traffic speeds. Headquartered in Austin, Texas, and backed by Toba Capital, Y Combinator, and other investors, Wallarm continues to innovate at the intersection of AI and security. More information is available at www.wallarm.com.
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