As enterprises race to embed AI into every corner of their operations, a quieter race is unfolding in parallel: securing systems that don’t behave like traditional software. DeepKeep is squarely targeting that gap.
The company announced that its end-to-end AI security and trustworthiness platform is now available on both AWS Marketplace and Google Cloud Marketplace, making it significantly easier for enterprises to discover, deploy, and scale AI security alongside their existing cloud infrastructure. It’s a move that reflects a growing consensus in the industry: AI security can no longer be bolted on—it has to be built in.
Why AI Security Has Become a Board-Level Issue
AI adoption is no longer experimental. Large language models, multimodal systems, and autonomous agents are now embedded in customer support, software development, analytics, and decision-making workflows. But with that adoption has come a new class of risk—one that traditional security tools weren’t designed to handle.
In 2025 alone, breaches involving shadow AI—unsanctioned or poorly governed use of AI tools—added an estimated $670,000 to the average cost of a data breach. That figure highlights a broader problem: AI systems can leak data, hallucinate sensitive information, or be manipulated in ways that don’t fit neatly into existing security frameworks.
Unlike conventional applications, AI systems are probabilistic. They can generate unexpected outputs, amplify bias, or behave unpredictably when exposed to adversarial inputs. Firewalls, IAM policies, and endpoint protection tools weren’t built for that reality.
This is the environment DeepKeep is stepping into.
What DeepKeep Actually Does
DeepKeep positions itself as a purpose-built AI security platform, designed specifically to address the unique risks of modern AI systems. Rather than focusing solely on infrastructure security, it targets the behavior, inputs, and outputs of AI models themselves.
Key capabilities include:
- Real-time AI monitoring to detect unsafe, non-compliant, or anomalous behavior
- Advanced red-teaming to stress-test models against adversarial prompts and misuse scenarios
- AI firewalls that protect against data leakage, prompt injection, and malicious manipulation
- End-to-end coverage spanning development, testing, and production environments
The platform supports multimodal AI, advanced LLMs, and increasingly common agentic AI systems—autonomous models that can take actions, call tools, or trigger workflows without direct human input.
That last category is especially important. As enterprises deploy AI agents that can write code, query databases, or interact with external systems, the blast radius of a single failure or exploit grows dramatically.
Marketplace Availability: More Than a Distribution Update
Listing on AWS Marketplace and Google Cloud Marketplace is about more than convenience. For many enterprises, these marketplaces have become the default procurement channel for cloud-native tools, particularly those tied to security and compliance.
By making DeepKeep available through both platforms, enterprises can:
- Deploy AI security using existing cloud accounts and billing
- Integrate protection directly into current AWS and Google Cloud environments
- Reduce friction in procurement, onboarding, and scaling
- Align AI security spend with broader cloud governance strategies
In practical terms, this lowers the barrier for security teams that are already overwhelmed by the pace of AI adoption across business units.
Guy Sheena, DeepKeep’s Chief Business Officer, framed the launch as a recognition that AI security is no longer optional. As organizations scale AI usage, he argues, there is “no viable path forward without dedicated AI security.”
Google Cloud Partner Status Adds Credibility
Alongside its marketplace launch, DeepKeep also announced that it is now an official Google Cloud Partner. That designation isn’t just a logo swap—it signals that DeepKeep has passed Google’s technical vetting and demonstrated customer success within the Google Cloud ecosystem.
For enterprise buyers, that matters. AI security is still a young category, and trust is a gating factor. Partner status provides an added layer of validation, along with access to Google Cloud’s support, training, and co-marketing resources.
It also reinforces a broader trend: hyperscalers increasingly recognize that AI risk management can’t be solved by native tooling alone. Instead, they’re leaning on specialized vendors to address areas like model behavior, trustworthiness, and governance.
The Bigger Picture: From Cloud Security to AI Trust
DeepKeep’s move reflects a wider shift in enterprise security priorities. Over the past decade, cloud security evolved from perimeter defense to zero trust and continuous monitoring. AI security appears to be following a similar trajectory—but at a faster pace.
Key drivers include:
- Regulatory pressure, as governments scrutinize AI safety, transparency, and bias
- Legal exposure, when AI-generated outputs cause harm or violate policy
- Reputational risk, as hallucinations or data leaks erode user trust
- Operational risk, as AI agents gain more autonomy inside enterprise systems
Traditional controls can secure the infrastructure running AI, but they don’t address what the AI is actually doing. Platforms like DeepKeep are betting that enterprises will increasingly demand visibility and control at the model level—not just the server level.
Competitive Landscape: A Crowded but Immature Market
AI security is attracting intense interest from startups and incumbents alike. Some cloud providers are expanding native guardrails, while security vendors are racing to adapt existing tools for AI workloads.
What distinguishes DeepKeep is its focus on end-to-end AI trustworthiness, rather than point solutions. By covering development, deployment, and runtime behavior across multiple AI modalities, it aims to become a central control plane for AI risk.
Whether enterprises standardize on platforms like this remains to be seen. But as AI systems become more autonomous and more deeply embedded in business processes, the cost of getting security wrong is rising fast.
Making AI Adoption Sustainable
The underlying message of DeepKeep’s marketplace launch is pragmatic. Enterprises aren’t slowing down AI adoption—they’re accelerating it. The question is whether security, compliance, and governance can keep pace.
By meeting customers where they already operate—inside AWS and Google Cloud—DeepKeep is positioning AI security as an enabler, not a blocker. If that framing sticks, AI security may finally move from a reactive concern to a foundational layer of enterprise AI strategy.
And in a world where shadow AI can quietly add hundreds of thousands of dollars to breach costs, that shift may come not a moment too soon.
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