Anjuna Security

On July 16 at noon ET/9 am PT, join a panel of experts for additional insights into the Cloud Security Alliance's recent survey report, "The State of Cloud and AI for Financial Services." Panelists for the session "Managing Autonomy and Trust in Financial Services" include: -> Mark Bower from Anjuna -> Troy Leach from CSA -> Sofia P. from PayPal, and -> Keith Hennett from the Federal Reserve Bank of Richmond This panel is part of CSA's Regulated Industries for Cloud & AI Summit 2026. Register for the free event here: https://lnkd.in/eZk7xrDd

AI agents can be your most productive app AND your newest insider threat. According to OWASP's Top 10 for Agentic Applications, the most common security risks for ungoverned agentic AI are: → Goal hijacking (redirecting the agent's mission mid-task)  → Tool misuse (turning legitimate integrations into attack paths)  → Identity and privilege abuse (acting beyond intended authority)  → Memory poisoning (influencing behavior over time, invisibly) As agents gain delegated authority over enterprise systems, their attack surface looks less like a software vulnerability and more like a combination of application, identity, and insider risks, which many enterprise security strategies have not evolved to address them. The immediate question is: how to evolve traditional security and governance model to reap the productivity outcomes of AI agents. Read Anjuna’s approach with runtime governance: https://lnkd.in/gCHRCT4a #AgenticAI #CyberSecurity #ConfidentialAI

Gartner predicts more than 40% of agentic AI projects will be canceled by end of 2027, not because the technology doesn't work but because enterprises don't have the controls to make it safe, cost-predictable, or accountable. Unlike generative AI that drafts content for a human to review, an agentic AI can plan, execute multi-step actions, invoke tools, access sensitive data, and make decisions with minimal human intervention. As the risk profile is fundamentally different, the security model also has to evolve. Our new whitepaper breaks down why runtime supervision isn't optional for enterprise agentic AI, and what a proper control layer should look like. Read the Anjuna approach. → https://lnkd.in/gCHRCT4a #AgenticAI #AIGovernance #EnterpriseSecurity #AIRisk

Catch the #CCSummit panel replay featuring Mark Bower and Brittany Kaiser from Alpha Compute here: https://lnkd.in/g7Ywp62d The panel discussed topics including what are the emerging regulatory frameworks to watch; how #ConfidentialComputing can simplify compliance effort; and how the deployment of agentic AI raises the stakes of compliance. Write us at anjuna.io/contact to get the whitepaper "The Regulatory Imperative for Confidential Computing" for a deeper dive.

If you are wondering how to ensure your AI agents are working in line with compliance policies, and also attending Amazon Web Services (AWS) Summit in Washington DC, let's talk! Our experts will be there. To set up a time to chat, send us a note here: www.anjuna.io/contact, or ping Greg Smith directly. We look forward to showing you how our newest product works!

If you are attending #CCSummit today in San Francisco, and is looking to understand how to address the new (many!) regulatory requirements in data security and privacy, join Anjuna's Mark Bower and co-panelist Brittany Kaiser from Alpha Compute in the regulatory panel discussion at 2:15 pm PT. #ConfidentialComputing

When we talk to security leaders about agentic AI, two fears come up consistently. One: what if the agent does something it wasn't supposed to? And two: what if the system governing the agent is compromised? Until now, the honest answer to both was: not with certainty, because the governance layer is only as trustworthy as the environment around it. If that environment is manipulated, the protection disappears. Today, we're addressing the questions with the launch of Anjuna Overwatch, the industry's first trusted control plane for autonomous AI agents. Built on confidential computing technology, Anjuna Overwatch runs inside a Trusted Execution Environment (TEE), making the control layer itself incorruptible, verifiable, hardware-enforced, and protected. It enforces context-aware policies on tool use, data access, and agent behavior in real time. Read the press release: https://lnkd.in/gYEPmZaS #ConfidentialComputing #ConfidentialAI

NIST's latest research confirms what security practitioners already know: autonomous software needs autonomous governance. However, in our view, that is not enough. We need to uplevel the governance to be built on elevated trust, not assumed trust. The fundamental flaw in nearly every modern security control platform is that the platforms themselves are vulnerable. Mean time-to-exploit is closing in on zero. When AI-driven attacks can outpace human response, the question isn't just whether your workloads are protected. It's whether your security controls can be corrupted at all. So the question is, who guards the guardians? We're entering the next phase of Zero Trust. We call it Zero Assumptions. That is, every action has to be proven and measured. Critical systems should be genuinely isolated and not just logically segmented, and hardened beyond the inherent vulnerability of software itself. Without that foundation, "trust" is just a word for hoping you won't be attacked. Confidential computing changes the calculus by moving security from assumption to proof. #ZeroTrust #ConfidentialComputing #AIGovernance #ConfidentialAI

We will be at next week's #CCSummit2026 in San Francisco. If you are also attending, let's meet up! Give us a ping here https://lnkd.in/gQ6C-3xP with your availability and we will take it from there. Looking forward to meeting up! #ConfidentialComputing #AgenticAI

Deployment of agentic AI is hitting mainstream in the financial services sector. Read the Cloud Security Alliance survey report to learn how the industry is handling AI-driven operations and the related security risks. #AISecurity #ConfidentialAI