HiddenLayer has introduced the next generation of its AI Runtime Security module, unveiling advanced capabilities specifically designed to secure autonomous AI agents during execution. As enterprises rapidly embrace agentic AI systems, this latest update focuses on safeguarding how these agents behave, make decisions, and execute actions in real time.
Notably, the company has rolled out three core capabilities to strengthen agentic AI security. These include Agentic Runtime Visibility, Agentic Investigation & Threat Hunting, and Agentic Detection & Enforcement. Together, these features address a growing concern in the cybersecurity landscape—securing AI systems beyond static controls and into real-time execution environments.
According to HiddenLayer’s 2026 AI Threat Landscape Report, one in eight AI-related breaches is linked to agentic systems. As a result, each interaction performed by an AI agent increases the operational risk and expands the potential attack surface. However, traditional security measures often focus only on prompts, policies, or permissions, leaving runtime behavior largely unmonitored. Consequently, organizations face significant blind spots when it comes to detecting threats during live AI operations.
To overcome these challenges, HiddenLayer’s new capabilities provide deep visibility into how AI agents function during execution. Security teams can now monitor multi-step workflows, identify suspicious behaviors, and prevent threats such as prompt injection, malicious tool usage, and data exfiltration before any damage occurs. In addition, the platform enables teams to analyze agent activity across sessions and workflows, making threat detection more proactive and precise.
“AI agents operate at machine speed. If they’re compromised, they can access systems, move data, and take action in seconds — far faster than any human could intervene,” said Chris Sestito, CEO of HiddenLayer. “That velocity changes the security equation entirely. Agentic Runtime Security gives enterprises the real-time visibility and control they need to stop damage before it spreads.”
Furthermore, these capabilities empower organizations with comprehensive runtime visibility, allowing them to reconstruct agent sessions and understand every action taken. Security teams can also investigate and hunt for threats by filtering and analyzing execution paths, which helps uncover anomalies and evolving risks. Once identified, these threats can be converted into enforceable policies, ensuring faster and more effective response mechanisms.
Additionally, HiddenLayer enables real-time enforcement of adaptive security policies. This means organizations can automatically restrict access, redact sensitive data, and block unsafe actions based on contextual insights, ensuring compliance and minimizing risk exposure.
“As we expand the use of AI agents across our business, maintaining control and oversight is critical,” said Charles Iheagwara, AI/ML Security Leader at AstraZeneca. “Our goal is to have full scope visibility across all platforms and silos, so we’re focused on putting capabilities in place to monitor agent execution and ensure they operate safely and reliably at scale.”
Moreover, HiddenLayer’s solution integrates seamlessly into existing agent frameworks and gateways, allowing enterprises to adopt these security measures without requiring major application changes.
“Agentic AI changes the risk model because decisions and actions are happening continuously at runtime,” said Caroline Wong, Chief Strategy Officer at Axari. “HiddenLayer’s new capabilities give us the visibility into agent behavior that’s been missing, so we can safely move these systems into production with more confidence.”
Overall, HiddenLayer’s latest innovation marks a crucial advancement in AI security, enabling organizations to confidently scale agentic AI while maintaining robust protection and control.
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