Where security acts on adversarial risk, not governance noise

Focus security on true adversarial behavior across AI systems and agents. Act on high-confidence risk, informed by red team findings, topology intelligence, and control plane signals from the rest of the platform.

See the Platform in Action

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Across all agentic platforms and agent frameworks

Why security needs a different input

Security teams have become the default owner of every AI problem. Most of those problems didn't start as security incidents. They started as governance gaps and control drift. When upstream fails, security is what's left.

That model breaks at agentic scale. The volume is too high, the contexts too varied, and the cost of false positives too steep. Security teams either drown in alerts or stop investigating the ones that matter.

Singulr changes the input. With Runtime Governance and Runtime Control doing their work upstream, the events that reach security are the ones that should: real adversarial behavior, not preventable escalation.

How It Works

Adversarial detection

Prompt injection attack detection. Adversarial and jailbreak attack detection. Unauthorized data exfiltration detection.

Exposure and risk surface

Model vulnerability exposure alerts. Exposure surface scoring. High-risk AI service identification. OWASP Top 10 validation.

Investigation and forensics

Forensic prompt and completion traceability. Change audit tracking. Every incident comes with the upstream context analysts otherwise have to reconstruct.

Workflow integration

XDR and SIEM feeds. Security incident correlation across systems. Incident escalation workflows. Automated ticketing into the tools your SOC already runs.

Adversarial detection

Prompt injection attack detection. Adversarial and jailbreak attack detection. Unauthorized data exfiltration detection.

Exposure and risk surface

Model vulnerability exposure alerts. Exposure surface scoring. High-risk AI service identification. OWASP Top 10 validation.

Investigation and forensics

Forensic prompt and completion traceability. Change audit tracking. Every incident comes with the upstream context analysts otherwise have to reconstruct.

Workflow integration

XDR and SIEM feeds. Security incident correlation across systems. Incident escalation workflows. Automated ticketing into the tools your SOC already runs.

What's different

Security suites respond to AI incidents. Singulr prevents preventable failures by enforcing governance upstream. The difference is what gets to security in the first place.

When governance defines intent and control enforces it, the events that reach security are the ones that genuinely matter. Less noise. Higher confidence. Faster containment.

Security becomes precise. Consequence-focused. Not compensatory.

Most vendors tell you what happened. Singulr ensures the right thing happened.

What it delivers

For CISOs

Stop owning every AI problem. Act on adversarial risk with upstream context that makes investigation fast.

For SOC and IR teams

Fewer preventable escalations, full forensic traceability when incidents do happen, and integration with the XDR and SIEM stack you already run.

For CAIOs and AI leaders

Security that doesn't slow agentic AI down,doesn’t override agent decisions for the wrong reasons, and knows the difference between a control failure and an adversarial event.

/ LET’s COLLABORATE

See it in context

Runtime Security is one of three runtime pillars in the Singulr platform, encircled by the Singulr Assurance Layer™.

Security is most powerful when it doesn’t have to compensate for what came before it. Singulr makes that possible.

Explore Singulr Runtime Governance™

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Explore Singulr Runtime Control™

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See how the closed loop works

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