Solve security with AI

AI Agents That Detect, Decide, and Defend

Designed to understand, plan, reason, and adapt to the ever-evolving landscape of security — our Agents are designed to take on high-volume, high-noise, high-fatigue tasks across your security stack — autonomously.

What’s an AI Agent?

AI Agents are not chatbots — not a co-pilot — and they’re definitely not another dashboard to stare at.

Simbian’s AI Agents are fully autonomous systems built on top of LLMs, planning modules, memory graphs, toolchains, and action policies. They don’t just answer queries, they ingest signals, synthesize insight, reason across context, take decisions in real time — and most importantly, take response actions to contain threats.

How to use AI to enhance SecOps?Click to see magic

Can you list out the top priority security alerts and discard others?

No more static scripts or brittle automation.

No more analyst guesswork or triage bottlenecks.

No more “let’s get back to you with a report in 3 days.”

Simbian plugs into your existing stack and starts delivering value in under 24 hours. Within 3 months, it pays for itself — while your team gets back 10x the time, clarity, and control.

AI SOC Agent

Simbian's AI SOC Agent autonomously triages, investigates, and responds to alerts 24x7x365 from your SIEMs, XDRs, and other sources of alerts by combining the best of Simbian's security knowledge base, and your organizational knowledge.

AI Threat Hunt Agent

Simbian’s AI-Powered Threat Hunt Agent accelerates detection of stealthy threats by leveraging your existing telemetry. Amplify your threat hunting productivity by 5–10x.

AI VRM Agent

Simbian’s AI VRM (Vulnerability Remediation Management) Agent autonomously assesses vulnerability findings from your AppSec tools and CVE reports in the context of your production environment, prioritizes them, creates fixes, and tests them.

AI CTEM Agent

Simbian’s AI CTEM Agent automates universal vulnerability management process from Discovery, Scoping, Prioritization, Validation, and Mobilization.

Context Lake Fuels Decisions
Simbian Agents Make Them Smart

Simbian’s shared Context Lake™ — unlike siloed tools or isolated bots, all Simbian Agents operate on a unified knowledge graph that captures telemetry, ticket history, asset intelligence, and even tribal know-how. It means each Agent is not just smart — it’s situationally aware.

Your CTEM Agent knows what your SOC Agent just triaged.
The Threat Hunt Agent picks up behavioral signals enriched by SOC and CTEM insights to unearth hidden threats.
The VRM Agent cross-references third-party vulnerabilities with active exposures to inform what matters most.
No more analyst guesswork or triage bottlenecks.

This collective intelligence model ensures Agents work in harmony, not in silos — passing signals, decisions, and outcomes to each other without manual stitching.

AI Agents: Security That Grows
More Intelligent With Every Threat

Real-World Ready

Understands and responds effectively to the messy, unpredictable nature of real-world security.

Context Awareness

Maintains context across interactions to enable real-time, accurate, and personalized responses.

Smart Retrieval

Quickly retrieves relevant data from knowledge bases or external sources for accurate and timely investigation and triage.

Personalized Memory

Remembers preferences, past interactions, and details to deliver a tailored experience.

Scale SecOps endlessly with AI — faster response, 24/7 coverage, and no burnout.
Adapts to your unique environment, tools, and threats with always up-to-date intelligence.

92%

Alerts resolved autonomously

5X

Cost Savings

0

Playbooks needed

24/7

Coverage

3X

Reduction in MTTR

Watchdogs that never bark but always bite

Continuous Learning

Unlike static rule-based systems, AI Agents continuously learn enabling them to adapt defenses in real time.

Scalable Intelligence

Handle vast amounts of data and adapt to increasing complexity without the need for constant rule updates, unlike traditional systems.

Proactive Detection

AI Agents utilize machine learning algorithms to identify patterns and anomalies, allowing for proactive detection of emerging threats beyond predefined rules.