Blackpoint’s AI SOC Agent detects, analyzes, and contains threats across your client base. The AI is trained on telemetry from close to a million identity accounts and nearly a million endpoints, and was rigorously validated against human analyst decisions before it ever acted autonomously.
Fast enough to contain a modern attack. Accountable enough to trust.
The AI SOC Agent is built on Blackpoint AI models to detect, analyze, and contain at machine speed. A human is always in the loop and available by phone.
The threat landscape shifted when adversaries began automating their attacks. AI shrinks the attack lifecycle from days to minutes, faster than human analysts alone can match. An AI SOC closes that gap with confidence-led response at machine speed.
AI-assisted reconnaissance and automation allow attackers to identify a vulnerability, escalate privileges, and begin exfiltrating data in the same session. By the time an alert surfaces in a traditional queue, the attacker has already moved to the next target.
Password spraying, credential stuffing, phishing, and session token abuse can all be fully automated. Attackers run them across every MSP-managed tenant at once, hitting Microsoft 365 and Google Workspace accounts simultaneously.
A single compromised RMM credential or shared admin account can give an attacker simultaneous access to dozens, if not hundreds, of client environments. Automated attack tooling makes this lateral expansion faster and broader than any human team can manually contain.
Matching the speed of an automated attack requires automated defense. Blackpoint’s AI provides a confidence-led response at machine speed.
Blackpoint was founded by former NSA operators who understood exactly how attackers think, move, and exploit defenders. That perspective shaped every detection decision from day one. Most AI security vendors trained their models on enterprise data and adapted it for MSPs.
Blackpoint trained its models on years of Blackpoint’s SOC analyst decisions, incident response forensics, telemetry from endpoints and accounts, and threats that target MSPs. Before the model was ever allowed to act on its own, it ran alongside human analysts until its decisions consistently aligned with senior analyst judgment across every threat class it now handles autonomously.
When vendors talk about AI replacing the SOC, our answer is that our SOC is a big reason our AI works. The boundaries were set by former NSA, DIA, and CIA operators. The AI acts faster, but human judgment secures the outcome and always will.
Blackpoint’s AI SOC is trained on the decisions and expertise of seasoned SOC analysts, operates within human-defined guardrails, and is always backed by security professionals who are immediately available by phone when the AI SOC Agent takes action.
An AI earns the right to act on its own. Here is how Blackpoint built one, and why it can’t be replicated.
Ask any vendor claiming AI-powered detection what it was trained on and how it was validated before acting in client environments. These four advantages answer that, and they took a decade to build.
Blackpoint’s models learned from the real threats hitting managed environments, RMM abuse, credential attacks, VPN compromise, privilege escalation, and lateral movement across managed networks. They were trained on telemetry from close to a million endpoints and nearly a million identity accounts.
MSPs get detection trained on their environment type, not adapted from enterprise data.
The Blackpoint AI SOC Agent was validated against human analyst judgment across every threat class before it was ever allowed to act on its own. It works inside expert-defined guardrails and keeps improving through feedback from Blackpoint’s SOC.
MSPs gain autonomous-containment speed with confidence every action is grounded in standards Blackpoint’s SOC established and validated.
Most detection tools were designed for single-tenant enterprises. Blackpoint’s patented lateral movement detection was built for the shared infrastructure MSPs actually run, where one compromised device can reach every client.
Protection that helps prevent a single device compromise from becoming a network incident.
Every Blackpoint analyst proves offensive security skill before they’re hired, and they stay, with retention running well above the industry norm. Those same analysts set the boundaries the Agent works within and pick up the phone the moment you have a question.
Autonomous response with human accountability, backed by experts always reachable by phone.
Continuously ingests telemetry across endpoints and identities, watching for threats like RMM abuse, credential attacks, and lateral movement.
AI scores every threat against confidence thresholds set by Blackpoint’s SOC. If a threat doesn’t meet the threshold, it goes to a human analyst for immediate review.
When a threat clears the confidence threshold, the Agent acts within analyst-set boundaries. It contains threats in under two minutes, and in as little as 21 seconds for identity threats.
Every autonomous action is documented, and a SOC analyst is on the phone immediately if you have questions.
Every analyst decision feeds back into the model, tightening detection accuracy and guardrails over time.
A continuous cycle, not a one-time scan. The AI SOC Agent is always watching, always accountable.
AI SOC Agent for endpoints with autonomous containment is being validated. It’s fully backed by Blackpoint’s human-led, AI-accelerated SOC.
Explore MDRAI SOC Agent covers identities across M365 and Google Workspace accounts, with autonomous containment in under two minutes and as little as 21 seconds.
Explore ITDR
Blackpoint’s AI enriches the CompassOne platform. It transforms SOC analyst notes into clear incident summaries, actionable remediation guidance, and customer-ready insights. Your team gets the context needed to respond quickly without digging through alerts or documentation.
The AI SOC Agent contains threats in under two minutes, and identity threats in as little as 21 seconds.
Every action the AI SOC Agent takes follows standards Blackpoint’s SOC set and validated, so speed never costs you accountability.
Blackpoint’s multi-tenant protection keeps one compromised device from becoming a network-wide incident.
Early results found that Blackpoint AI reduced containment processing time by 98%, enabling faster, confidence-led response.
“Over the past five years, Blackpoint’s SOC has been a trusted extension of our team. Every minute matters when protecting our clients from today’s cyber threats. The combination of Blackpoint’s AI and security analysts gives us confidence that we’re staying ahead of the growing volume of attacks.”
Sean Furman, President, STF ConsultingRequest a demo to see how MDR and ITDR work in the CompassOne platform.
A human-led, AI-accelerated SOC combines an AI agent that detects and responds to threats autonomously with human SOC analysts who set the boundaries the agent operates within and human analysts are available by phone when an MSP has questions. The AI handles speed. The humans handle judgment and accountability.
Most AI security tools were trained on enterprise data and adapted for MSP environments. Blackpoint AI was built specifically for MSP threat patterns from the ground up, trained on close to a million managed endpoints, nearly a million identity accounts, and over a decade of SOC intelligence. The models were validated against human analyst judgment before autonomous action was ever enabled. No other vendor can replicate that dataset.
The AI SOC Agent detects threats, evaluates behavioral signals against trained threat patterns, and acts when confidence thresholds are met. For identity threats, it suspends compromised accounts, terminates active sessions, and forces a password reset in as little as 21 seconds, with an average of two minutes to contain.
Several layers. The models ran alongside human analysts until they reached documented alignment on every targeted threat class before autonomy was enabled. SOC analysts define the specific actions the Agent is authorized to take and the conditions under which it can take them. The models continuously retrain so it improves over time.
No. Blackpoint AI was built to make human analysts faster and more effective. Analysts set the operational boundaries and are available by phone when an MSP wants to discuss an incident. The AI acts at machine speed. The humans provide the judgment and accountability that a model cannot replicate.
Blackpoint AI enriches ITDR and the CompassOne platform. ITDR covers cloud identity threats across M365 and Google Workspace environments. CompassOne uses AI to generate incident summaries and remediation guidance throughout the platform. AI enrichment is being validated for MDR.
An AI SOC is a security operations center where an AI agent detects and responds to threats at machine speed, working within boundaries set by human analysts. Blackpoint runs a human-led, AI-accelerated SOC: the AI handles speed, and analysts handle judgment and accountability.
An AI SOC agent is the software that carries out detection and response inside an AI SOC. Blackpoint’s AI SOC Agent evaluates threats against trained patterns and, when confidence thresholds set by analysts are met, contains them in under two minutes, or as little as 21 seconds for identity threats.
