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 started automating their attacks. Adversaries weaponize AI and automation to reduce the attack lifecycle from days to minutes, moving faster than human analysts can compete with. The response window that once gave defenders time to investigate has significantly decreased, and human speed alone can’t close that gap.
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 attempts, and session token abuse can be fully automated, run across every MSP-managed tenant at once, targeting 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 confidence-led response at machine speed.
Blackpoint’s AI is trained on the decisions and expertise of seasoned SOC analysts, operates within human-defined guardrails, and is always supported by security professionals who are immediately available by phone when the AI SOC Agent takes action.
Here’s how we built an AI that earns the right to act on its own, and why it can’t be replicated.
Blackpoint was founded by former NSA operators who understood exactly how attackers think, move, and exploit defenders, and 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 it reached the same judgment call a senior analyst would make, on 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.
Ask any vendor claiming AI-powered detection, “What was it trained on, and how was it validated before it acted in client environments?” These four advantages answer those questions. They took a decade to build and cannot be replicated.
The models were trained on telemetry from nearly a million identity accounts and close to a million endpoints, industry threats that target managed environments, such as RMM abuse, credential attacks, VPN compromise, improper privilege escalation, and lateral movement across managed networks.
MSPs get detection trained on their environment type, not adapted from enterprise data.
Before autonomous response was enabled, the Blackpoint AI SOC Agent was rigorously validated against human analyst judgment across every threat class. It operates within expert-defined guardrails and continuously improves 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.
Blackpoint’s patented lateral movement detection was built specifically for MSP-managed environments. Unlike tools designed for single-tenant enterprises, Blackpoint understands the unique risks of shared infrastructure.
Protection that helps prevent a single device compromise from becoming a network incident.
Every analyst demonstrates offensive security knowledge before being hired, and analyst retention runs nearly two and a half times the industry standard. Analysts set the operational boundaries the Agent acts within and answer the phone immediately if there are questions about an incident.
Autonomous response with human accountability, backed by experts always reachable by phone.
Continuously ingests telemetry across endpoints and identities, watching for threats such as RMM abuse, credential attacks, and lateral movement.
AI scores every threat against confidence thresholds set by Blackpoint’s SOC. If it’s not met, it is routed to a human analyst for immediate review.
When confidence thresholds are met, the Agent acts within analyst-set boundaries, containing threats in under two minutes, or as little as 21 seconds for identity threats.
Every autonomous action is documented, and a SOC analyst is available by phone immediately if there are 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.
Explore CompassOneAutonomous containment speeds in under two minutes, with identity threats contained in as little as 21 seconds.
Every autonomous action is grounded in standards established and validated by Blackpoint’s SOC, so speed never comes at the cost of accountability.
Protection built for MSP multi-tenant environments helps prevent a single device compromise 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.
For identity threats detected through ITDR, the Agent suspends the compromised account and cuts active sessions in as little as 21 seconds, with an average of two minutes. If an MSP wants to discuss the incident, a Blackpoint SOC analyst is always available by phone.
Yes. Blackpoint SOC analysts are available by phone whenever an MSP has questions about an incident. Analysts answer the phone immediately. Every Blackpoint SOC analyst demonstrates offensive security knowledge before hire, and analyst retention runs nearly two and a half times the industry standard.
No. AI enrichment is generally available with ITDR and CompassOne. There is no additional cost as the AI SOC Agent handles more threats autonomously.
Blackpoint Cyber has been delivering managed detection and response since 2014, before there was a market category for it. Founded by former NSA offensive security operators, Blackpoint built its detection philosophy around adversary tradecraft, understanding how attackers think and move produces fundamentally different detection logic than just monitoring logs and indicators of compromise.
Blackpoint was also the first MDR provider to deliver identity threat detection for Microsoft 365, later expanding to Google Workspace and Cisco Duo. That early investment in the identity layer is why Blackpoint’s models carry over a decade of real SOC decisions, IR forensics, and telemetry from nearly a million identity accounts and close to a million endpoints.
Blackpoint built managed detection and response exclusively for the MSP channel from day one.
