Agentic AI, Integrated into Your SOC
Bridewell's Agentic SOC integrates agentic AI into your existing security operations, delivering rapid triage, investigation, and containment for common enterprise threats.
Cases that fall outside the scope of the agentic platform can be routed into our wider Managed Detection and Response service, ensuring complete coverage without gaps.
How we Deliver an Agentic SOC
Bridewell blends multiple commercial and private agentic tools and platforms to integrate your existing SIEM and security tooling, integrating into the wider Bridewell Cybiquity platform for consistent management.
Integration, Not Replacement
The agentic platform does not replace your SIEM or security data lake. Your SIEM remains a critical tool for threat hunting, incident investigation, detection engineering, and compliance. The agentic solution integrates above your SOC infrastructure, behind Bridewell's management systems. This reduces the complexity of infrastructure, integrations, and dependencies for your organisation while preserving the value of your existing security investments.
Intelligent Case Routing
Commercial agentic solutions excel at a defined set of integrations and use cases. They investigate phishing, account compromise, risky user activities, and similar enterprise threats with speed and consistency. For alerts that do not fit within the agentic platform's capability or integration set, Bridewell routes them into our existing Managed Detection and Response service. These cases follow our mature, proven processes for triage, containment, investigation, and closure. This model ensures you benefit from the speed of agentic AI where it is strongest, without sacrificing the depth and expertise of a human led MDR service for complex or novel threats. There are no gaps. Every alert is handled.
Flexible Response Options
Where the agentic platform identifies a threat as malicious, your organisation chooses the response model that fits your risk appetite. You can opt for autonomous containment for well understood, high confidence scenarios. Or you can route all confirmed findings to Bridewell's MDR team for validation and response. The choice is yours, and it can be tuned over time as trust in the platform matures.
What to Expect from our Agentic SOC Service
What Are the Benefits of an Agentic SOC?
Free Your Analysts for Higher Value Work
By removing the burden of repetitive triage from your security team, an Agentic SOC enables your analysts to focus on threat hunting, detection engineering, intelligence analysis, and proactive security improvement. These are the activities that measurably improve your security posture over time.
Complete Coverage Without Compromise
The integration of agentic capabilities with Bridewell's established MDR service means every alert is handled. Common threats are resolved at speed. Complex, novel, or ambiguous cases receive the depth of investigation and expertise that only a mature, human led MDR service can deliver.
Accelerated Triage and Investigation
AI agents investigate common enterprise threats with speed and consistency, reducing mean time to respond for high volume alert categories and ensuring threats are contained before they escalate.
Preserve and Enhance Your Security Investments
The agentic platform works alongside your existing SIEM, EDR, and security tooling. Bridewell does not require you to rip and replace your technology stack. Instead, we extract more value from the investments you have already made.
Regulatory Confidence
With full audit trails, transparent investigation logic, and mature governance, Bridewell's Agentic SOC supports your compliance obligations. As managed service providers come into scope under the Cyber Security and Resilience Bill, the ability to demonstrate robust, auditable security operations becomes essential.
Why Bridewell for an Agentic SOC?
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Agentic SOC FAQs
An Agentic SOC uses AI agents to investigate, triage, and enrich security alerts. Unlike traditional automation that follows fixed playbooks, agentic AI reasons about each investigation, adapts its approach based on findings, and delivers structured recommendations. Human analysts retain oversight of response decisions, ensuring accuracy and accountability.
SOAR automation executes predefined steps in sequence, regardless of what it finds. Agentic AI adapts its investigation dynamically. It gathers evidence from multiple sources in parallel, correlates findings in real time, and adjusts its approach based on the context of each specific alert. The result is faster, more accurate investigations with richer context for analyst decision making. Bridewell blends SOAR and agentic technologies to complement and accelerate detection and response processes.
No. Your SIEM or security data lake remains essential for threat hunting, incident investigation, detection engineering, custom detections, and compliance. The agentic platform sits above your existing SOC infrastructure, accelerating investigation workflows without replacing the tools your team depends on.
Alerts that fall outside the agentic platform's integration set or defined use cases are routed directly into Bridewell's Managed Detection and Response service. These cases follow our established, mature processes for triage, investigation, containment, and closure. There are no gaps in coverage.
Yes. Where the agentic platform identifies a confirmed threat, your organisation determines the response model. You can enable autonomous containment for specific, well understood threat types, or require all confirmed findings to be validated by Bridewell's MDR analysts before response actions are taken. This choice can evolve over time as your confidence in the platform grows.
Bridewell's Agentic SOC is designed for enterprise organisations seeking to add agentic capabilities into a co-managed SOC operating model, and for mid-market organisations that want the benefits of agentic investigation wrapped by a leading, human in the loop MDR service. It is particularly suited to organisations that want to mature their security operations beyond reactive alert handling and into proactive, intelligence led defence.
Further Support and Resources
The SLA Challenge
Many organisations contractually seek 15 or 30 minute service level agreements for mean time to acknowledge, with similar expectations for escalation. These SLAs reflect the understanding that speed matters, but traditional security operations often struggle to meet them consistently, particularly for complex investigation types.
The challenge is not analyst capability but workflow efficiency. A skilled analyst investigating an account compromise might spend the majority of their time gathering evidence rather than analysing it. Pulling authentication logs, checking mailbox rules, reviewing group memberships, correlating with threat intelligence: these steps are necessary but time-consuming. Reducing MTTR requires addressing this evidence gathering bottleneck.
The Agentic Difference
Moving from traditional SOAR-based automation to agentic AI investigation workflows has delivered measurable results in reducing MTTR. For account compromise investigations following phishing emails, we have reduced mean time to respond from 29 minutes to under 9 minutes, with equal or greater accuracy than tier one and two analysts.
The difference is in how the work gets done. Traditional automation executes predefined playbooks sequentially. If step three depends on the output of step two, you wait. Agentic AI can parallelise evidence gathering, adapting its approach based on what it finds. It gathers context from multiple sources simultaneously, correlates findings as they arrive, and presents a complete picture to the analyst ready for decision.
The analyst receives not just raw data but a structured assessment with confidence scoring, relevant threat intelligence, and recommended next steps. The human time spent shifts from evidence gathering to validation and decision-making. This is where reducing MTTR delivers genuine value: not by cutting corners but by eliminating inefficiency.
The Variables That Matter
It is important to be clear that reducing MTTR through AI is not automatic. Results vary based on customer maturity, data availability, and appetite for automation. Organisations with well-instrumented environments and clean data see faster improvements. Those with gaps in logging or inconsistent data quality need foundational work before AI can deliver its full potential.
Risk appetite also matters. Some organisations are comfortable with AI handling more of the investigation autonomously. Others prefer tighter human oversight at each stage. Both approaches can achieve significant improvements in reducing MTTR, but the specific numbers will differ. The 29 to under 9 minute improvement reflects customers who have embraced orchestration and AI capabilities fully.
For organisations at earlier stages of their journey, an average MTTR of under 15 minutes is an achievable target with the right partnership and approach. This still represents a significant reduction in risk compared to typical industry benchmarks.
Speed Without Sacrificing Accuracy
Reducing MTTR is only valuable if accuracy is maintained. Faster wrong answers are worse than slower right ones. The agentic approach succeeds because it accelerates the right parts of the process while preserving human judgment where it matters.
Evidence gathering is deterministic and thorough. The AI does not skip steps to save time; it executes them in parallel to save time. Analysis is comprehensive, considering multiple hypotheses and weighing evidence systematically. Confidence scores are calibrated against historical outcomes, so analysts know when to trust AI recommendations and when to investigate further.
The human analyst validates findings before containment actions are taken. This validation step adds minimal time but provides the quality assurance that prevents costly errors. Reducing MTTR through AI is about working smarter, not cutting corners.
The Strategic Implication
For CNI operators, reducing MTTR is directly tied to risk reduction. Every minute saved in response is a minute less for an attacker to achieve their objectives. In environments where the consequences extend to physical safety and essential services, this is not an abstract improvement.
The organisations seeing the best results are those partnering with providers who have invested in agentic capabilities and proven them in operational environments. Reducing MTTR at this scale requires more than tools; it requires the workflows, integrations, and expertise to apply AI effectively to security operations.
Speed matters. AI makes speed achievable without sacrificing the accuracy that critical infrastructure demands.
Martin Riley
Chief Technology Officer
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Why Us?
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Awards
Our team have won numerous industry awards, including 'Cyber Business of the Year' at the National Cyber Awards 2024 and 'Best Cyber Security Company of the Year' at the Cyber Security Awards 2023.
Certifications
Our people and services are highly accredited by leading industry bodies including CREST, the NCSC, and more. Our SOC holds extensive accreditations from CREST (including for CSIR and SOC2) and works closely with our cyber consultancy services.
Partnerships
As a Microsoft Partner, we also hold advanced specialisms in Cloud Security and Threat Protection. We’ve also implemented some of the UK’s largest deployments of the Microsoft Security stack, inc. Sentinel, Defender, Purview and more.
