Automotive OEMs & Tier-1
ECUs, telematics, and connected vehicle platforms
Firmware Security. Hardware Security. Penetration Testing. Threat Intelligence. AI-Powered Security Research. We don't sell hardware, promote products, or chase sales targets — we deliver unbiased, expert-driven security assessments your organisation truly needs. We help with RED & CRA product readiness for IoT and OT devices, plus AI Security Assessment for LLMs, GenAI, and agentic systems.
Web, Cloud, Mobile & AI Security
100% Independent Validation
Immediate Triage & Escalation
Zero Noise or Scanner Swallowing
Industry Expertise
We work where a security failure carries operational, contractual, and certification consequences — not just reputational ones.
ECUs, telematics, and connected vehicle platforms
PLCs, SCADA, and plant-floor networks
RED & CRA product readiness, connected devices, gateways
Connected diagnostics, monitoring, and hospital systems
Multi-tenant platforms and customer-facing services
Internal validation, assurance, and audit support
Our Services
Our specialists run real-world simulations to uncover risk, validate exploitability, and help your organisation remediate with confidence across enterprise, embedded, cloud, and AI attack surfaces.
We red team LLMs, GenAI apps, agentic workflows, and shadow AI deployments using adversarial testing methods that expose control failures before attackers can turn them into business risk.
Explore AI SecurityLLM RED TEAMING · AGENTIC SYSTEMS
Adversarial security testing for LLMs, GenAI applications, agentic systems, and shadow AI. Aligned to OWASP Top 10 for LLM Applications, NIST AI RMF, and MITRE ATLAS.
OWASP TOP 10 · BUSINESS LOGIC
Enterprise web application penetration testing covering OWASP Top 10, API security, business logic abuse, and authentication flaws with manual exploitation and proof-of-concept evidence.
ANDROID · iOS · MASVS
Android and iOS application penetration testing covering OWASP MASVS, insecure storage, runtime tampering, API trust boundaries, and platform hardening.
AWS · AZURE · GCP · K8S
Cloud security assessment across AWS, Azure, GCP, and Kubernetes covering IAM privilege paths, workload hardening, network exposure, and CIS benchmark alignment.
SEGMENTATION · AD · DETECTION
Network perimeter and infrastructure penetration testing covering firewall rule review, segmentation validation, Active Directory attack paths, and detection coverage.
FIRMWARE · IEC 62443 · RED & CRA
IoT and OT penetration testing covering firmware analysis, hardware interfaces, industrial protocols, and IEC 62443 alignment with operations-safe methodology. RED & CRA product readiness.
Assessment Pipeline
A repeatable pipeline that combines manual expertise, AI-assisted discovery, and threat intelligence correlation — so every finding is reproducible and business-relevant.
Define targets, depth, timing, safety constraints, and escalation paths before testing begins.
Accelerate recon, highlight likely abuse paths, and correlate signals across binaries, apps, telemetry, and docs.
Review extracted filesystems, boot logic, hardcoded material, binary protections, and hardware interfaces.
Map issues to exploitability, known attacker patterns, supply-chain exposure, and business-specific blast radius.
Risk-rated remediation guidance, proof-of-concept evidence, and sections tailored for both technical and leadership teams.
Engagement Workflow
A predictable delivery model with defined checkpoints, so your teams know exactly what happens and when.
Targets, depth, timing windows, safety constraints, and escalation contacts agreed before testing begins.
Trust boundaries, attacker goals, and abuse cases mapped so effort follows real business risk.
Manual, tool-assisted, and AI-accelerated testing with every finding reproduced and evidenced.
Technical detail for engineers and a prioritised risk narrative for leadership, in one report set.
Direct access to the testing engineers while your teams design and implement fixes.
A free retest of remediated findings confirms the fix holds and closes the engagement.
Testing Packages
Flexible engagement models for organisations that need focused testing, hybrid validation, or deeper adversarial assessment across complex environments.
Full-cycle security testing with transparent pricing after a scope walkthrough. Suitable for well-defined applications and enterprise-grade systems.
Risk-free assessment. Start with free or low-cost scans. Pay only for verified vulnerabilities. No findings means you cover only minimal hourly effort.
Combines external attacker simulation with insider insights. Flexible post-assessment billing for mature applications needing deeper privilege and business-logic validation.
Adjust the expected finding counts to estimate your Hybrid engagement cost. You only pay for verified, manually-confirmed vulnerabilities.
Final pricing is confirmed after a scope walkthrough. No findings = you cover only the minimal effort floor.
Get a precise quoteWhy BlockSecBrain
Most “security” providers sell hardware, take vendor commissions, or chase sales quotas. Here's exactly how we differ from typical vendors and resellers.
| Capability | BlockSecBrainindependent | Typical vendorproduct-tied | Resellercommission-led |
|---|---|---|---|
| Independence | |||
| Sells hardware or software products | Often | Always | |
| Takes vendor referral fees / commissions | Sometimes | Always | |
| Recommendations tied to a sales quota | Often | Always | |
| Expertise | |||
| Every engagement led by senior researchers | Sometimes | ||
| Manual proof-of-concept for every finding | 100% | Mixed | Rarely |
| Firmware / hardware / IoT-OT depth | Limited | ||
| AI / LLM red-teaming capability | Emerging | ||
| Delivery | |||
| Critical-vulnerability SLA | < 24h | 3–7 days | Varies |
| Free verification retest window | 60 days | Paid add-on | |
| Multi-framework compliance mapping (one engagement) | Sometimes | ||
| Value | |||
| Pay-per-finding (Hybrid) model | |||
| Transparent pricing after scope walkthrough | Sometimes | Rarely | |
Comparisons are illustrative of common industry patterns, not specific named vendors.
Questions
Get In Touch
Tell us what you're building. We'll tell you how we'd break it — and how to stop us.
Self-Assessment
Answer 12 questions across 6 security domains to get an instant maturity score, per-domain breakdown, and tailored service recommendations.
Live OSINT Console
Enter a domain, IP, ASN, or email. The console detects the type and fires every passive intelligence module at once — real DNS records, WHOIS, Shodan ports, certificate transparency, subdomains, email security, tech stack, and more.
Reference
A quick reference for the security terms, frameworks, and attack patterns we use across our engagements. Search or filter by domain.
An LLM-powered system that takes actions via tool-use (function calling) — a new class of attack surface for prompt injection.
Broken Object Level Authorization — an API flaw where an attacker can access objects they shouldn't by manipulating IDs. Also called IDOR.
A covert marker embedded in data or systems that alerts when triggered, detecting exfiltration or intrusion.
Cybersecurity & Infrastructure Security Agency Known Exploited Vulnerabilities catalog — flaws actively exploited in the wild.
Cyber Resilience Act — EU regulation mandating security-by-design, vulnerability reporting, and lifecycle obligations for products with digital elements (IoT/OT).
Common Vulnerabilities and Exposures — a standardized identifier for publicly disclosed security flaws.
Common Vulnerability Scoring System — a standardized 0-10 severity score for security vulnerabilities.
A hardware attack technique (voltage/clock glitching) that induces errors to bypass security checks or extract secrets.
Hardware Security Module — a tamper-resistant physical device for key management and cryptographic operations.
The international standard for industrial automation and control systems (IACS) security.
Health software security standard supporting FDA premarket cybersecurity documentation for medical devices.
The automotive cybersecurity engineering standard covering the full vehicle lifecycle.
A hardware debug interface (IEEE 1149.1) used for testing and debugging embedded devices — a common physical attack surface.
JSON Web Token — a compact, signed token for stateless authentication. Vulnerable to algorithm-confusion attacks if misconfigured.
A vulnerability where an API blindly accepts user-supplied object fields, allowing privilege escalation via hidden properties.
A globally-accessible knowledge base of adversary tactics and techniques based on real-world observations.
A legacy unauthenticated protocol widely used in industrial control systems for PLC communication.
The NIST Cybersecurity Framework (2.0) — Govern, Identify, Protect, Detect, Respond, Recover functions.
The Open Worldwide Application Security Project's list of the ten most critical web application security risks.
An attack where malicious input manipulates an LLM into ignoring its instructions or leaking protected data.
Injecting malicious content into a retrieval-augmented generation knowledge base to influence LLM outputs.
Radio Equipment Directive — EU regulation requiring security features, SBOM, and vulnerability disclosure for wireless/connected devices.
Software Bill of Materials — a formal record of components and dependencies in a software product, required by RED/CRA and US Executive Order 14028.
A boot-chain verification mechanism that ensures only cryptographically signed firmware runs on a device.
Unsanctioned, unmonitored AI tools/endpoints used inside an organisation — a growing data-exfiltration surface.
An attack that extracts secrets from a device's physical characteristics (power, timing, EM emissions) rather than algorithmic flaws.
Server-Side Request Forgery — tricking a server into making requests to unintended destinations, e.g. cloud metadata endpoints.
Threat Analysis and Risk Assessment — the ISO 21434 methodology for evaluating automotive cybersecurity risk.
The IEC 62443 network-segmentation model: zones group assets by security level; conduits control traffic between them.
Tooling & Methodology
We combine industry-standard tooling with custom AI-assisted pipelines. Vendor-neutral by design — we pick the right tool for each attack surface, not the one with the best reseller margin.
Our assessments never rely on a single scanner's output. Every finding is manually validated, reproduced, and evidenced — tools accelerate, but senior researchers decide. We also build custom tooling and AI-assisted discovery pipelines where off-the-shelf tools fall short.