Enterprise AI Security Intelligence Network
The Global Operating Layer
for AI Governance Intelligence.
Continuously evolving enterprise protection powered by a global network of security researchers, universities, and governance specialists. Not a report. A living ecosystem.
The Intelligence Flywheel
How Research Becomes
Enterprise Protection
Every validated research contribution directly improves enterprise protection. The cycle is continuous, automatic, and community-powered.
Research Submission
Security researchers worldwide submit jailbreak discoveries, injection patterns, and governance gaps through the structured contribution portal.
Expert Validation
A team of enterprise security specialists and academic partners verify reproducibility, assess severity, and assign a governance impact score.
Threat Classification
Validated findings are indexed into the StreetMP threat taxonomy — categorised by attack family, evasion technique, provider surface, and regulatory impact.
Detection Update
The StreetMP neural detection engine is retrained with new adversarial patterns, improving runtime interception accuracy across all deployed tenants.
Governance Pack Release
Corresponding policy packs and compliance controls are updated and pushed to all enterprise subscribers — no manual intervention required.
Runtime Enforcement
Updated detections activate across every StreetMP enterprise deployment simultaneously — protecting conversations, APIs, and documents at the edge.
Enterprise Protected
Every organisation on the StreetMP network benefits from the collective research intelligence — continuously and automatically.
Continuous. Automatic. Community-Powered.
The StreetMP intelligence cycle runs 24/7 — every new discovery makes enterprise AI deployments safer for every organisation on the network.
Live Discoveries
Latest Classified Threats
Multilingual Role-Switch Bypass
Bahasa–English code-switching defeats English-only moderation. System prompt extraction confirmed.
Base64 Double-Encode PII Bypass
Token-level PII scan circumvented. Model decodes and includes raw PII in structured responses.
Few-Shot System Prompt Extraction
Crafted few-shot examples induce pattern-matching that reveals confidential system prompt fragments.
Unicode ZWNJ Evasion — Content Filter
Inserting U+200D between tokens prevents string-matching filters from flagging adversarial payloads.
Hypothetical Framing — Multi-Turn Jailbreak
5+ turn semantic chain progressively erodes safety constraints. No single-turn detection possible.
Malaysian NRIC Transliteration Evasion
Digit look-alike Unicode chars defeat regex-based PII detection for Malaysian National ID numbers.
AI Threats Evolve
Faster Than Static Rules
The security landscape around enterprise AI is not stable. Providers update their models. Jailbreaks mutate. Governance requirements expand. New attack families emerge every week. Static detection systems become obsolete before they are even deployed.
The Reality of Enterprise AI Threats
of enterprise AI interactions involve an attempted injection
StreetMP Telemetry, Q1 2026
unique jailbreak patterns discovered in the past 12 months
StreetMP Research Registry
major AI providers updated their APIs — breaking governance controls
Provider Advisory Monitoring
growth in semantic multi-turn attacks — invisible to static rules
StreetMP Threat Taxonomy
How StreetMP Stays Ahead
Continuously evolving protection
StreetMP's detection and governance systems are powered by continuous research intelligence. Every validated finding from the global research community automatically improves enterprise protections — without manual intervention.
The platform that gets smarter
every single day.
Every research submission, every bounty, every university contribution directly improves the intelligence that protects your enterprise AI deployments. This is not a static product. It is a continuously evolving protection infrastructure.
Global Intelligence Network
Research Intelligence From
Every Corner of the Planet
Researchers from leading universities and enterprises across APAC, Europe, and North America continuously contribute intelligence to the global network.
Researcher Identity
Elite Contributor Ecosystem
All programsResearcher reputation is built on impact, not popularity. Contribution quality, validation success, and enterprise adoption drive identity — not social metrics.
Contributor Roles
Independent security researchers with ≥10 validated contributions and confirmed identity.
Academic researchers from StreetMP partner institutions.
Experts focused on compliance frameworks, policy development, and regulatory mapping.
Security teams from enterprise organisations with firsthand deployment experience.
Specialists in attack taxonomy, threat classification, and adversarial intelligence.
Dedicated offensive researchers providing high-quality adversarial test corpora.
What Drives Reputation
Top Contributors — Q1 2026
Research Library
Original Intelligence Reports
APAC AI Threat Landscape 2026
14,209 intercepted interactions. Top patterns: prompt injection 38%, credential leakage 29%, PHI exposure 19%.
Multilingual Jailbreak Taxonomy v3
847 unique jailbreak patterns across 12 languages. Introduces the Semantic Evasion Complexity (SEC) score.
Sovereign AI Runtime Governance
Zero-trust AI governance spec: edge interception, semantic inspection, and cryptographic audit chains.
AI Governance for APAC Financial Services
Compliance guide for MAS TRM, India PDPB, APPI (Japan) under data sovereignty requirements.
University Partners