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We’re thrilled to unveil the launch of Agentic-Based Compliance, a groundbreaking model for surveillance operations that leverages a network of AI agents to deliver 20x efficiency, precision, and intelligence across the entire trade surveillance and transaction monitoring investigation lifecycle.
The Shifting Market Landscape Demanding a New Compliance Model
Global markets are undergoing a fundamental shift. The lines between traditional and decentralized finance are blurring, introducing new asset classes, regulatory complexity, and novel risk vectors. At the same time, round-the-clock trading and a surge in off-exchange venues have fragmented liquidity and obscured risk signals. Market manipulation has also outgrown rules-based detection, with coordinated schemes spanning assets, venues, and social platforms. Legacy compliance systems—designed for centralized, linear, and static markets—can no longer keep pace with the speed and complexity of this transformation.
The Compliance Crisis: A Problem of Architecture
Despite massive investments in surveillance tools, firms continue to face enforcement actions, reputational damage, and operational strain. Compliance teams are forced to work with a patchwork of disconnected and expensive tools that fail to deliver results efficiently.
- 80% of compliance analysts’ time is spent on low- or medium-risk alerts, often chasing false positives (McKinsey).
- Insider trading occurs in 20% of M&A and 5% of earnings announcements.
- Only 4% of Suspicious Activity Reports (SARs) lead to law enforcement actions—pointing to systemic inefficiencies.
This isn’t a failure of effort. It’s a failure of architecture.
That’s why we’re launching Agentic-Based Compliance – our boldest leap forward yet, purpose-built to meet the demands of modern markets with intelligence, scale, and speed.
Our Answer to Modern Markets: Agentic-Based Compliance
Agentic AI is a new kind of artificial intelligence—goal-driven, autonomous, and context-aware—unlike traditional models that wait for prompts and follow static rules. These AI agents take initiative: planning, executing, and adapting in real time to evolving data and complex situations, all while operating under human oversight. This is the intelligence behind Solidus’ Agentic-Based Compliance.
Built on Solidus’ HALO proprietary platform with unmatched signal depth, Agentic-Based Compliance reimagines the entire compliance investigation lifecycle. It replaces legacy systems and siloed workflows with a unified, intelligence-led architecture powered by autonomous AI agents that augment human analysts and operate across a multi-dimensional risk environment.
“Agentic-Based Compliance is the only way compliance teams can stay ahead of emerging complexities like 24/7 off-platform trading, enhanced retail participation and the heightened risks they carry for cyber-enhanced financial crimes and cross-product and cross-market manipulation.” said Asaf Meir, Founder and Chief Executive of Solidus Labs. “Our vision is simple: Compliance operations should be as scalable, intelligent, and efficient as the markets they’re designed to protect. Solidus’ Agentic-Based Compliance delivers just that, solving for tech sprawl, alert fatigue, talent shortage and surveillance blind spots that cost firms thousands of hours and can reach billions of dollars in losses and fines.”
HALO embeds a fleet of purpose-built AI agents, each designed to streamline a specific stage of the compliance investigation lifecycle — from signal enrichment and alert remediation to model testing, OSINT intelligence feeds, case management, and regulatory reporting.
Born in crypto’s highly fragmented and complex environment, Solidus’ Agentic-Based Compliance is future-proof by design for all asset classes. Like all Solidus Labs’ solutions, Agentic-Based Compliance was developed in tandem with regulatory feedback - aligning with the current and evolving demands of modern financial markets, including the imperatives of market abuse regulations in the U.S., EU, and other leading jurisdictions.
HALO is trained on real trade surveillance workflows, regulatory scenarios, and investigative protocols, making it a truly fit-for-purpose AI for Compliance. Your data never leaves your environment, and your model remains as secure as if built in-house. Compared to public LLM, you retain full data control with highest standards of data security and privacy.
The Impacts
Agentic-Based Compliance brings human-level judgment to automated surveillance—at machine scale and speed:
- 20x faster investigations
- 5+ hours/day saved per analyst
- Smarter queue and compliance operations management
- Real-time insights into market exposure and regulatory risk
- Enterprise-grade data security—your data never leaves your environment.
- Alignment with global market abuse and digital assets regulations
Poised to power the next generation of surveillance operations, Solidus’ Agentic-Based Compliance is already gaining traction among forward-looking financial firms seeking to modernize their compliance capabilities and reduce operational strain.
Discover the Solidus Edge
