Beyond Detection: Bolster AI's 'Signals' Platform Ushers in Era of Proactive Cyber Intelligence

SANTA CLARA, Calif. – October 30, 2025 – In a cybersecurity landscape increasingly defined by sophisticated, AI-powered attacks, simply detecting threats is no longer enough. Bolster AI is aiming to shift the paradigm with the launch of ‘Signals,’ a new intelligence platform designed to provide organizations with proactive risk management capabilities. While many security solutions focus on identifying malicious activity, Signals aims to deliver context, comparison, and confidence – allowing security teams to anticipate and neutralize threats before they impact the business.

Signals isn’t just another threat detection tool; it’s a move towards ‘cyber intelligence’ – a broader approach that incorporates real-time data, industry benchmarking, and natural language querying to empower security professionals with actionable insights. The platform directly responds to a growing demand for quantifiable security ROI and a more unified approach to external threat management, according to industry analysts.

“Organizations are drowning in alerts,” explains a security leader at a major financial services firm, who asked to remain anonymous. “They need solutions that can cut through the noise and tell them what really matters. The ability to compare their threat landscape to peers and proactively identify emerging risks is a game-changer.”

Closing the Silos: Brand Protection & Cybersecurity Convergence

Traditionally, brand protection and cybersecurity have operated as separate domains. However, the lines are increasingly blurring as attackers leverage brand impersonation to launch sophisticated phishing attacks and other malicious activities. Signals directly addresses this convergence by unifying external fraud telemetry with cyber risk data.

“Fraud, security, and brand protection can no longer operate in silos,” says Rod Schultz, CEO of Bolster AI, in the press release announcing the platform. “Signals brings these worlds together so CISOs can see the full picture of their external attack surface.”

This integrated approach is a key differentiator for Signals. While competitors often focus on a specific area – such as phishing detection or social media monitoring – Signals offers a holistic view of external threats, allowing organizations to identify and mitigate risks across multiple attack vectors. “We were looking for a solution that could help us break down the silos between our security and brand protection teams,” explains a threat intelligence analyst at an e-commerce company, requesting anonymity. “Signals provides a single pane of glass for managing external risks, which is a huge improvement over our previous fragmented approach.”

Beyond Alerts: Proactive Intelligence & Benchmarking

Signals doesn’t just identify threats; it provides context and comparison. The platform leverages real-time threat intelligence to identify emerging risks and assess their potential impact. It also incorporates industry benchmarking, allowing organizations to compare their threat landscape to peers and identify areas for improvement.

“It’s not enough to know that you’re being targeted by phishing attacks,” says a cybersecurity consultant specializing in digital risk protection. “You need to know how you’re being targeted, who is targeting you, and how your threat landscape compares to your peers. Signals provides that level of insight.”

The platform’s industry benchmarking capabilities are particularly valuable. By comparing their threat landscape to peers, organizations can identify gaps in their security posture and prioritize remediation efforts. This proactive approach allows them to stay ahead of emerging threats and reduce their overall risk exposure.

Natural Language Querying: Democratizing Threat Intelligence

One of the most innovative features of Signals is its natural language querying capability. Security teams can simply ask questions – such as “What phishing campaigns are targeting our brand this quarter?” – and receive real-time insights. This intuitive interface democratizes threat intelligence, making it accessible to a wider range of users.

“Traditionally, threat intelligence has been the domain of highly specialized analysts,” explains a security operations center (SOC) manager. “Signals allows us to empower our entire security team with actionable insights, regardless of their level of technical expertise.”

The platform’s natural language querying capability is powered by advanced NLP engines and integrates with Bolster AI’s existing threat intelligence database. This combination allows security teams to quickly and easily access the information they need to make informed decisions.

Challenges & Future Outlook

While Signals represents a significant advancement in the cybersecurity landscape, several challenges remain. Integrating the platform with existing security infrastructure can be complex, and organizations need to ensure they have the necessary expertise to manage and interpret the data. Data privacy is also a critical concern, and organizations must comply with global data protection regulations.

However, the benefits of Signals outweigh the challenges. By providing proactive intelligence, industry benchmarking, and natural language querying, the platform empowers organizations to stay ahead of emerging threats and reduce their overall risk exposure. As the cybersecurity landscape continues to evolve, solutions like Signals will become increasingly essential for protecting businesses and consumers alike.

Bolster AI is already looking ahead, with plans to expand the platform’s capabilities to include automated threat response and predictive analytics. By combining proactive intelligence with automated remediation, the company aims to create a truly self-defending security ecosystem. The company’s investment in AI and machine learning positions it well to lead this next wave of innovation in the cybersecurity space. The future of security is no longer just about detecting threats; it's about anticipating them.