Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Information security management is now seen as highly important by consumers, and ISO 27001 is the highest accolade within this expectation. By 2025, ISO 27001 certification will be more than just a nice-to-have. It’ll be essential for many organizations, especially newer startups that offer services to big companies.

With 66% of B2B customers now checking for SOC 2 vulnerability compliance before signing contracts, vulnerability assessment and continuous security monitoring are now expected not just during annual audits, but as regular operational exercises.

In 2024, India recorded over 369 million malware detections across >8 million endpoints, making it one of the most targeted nations within the Asia-Pacific region. If you are dealing in ISMS, ISO 27001 is one core certification that defines the grit and robustness of your internal security posture, offering your investors and regulators credibility that drives your market value.

Over the past few years, APIs have quietly become the front door to your most critical data and workflows, flipping security ownership on its head. Accountability and ownership of both API and Application security have shifted from your central infra and network teams to product, platform, and engineering squads that ship new APIs every week, and well, sometimes every day. This is where CISOs and CTOs feel the tug strengthening from both sides.

In a world where 86% of enterprise buyers bail if they can’t verify security early, the demand for transparency has reached a critical point. Every vendor claims to have security certifications, compliance badges, and rock-solid infrastructure, but how can buyers verify these claims when they’re hidden behind emails or buried in 400-page PDFs?

Researchers in 2019 proved something that sent shock waves throughout the machine learning community. With nothing more than the facial recognition API’s confidence scores, they reconstructed clear images of people whose photos had been used to train the learning model. The re-creations were not exact replicas, but they came close enough that real people whose likenesses had never been consented to could be identified.